Sr Auto Data Scientist Pricing R D

Our Value Proposition:
Clearcover is a venture-backed technology start-up disrupting the trillion-dollar legacy insurance market. We’ve focused on building products that create confident, happy customers - and we’re flourishing. We believe in putting our people first, paying them well, and working together to solve tough problems. If you’d like a high-growth opportunity with an award-winning company, let’s chat.
What are we looking for in a Sr. Auto Data Scientist?
We're looking for a self-starter to help build and evaluate our pricing algorithms to enhance our risk segmentation. Working alongside our actuarial and insurance product management teams, you'll leverage statistical techniques to more accurately segment our customers and build new pricing features.
What will you do as a Sr. Auto Data Scientist?

Build and evaluate pricing and unit economic component models
Develop risk segmentation recommendations that find the right balance between growth and unit economics
Collaborate with the Insurance Product, Product, Marketing, and Machine Learning functional areas to attract the right customers at the right time
Democratize data and insights to facilitate data-driven decision-making

What will you bring as a Sr. Auto Data Scientist?

3+ years of experience with applying advanced quantitative or predictive modeling techniques
Experience in Property and Casualty
Actuarial experience is a plus.
Exceptional analytical, quantitative, and problem-solving skills with a deep intellectual curiosity and an ability to make data-based decisions
Strong programming skills with experience in SQL, R, and Python
Excellent communicator and willingness to challenge the status quo
Alignment with Clearcover core values

But wait, there’s more:
As a people-first company, your health and well-being is a priority at Clearcover. We offer comprehensive benefits for individuals and families:

Medical. We offer rich and affordable BCBS plans for you and your dependents. If you select the high deductible health plan, we offer an HRA and contribute to your HSA.
Dental and vision. We cover 100% of dental and vision premiums for you and your dependents.
Pre-tax benefits, disability, and life insurance.
401(k). We contribute 3%, even if you contribute nothing.

We’ve also curated a stack of perks and benefits that stretch beyond the expected. Our people have access to:

Generous vacation, 12 paid holidays, and parental leave.
Equity in the company (plus an evergreen plan) and an annual bonus program.
Employee resource groups, live yoga, and mental health workshops.
Top of the line hardware, snack stipends, and meeting free “Focus Fridays”.

We’re a remote first company, having paved the way for flexible work locations and continue to offer this flexibility. If you are local or in town visiting, you also have the choice to work from our Chicago HQ office.

Remote employees are eligible to work from: AZ, CO, CT, FL, GA, IA, IL, IN, KS, MA, MI, MN, MO, NC, NJ, OK, SC, TN, TX, UT, VA, WI.

To top it all off, if Clearcover is available in your state, you could have access to an employee discount on auto-insurance! Excited to learn more? Complete the application below!
Clearcover is an Equal Opportunity Employer (EOE) that welcomes and encourages all applicants to apply regardless of age, race, color, religion, sex, sexual orientation, gender identify and/or expression, national origin, disability, veteran status, marital or parental status, ancestry, citizenship status, pregnancy or other reasons prohibited by law.


Sr Data Scientist

Who's Clearcover?
Clearcover is the smarter car insurance company. We use powerful technology to offer everyday drivers better coverage for less money. We’re proud to be one of the fastest growing startups in Chicago, and we’re currently looking to add a few more extraordinary people to our team.
What is a Sr. Data Scientist at Clearcover?
Clearcover has an enormous range of opportunities around data science and machine learning ranging from marketing and acquisition, fraud detection, customer experience, and claims payment. As a Sr. Data Scientist, you will work closely and independently with our business partners, product teams, data engineers, and machine learning engineers to build and deploy machine learning and AI models to create and deliver real and measurable value for our customers. You will lead, coach, and mentor more junior data scientists while working independently on complex data science problems. We’re looking for someone curious and passionate about data and machine learning and using them to solve real world problems.
What will you do?

Lead, coach, and mentor junior data scientists
Review machine learning models and code
Work with our product managers and business stakeholders to identify and scope the highest value data science problems
Explore and understand our data and how they can feed production-grade machine learning models
Proactively utilize data and business understanding for feature engineering
Build, prototype, and deploy state-of-the-art machine learning models to solve real business problems
Communicate, interpret, and explain modeling output to stakeholders
Measure value of the machine learning models we deploy

What do you need?

3+ years of professional experience working as a data scientist
Experience mentoring, managing, or leading data scientists
Experience reviewing others’ models and code
Expertise in building and deploying machine learning models that have been adopted or implemented, and achieved measurable value
Experience using the Python data science stack; including pandas, scikit-learn, NumPy, XGBoost, notebook environments, etc.
Experience with Python, including object-oriented programming
Knowledge of SQL, including Snowflake or similar systems
Expertise with different types of machine learning techniques
Strong conceptual understanding of machine learning applied to real-world data, including the ability to identify and articulate modeling and data issues
Ability to work in and lead teams
Ability to quickly learn and keep up with the latest ML and AI technology
Ability to effectively communicate technical concepts to non-technical audiences

Nice to Haves?

Experience working in insurance, marketing, or fraud
An advanced degree

Did you know that women and minorities are less likely to apply to a position if they don’t match 100% of the job qualifications? Don’t let that be the reason you miss out on this opportunity! We encourage you to apply anyway. Don’t count yourself out!
But wait, there’s more:As a people-first company, your health and well-being is a priority at Clearcover. We offer comprehensive benefits for individuals and families:

Medical. We offer rich and affordable BCBS plans for you and your dependents. If you select the high deductible health plan, we offer an HRA and contribute to your HSA.
Dental and vision. We cover 100% of dental and vision premiums for you and your dependents.
Pre-tax benefits, disability, and life insurance.
401(k). We contribute 3%, even if you contribute nothing.

We’ve also curated a stack of perks and benefits that stretch beyond the expected. Our people have access to:

Generous vacation, 12 paid holidays, and parental leave.
Equity in the company (plus an evergreen plan) and an annual bonus program.
Employee resource groups, live yoga, and mental health workshops.
Top of the line hardware, snack stipends, and meeting free “Focus Fridays”.

We’re a remote first company, having paved the way for flexible work locations and continue to offer this flexibility. If you are local or in town visiting, you also have the choice to work from our Chicago HQ office.

Remote employees are eligible to work from: AZ, CO, CT, FL, GA, IA, IL, IN, KS, MA, MI, MN, MO, NC, NJ, OK, SC, TN, TX, UT, VA, WI.

To top it all off, if Clearcover is available in your state, you could have access to an employee discount on auto-insurance! Excited to learn more? Complete the application below!
Clearcover is an Equal Opportunity Employer (EOE) that welcomes and encourages all applicants to apply regardless of age, race, color, religion, sex, sexual orientation, gender identity and/or expression, national origin, disability, veteran status, marital or parental status, ancestry, citizenship status, pregnancy or other reasons prohibited by law.


Sr Predictive Modeling Analyst

Our Value Proposition:
Clearcover is a venture-backed technology start-up disrupting the trillion-dollar legacy insurance market. We’ve focused on building products that create confident, happy customers - and we’re flourishing. We believe in putting our people first, paying them well, and working together to solve tough problems. If you’d like a high-growth opportunity with an award-winning company, let’s chat.
What are we looking for in a Sr. Predictive Modeling Analyst?
We're looking for a self-starter to help build and evaluate our pricing algorithms to enhance our risk segmentation. Working alongside our actuarial and insurance product management teams, you'll leverage statistical techniques to more accurately segment our customers and build new pricing features.
What will you do as a Sr. Predictive Modeling Analyst?

Build and evaluate pricing and unit economic component models
Develop risk segmentation recommendations that find the right balance between growth and unit economics
Collaborate with the Insurance Product, Product, Marketing, and Machine Learning functional areas to attract the right customers at the right time
Democratize data and insights to facilitate data-driven decision-making

What will you bring as a Sr. Predictive Modeling Analyst?

3+ years of experience with applying advanced quantitative or predictive modeling techniques
Experience in Property and Casualty
Actuarial experience is a plus.
Exceptional analytical, quantitative, and problem-solving skills with a deep intellectual curiosity and an ability to make data-based decisions
Strong programming skills with experience in SQL, R, and Python
Excellent communicator and willingness to challenge the status quo
Alignment with Clearcover core values

But wait, there’s more:
As a people-first company, your health and well-being is a priority at Clearcover. We offer comprehensive benefits for individuals and families:

Medical. We offer rich and affordable BCBS plans for you and your dependents. If you select the high deductible health plan, we offer an HRA and contribute to your HSA.
Dental and vision. We cover 100% of dental and vision premiums for you and your dependents.
Pre-tax benefits, disability, and life insurance.
401(k). We contribute 3%, even if you contribute nothing.

We’ve also curated a stack of perks and benefits that stretch beyond the expected. Our people have access to:

Generous vacation, 12 paid holidays, and parental leave.
Equity in the company (plus an evergreen plan) and an annual bonus program.
Employee resource groups, live yoga, and mental health workshops.
Top of the line hardware, snack stipends, and meeting free “Focus Fridays”.

We’re a remote first company, having paved the way for flexible work locations and continue to offer this flexibility. If you are local or in town visiting, you also have the choice to work from our Chicago HQ office.

Remote employees are eligible to work from: AZ, CO, CT, FL, GA, IA, IL, IN, KS, MA, MI, MN, MO, NC, NJ, OK, SC, TN, TX, UT, VA, WI.

To top it all off, if Clearcover is available in your state, you could have access to an employee discount on auto-insurance! Excited to learn more? Complete the application below!
Clearcover is an Equal Opportunity Employer (EOE) that welcomes and encourages all applicants to apply regardless of age, race, color, religion, sex, sexual orientation, gender identify and/or expression, national origin, disability, veteran status, marital or parental status, ancestry, citizenship status, pregnancy or other reasons prohibited by law.


Ai Scientist Intern

Remote Work Option:Yes
Requisition Number:175967
Date Opened:2022-09-29
Electronic Arts is the leading interactive entertainment company, powered by innovative technology. We create incredible experiences for millions of players around the world. But what matters most is our people who inspire us, and the world, to play. As we bring new forms of entertainment to people around the world, we need creative, collaborative, diverse and adaptable people to keep making Electronic Arts better.
We are EA
And we make games – how cool is that? In fact, we entertain millions of people across the globe with the most amazing and immersive interactive software in the industry. Making games is challenging. That's why we employ the most creative, passionate people in the industry.
The Challenge Ahead
The EA Digital Platform Data & AI Group provides unified Artificial Intelligence (AI) resources across all franchises within Electronic Arts. Our group develops state-of-the-art machine learning, AI, and data-driven solutions to game team problems, and common AI infrastructure for use in every facet of the company. From data modeling to agent building, we use a modern, cloud-based tech stack with excellent tools to provide solutions and platforms empowering the future of game development and player experience. We're looking for an AI Scientist to join our team!
What an AI Scientist Intern does at EA
Develop state-of-the-art algorithms and extract essential insights from EA's rich store of data to empower intelligent agents within the EA ecosystem
Create scalable solutions for problems in the gaming domain
Develop and evaluate new AI applications for content creation, NPC behavior, game balance evaluation, and recommendations
Work with the core development teams to deploy AI applications as part of production systems
Establish scalable, efficient, automated processes for enterprise-level management of AI applications
Research and implement novel AI approaches for new problems.
The next great EA AI Scientist has
Be in pursuit of a PhD or MS with experience in Computer Science, or related fields (focus in AI or ML)
Experience having developed novel AI algorithms, and major journal and conference publications
Strong programming skills (object-oriented and functional paradigms)
Experience with large-scale data and distributed systems – Experience with Apache Hadoop, Spark, and Tensorflow
Experience with SQL and MPP databases
Excellent written and verbal communication skills
About EA

We exist to inspire the world to play. Through innovative technology and immersive storytelling, we deliver new ways of experiencing worlds of interactive entertainment for our millions of players worldwide. Our strength lies in the diversity of our people, combining creativity, innovation and passion. We fully champion inclusive culture, and provide opportunities for growing, learning, and leading that allows for the most impactful and rewarding work of our teams’ careers.

We put our people first, and we make sure they’re taken care of both in and out of the office. As we reflect on our learnings and successes from remote work, we aim to provide dynamic, collaborative and flexible work environments for our teams. Our employees connect through our Employee Resource Groups, which are actively involved in driving business decisions every step of the way. But our support doesn’t end at the workplace—we also encourage a balanced lifestyle with paid time off and new parent leave, free video games, fitness reimbursement and more.

Our goal is to provide a safe, respectful and inspiring workplace for all of our employees. Through our diversity, equity, inclusion and social responsibility programs, we’re doing the work to give everyone the space to be their full selves while giving back to our community. We’re looking for problem-solvers, game-changers, innovators, dreamers, doers—people that are ready to move the needle and build on our success. As our industry accelerates, we aren’t just keeping up—we’re staying ahead of the game.

Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. Electronic Arts also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.


Director Of Data Science

So, what’s the role?
We are looking for a Director of Data Science to join us in transforming the way data & analytics is used in insurance. Since we tackle insurance differently, we are looking for this individual to bring their expertise and knowledge to the team while also working to innovate and continually find more effective and efficient ways to grow our business profitably, while retaining our best customers.
You’ll have the opportunity to build out a team of highly skilled data scientists and develop an analytics strategy as Kin expands into new states and product lines. This position will work closely with each business unit to brainstorm, develop, and operationalize various predictive models to drive business results.
In addition, you’ll have a unique opportunity to work side-by-side with our growing data engineering & MLops teams to contribute to the model development and implementation engineering strategy.
A day in the life could include:

Recruit, onboard, and develop a team of highly skilled data scientists
Work alongside business partners to build out a data science vision, strategy, & roadmap
Translate business objectives into analytics solutions and translate results into business insights using appropriate data science applications
Collaborate with the engineering team to research and recommend tools to assist with the development and productionalizing of ML models
Contribute & lead the development of industry-leading predictive models, including profitability & price sensitivity models
Communicate technical findings to both technical & non-technical peers & leaders
Identify, integrate, and parse large data sets, combining data from disparate sources to identify insights and patterns using traditional as well as predictive and prescriptive analytics.
Develop data science best practices and basic analytics training across the organization

I’ve got the skills… but do I have the necessary ones?

10 years+ experience developing and leveraging predictive models / machine learning to drive business results
5 years+ experience managing data scientists, developing both individual contributors and people leaders
Insurance experience strongly preferred
Proficient in Python and various ML frameworks (e.g. scikit-learn, h2o, xgboost)
Experience working with tools to develop and implement predictive models (i.e. Domino Data Labs, Sagemaker, etc…)
Experience operationalizing & scaling predictive models in production to solve real world problems
MS or PhD in Computer Science, Statistics, or related field preferred
Strong interpersonal and communication skills, including the ability to explain and discuss technical concepts to peers and leaders from other disciplines
Experience working with remote/distributed teams is strongly desired.
Familiarity with the full ML Ops cycle.
Demonstrated track record of thinking outside the box to use new data sets to influence outcomes.

Oh, and don’t worry, we’ve got you covered!

Medical, Dental and Vision Insurance
Flexible PTO policy
Very generous equity options and 401K
Parental Leave
Continuing education and professional development
Disability and Life Insurance
The excitement of joining a high-growth Insurtech company and seeing your work make an impact


Data Science And Data Engineering Internship Summer

#WeAreCrowdStrike and our mission is to stop breaches. As a global leader in cybersecurity, our team changed the game. Since our inception, our market leading cloud-native platform has offered unparalleled protection against the most sophisticated cyberattacks. We’re looking for people with limitless passion, a relentless focus on innovation and a fanatical commitment to the customer to join us in shaping the future of cybersecurity. Consistently recognized as a top workplace, CrowdStrike is committed to cultivating an inclusive, remote-first culture that offers people the autonomy and flexibility to balance the needs of work and life while taking their career to the next level. Interested in working for a company that sets the standard and leads with integrity? Join us on a mission that matters - one team, one fight.Company Overview:CrowdStrike is a global leader in cybersecurity. Our University Program is dedicated to attracting and cultivating the next generation of talent in virtually every field. Our program offers competitively paying positions that allow students and recent graduates to gain real-world experience and develop essential skills while they learn from the best and brightest working professionals. We offer our interns a structured twelve- or ten-week program and supportive, collaborative virtual, in-person, and hybrid environments where they can ignite their passion for the future of technology. Our University Program is designed to provide participants with exposure to meaningful work that supports CrowdStrike’s mission to make the digital world a safer place to live and work. CrowdStrike is where your talent meets cutting-edge tech. Ready to start building a career you can be proud of? Join us!We are committed to fostering a culture of belonging where everyone feels seen, heard, valued for who they are and empowered to succeed. Our approach to cultivating a diverse, equitable, and inclusive culture is rooted in listening, learning and collective action. By embracing the diversity of our people, we achieve our best work and fuel innovation - generating the best possible outcomes for our customers and the communities they serve. We encourage all prospective candidates to apply if their background matches the expertise below.Fully Remote:The Data Science Internship is fully remote and requires no travel. Your work location is the city/town/province you will be working from remotely. Interns are also invited to work out of the CrowdStrike office located closest to their remote location.About the Role:
You will have the opportunity to apply your coding, mathematical and scientific research skills to the bleeding edge of security technology. You’ll be able to leverage large-scale rich data to meaningfully improve our supervised learning models and refine our identification of malicious computer software and behavioural threats.
Work directly with Sr. Data Scientists, helping to create predictive machine learning models that help detect and stop today's most sophisticated threats
Hone your ability to balance detail-oriented research with goal-oriented business objectives
Implement and experiment with new algorithms and methodologies to help improve our machine learning models
Automate an visualise analyses, results and processes in our machine learning pipeline
Minimum Qualifications:
Penultimate or final year of a Masters programme
Penultimate or final year of a PhD programme
Analytically minded with completed coursework in linear algebra and statistics or an equivalent knowledge of applied mathematics.
Experienced in writing python code to pre-process and analyse data to generate actionable insights.
Bonus Points:
Have experience working on very large data sets of sparse high dimensional data and experience in pre-processing and analysing such data to gain actionable insights
Eagerness to learn working in a Linux environment in the AWS cloud
Passionate to gain knowledge of CI / CD and associated best practices along with Docker-based development and orchestration
Willing to learn to contribute to the open source community (GitHub, Stack Overflow, blogging)Prior experience with Spinnaker, Relational DBs, or KV Stores
What You Can Expect
Remote-first culture
Executive Speaker Series & Tech Talks
Fun socials and give-back events (e.g. virtual trivia, escape rooms, Intern Spirit Week, etc.) occurring weekly
Development workshops to grow your soft and hard skills
Networking opportunities with fellow interns and CrowdStrikers
Owning impactful projects that move the company forward
Working alongside a diverse and global team
Assigned one-on-one mentor and continuous feedback
Participation in our Employee Resource Groups (ERGs)
Access to our FalconFit Wellness Program and Employee Assistance Program
Fun Slack channels (e.g. food, gaming, sports, pets, etc.)
Paid holidays, sick days, and optional enrolment into pension plans
Market leader in compensation
CrowdStrike is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex including sexual orientation and gender identity, national origin, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.#LI-HP1#LI-RM1#LI-Remote

We are committed to fostering a culture of belonging where everyone feels seen, heard, valued for who they are and empowered to succeed. Our approach to cultivating a diverse, equitable, and inclusive culture is rooted in listening, learning and collective action. By embracing the diversity of our people, we achieve our best work and fuel innovation - generating the best possible outcomes for our customers and the communities they serve.
CrowdStrike is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex including sexual orientation and gender identity, national origin, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.


Data Scientist

Company Overview

Flock Safety provides the first public safety operating system that empowers private communities and law enforcement to work together to eliminate crime. We are committed to protecting human privacy and mitigating bias in policing with the development of best-in-class technology rooted in ethical design, which unites civilians and public servants in pursuit of a safer, more equitable society.
Our Safety-as-a-Service approach includes affordable devices powered by LTE and solar that can be installed anywhere.  Our technology detects and captures objective details, decodes evidence in real-time, and delivers investigative leads into the hands of those who matter.
While safety is a serious business, we are a supportive team that is optimizing the remote experience to create strong and fun relationships even when we are physically apart. Our flock of hard-working employees thrive in a positive and inclusive environment, where a bias towards action is rewarded. Flock Safety is headquartered in Atlanta and operates nationwide. We have raised over $380M in venture capital including a recent Series E round led by Tiger Global.  Now surpassing a 3B valuation, Flock is scaling quickly and seeking the best and brightest to help us meet our goal of reducing crime in the United States by 25% in the next three years.
Additional Information

How To Succeed at Flock Video
Flock’s Series E Announcement
How We Stop Crime and Protect Privacy
Flock’s Framework
Ethics Center

The Role
Flock is looking for a passionate Ops Data Scientist to explore, mine, and build data, and leverage it using advanced analytical techniques to help drive critical business decisions.
How you’ll make an impact:

Perform analyses on large datasets using statistical and AI techniques to derive insights
Design and build seamless decision support tools that leverage advanced analytical techniques
Understand and augment key data sources to be leveraged in decision making
Work with teams from across the business to execute on data and analytics needs to help them better understand tactical and strategic opportunities

We’re looking for people who have:

BS/MS in Computer Science, Mathematics, Statistics, Engineering or related field, or equivalent industry experience
3+ years proven experience as a data scientist, ML engineer, or BI engineer
Strong experience using Python and its core AI/ML/OR packages
Strong SQL and data processing skills
Experience modeling data to drive analytics
Experience in Tableau
Ability to communicate and drive for solutions to complex and abstract problems
Effectively communicate, and seek to understand and be understood

Our general interview process is outlined here.

Our Values
Our values define how we approach our work every single day:

Do the Work
Optimism With a Plan
Embrace Change to Grow
Protect the Whole Community

To read more about our values click here.
Why Join Us?

We have raised over $380M in venture capital and are backed by some of the top VCs including a16z, Tiger Global, Meritech and more.
94% of employees recommend working at Flock Safety
Incredible product-market fit. Flock fits that “goldilocks” set of price, functionality, and service
We are scaling quickly and seeking the best and brightest to help us meet our goal of reducing crime in the United States by 25% in the next three years.
Uniquely mission-driven company. Making communities safer through objective, evidence-based technology.

Key Stats

3% of crimes in the US are solved by Flock
Flock cameras help solve ~200 crimes/day
70% of all crime involves motor vehicles
2100+ cities with private cameras
1500+ agency relationships across the US
195% police customer retention rate
1B+ images processed a month (we process more images than Instagram)

Employee Benefits

In this role, every full-time employee receives equity (stock options) in the company and a salary range of $120,000 - $140,000 commensurate with experience.
We offer unlimited PTO and twelve paid holidays (Your Birthday, New Year’s Day, MLK Jr Day, Memorial Day, Juneteenth, Fourth of July, Labor Day, Thanksgiving, Day After Thanksgiving, Christmas Eve, Christmas Day, and New Year’s Eve)
We offer fully-paid health benefits plan for employees, including Medical, Dental and Vision
We provide 16 weeks of 100% paid leave for primary caregivers and six weeks of 100% paid leave for secondary caregivers
We provide $150 per month work from home allowance
We provide a $250 per year L&D stipend that can be used on Audible, Calm, Masterclass, Duolingo, and so much more
Each new hire receives a one-time stipend of $750 to assist with expenses that come with setting up a home office
We provide employees who are not local to the ATL headquarters with coworking space access paid for by Flock

Flock is an equal opportunity employer. We celebrate diverse backgrounds and thoughts and welcome everyone to apply for employment with us. We are committed to fostering an environment that is inclusive, transparent, and collaborative. Mutual respect is central to how Flock operates, and we believe the best solutions come from diverse perspectives, experiences, and skills. We embrace our differences and know that we are stronger working together.


Principal Applied Scientist Machine Learning Engineer Commerce Graph

Reports to: Senior Director of Engineering
Powering the business requires a deep, semantic understanding of the real-world entities at the core of commerce including businesses, merchants, payment channels, customers, and all the ways they interact. The Commerce Graph team is responsible for constructing a unified model of these entities across data sources. The graph is the source of truth on which the team also builds solutions for transaction understanding, data discovery, data mining, and exploration. It enables partner teams across the company to build richer campaign offerings, develop deeper targeting models, provide merchant insights, and more.
You will:

Lead data analysis, research, and development of core techniques for integrating and enriching massive datasets to construct a rich, semantic graph representation of commerce in the real world
Collaborate closely and build rapport with product and engineering teams across organizations to influence long term strategy for the team and organization
Research and implement state of the art approaches for information extraction, data normalization, inference, entity reconciliation, NER (Named Entity Recognition) / NEL (Named Entity Linking), and truth discovery at scale
Own the end-to-end lifecycle from inception to production deployment

You have:

6+ years of hands-on experience in data science, machine learning, and/or natural language processing over large data sets
Experience developing, launching, and maintaining ML models in a production setting
Knowledge and experience with graph data models and algorithms, graph ML, and semantic data representations are a plus
Experience working with cloud-based tools for data analysis and ML lifecycle management is a plus
MS or PhD degree in Computer Science or a related field

You are:

Skilled and knowledgeable in the latest machine learning techniques
Self-motivated and passionate about building high quality solutions
A strong cross functional team player, working with product and engineering counterparts across organizations to support business critical applications
Excellent at problem solving through experimentation and rapid iteration
An effective communicator and mentor with a data-driven, solution-oriented mindset

We offer:

$1,000 annual Lifestyle Spending Account - Company funded account that can be used for physical, emotional, and financial wellness!
Flexible PTO
Healthcare benefits that go into effect day one
Employer funded Health Savings Account (HSA)
Paid Maternity and Paternity Leave
Competitive compensation
Up to $5,250 annually for educational assistance and student debt repayment
$250 initial home office stipend + $900 annually for communication ($75/month)
401k company match (50% of contributions up to 5% of earnings)
Programs for spot bonuses, referral bonuses, anniversary milestones, mentoring, top performer development, and more!

About Cardlytics
At Cardlytics (NASDAQ: CDLX), we created an industry…but we are just getting started. From idea inception at a kitchen table in Atlanta to now publicly traded on NASDAQ with offices around the world, we are proud of the work we've accomplished and are looking for more smart and creative minds to join us on our mission.
By using data for good, we connect brands with real people through their banks' digital channels (think: online and mobile apps). And when we make these connections, everyone wins - brands drive more sales, banks drive more loyalty, and people receive more cash back. It's that simple.
So how exactly does it work? Through our partnerships with financial services companies like Chase, Bank of America, Wells Fargo, and Venmo, we have insights into one out of every two card swipes in the U.S. This equates to roughly $3.1 trillion in annual purchase spend from more than 161 million bank customers.
Respecting this complete view of the consumer, we can create mutually beneficial relationships between those consumers and their favorite brands and financial services partners. These are relationships that otherwise would not have happened without our help. It's our advanced targeting that drives advertising performance - because performance matters, and it's our superpower.
Are you ready to become a shareholder and join a team filled with creatives and data scientists, consultants, and artists, to help redefine marketing?
We are committed to diversity, equity and inclusion, and leveraging our unique perspectives to grow our company to new heights, while ensuring Cardlytics is a great place where great people want to be.


Senior Data Scientist Emerging Market Apac

Location: Remote-friendly
Reddit is continuing to grow our teams with the best talent. This role is completely remote friendly and will continue to be after the pandemic.
We are looking for a results-oriented and strategically minded Product Data Scientist to work with our International Growth team as Reddit expands its user base abroad. In particular, you will be focused on understanding how content is created on Reddit and enable users to post more fluidly abroad. This is a truly zero-to-one role where you will be able to work with Product, Engineering, Design and other cross-functional partners to uncover greenfield and white space opportunities.
How You’ll Have Impact:
Today, a large portion of Reddit’s user base lives in the US. Reddit’s mission is to bring community, belonging, and empowerment to everyone in the world, which means we are making a major push to expand our audience internationally. Emerging Market is a key focus for Reddit’s international growth and we need you to be a key player in driving our content strategy abroad.
What You’ll Learn:
As a Data Scientist, you will become an expert in improving Reddit’s product-market fit for a global user base. You’ll be pivotal in understanding how users interact with our product today and how that differs from other audiences. You’ll be a champion to the users through evaluating the performance of existing Reddit features for international users, as well as uncovering opportunities for new experiences.
You will work side by side with a world-class org of Engineering, Machine Learning, User Research, Community Operations, and Product Management practitioners who work together to create a variety of capabilities for Reddit to be more successful in its decision-making and product creation. In this process, you will be exposed to a variety of new techniques in exploratory analysis, machine learning, and experimentation.
Responsibilities:

Partner cross functionally with Eng and Product leads to help define and execute Emerging Market’s roadmap and initiatives
Become the expert at understanding user behavior and growth mechanism
Generate data-driven insights that propose the next steps in the strategic roadmap through proactive exploratory analyses and opportunity sizing
Design and evaluate A/B tests for product feature experiments to determine the effectiveness of product strategy
Define team metrics and goals and work with the Data Warehouse team to create ETLs (extract/transform/load) and reporting dashboards

Required Qualifications:

6+ years of experience in quantitative analytical roles, preferably for growing at-scale consumer products outside the US
Proficiency with relational database (e.g., SQL)
Familiarity with statistical analysis and programming languages (e.g., R / Python)
Results-oriented with a strong customer and business focus
Entrepreneurial and self-directed, demonstrated ability to innovate and bias toward action in fast-paced environments.
Ability to communicate and discuss complex topics with technical and non-technical audiences
Ability to tackle ambiguous and undefined problems
Previous experience with international growth preferred

Benefits:

Annual Personal & Professional development funds
401k Matching Plan
Flexible PTO
Paid holidays + Wellness days

#LI-Remote #LI-NH1


Data Scientist

Data Scientist, LiveRamp Safe Haven

LiveRamp is the leading data connectivity platform. We believe connected data has the power to change the world. Our platform powers insights and experiences centered around the needs of real people, and in ways that keep the Internet open for all. LiveRampers thrive on building together with curiosity and humility—and have a good bit of fun along the way. We’re always looking for smart, kind, and creative people to grow our team and impact.

Mission: LiveRamp makes it safe and easy for businesses to use data effectively.

About this role:  LiveRamp is seeking a Data Scientist to join our Safe Haven team. In this role you will tell our customers a story with their data. You’ll work directly with our largest and most complex clients’ datasets and data teams to help them derive value from the newly unlocked potential that our Safe Haven provides them.

You will:

Act as a subject matter expert (SME) on how to efficiently leverage the Analytics Environment within LiveRamp’s Data Collaboration platform in order to help clients enable their use cases
Work efficiently with client data and analytics partners to define, configure, extract, aggregate, analyze, package, synthesize, and share data, results, and actionable insights to support client campaigns, products, or business decisions
Build up a strong understanding and expert knowledge of the various data sources and methodologies brought together for LiveRamp data sharing solutions – retail transaction data, 1st-party CRM data, ad exposure and response data, and 3rd-party data provider attributes (demographics, psychographics, lifestyle segments)
Collaborate with client on how to creatively leverage this rich data asset for their respective insight, segmentation, measurement, and activation needs
Identify data gaps and advocate for additional data sources to meet unmet marketplace need(s)
Build and foster positive reputation with client-facing delivery teams and Product & Engineering teams to successfully collaborate on designing, building, and launching analytical solutions
Outline pragmatic solutions to answering insight needs with an eye toward balancing quantitative rigor, data incompleteness, and timelines conducive to rudimentary vs. sophisticated methods
Prepare compelling analytical presentations and effectively communicate complex concepts to marketing and business audiences
Work with the internal engineering teams to provide input to the data science product roadmap
Provide mentorship and guidance to other data analysts/scientists where necessary

Your team will:
Help customers make sense of datasets from across the ecosystem and find meaningful value in sharing data with Safe Haven.

About you:

Bachelor’s degree in Math, Statistics, Economics, Computer Science, Predictive Analytics or other quantitative discipline (Master’s Preferred)
3+ years of work experience in a data science role ideally in a professional services environment: digital advertising, database marketing, or interactive/ technology consulting
3+ years of hands-on experience in data extraction and manipulation using tools such as SQL, Hive/ Impala/ Redshift/ BigQuery with minimal supervision
3+ years hands-on experience working with data visualization tools such as Tableau, Looker and/or others with minimal supervision
2+ years of hands-on experience with scripting languages such as Python, PySpark, Spark, and/ or R for statistical modeling
Solid understanding of current data science best practices and technology stacks
Experience generating consistently accurate, statistically sound analysis and interpreting, translating and synthesizing data into actionable insights in the form of reports, dashboards and client ready presentations
Hands on experience with propensity modeling, lookalike modeling and segmentation
Experience integrating multiple data sources (1st-party, 3rd-party, media activity) and utilizing creative analytical approaches to answer client audience insight or performance questions
2+ years of experience interfacing directly with clients and being able to present complex analytical material in an easy-to-understand manner
Experience with cloud computing services such as GCP
Attention to detail and time management - delivering high quality, client-ready work for multiple projects across several client engagements while meeting deadlines

Bonus Points:

Knowledgeable of the media planning, measurement, and optimization process and acumen (both online and offline)
Understanding of omni-channel campaign measurement methodologies
Proficient with the application of analytic methods in digital and mobile channels
Proficient with direct and/or interactive marketing test design
Demonstrated history of innovation with emerging ad platforms, data, measurement, or analysis techniques
Understanding of LiveRamp’s role in the market and the broader AdTech/MarTech space
Data privacy/security and related governance processes (Privacy Impact Assessment, CCPA, GDPR, etc)

Benefits:

People: Work with talented, collaborative, and friendly people who love what they do.
Fun: We host in-person and virtual events such as game nights, happy hours, camping trips, and sports leagues.
Work/Life Harmony: Flexible paid time off, paid holidays, options for working from home, and paid parental leave.
Whole Health Package: Medical, dental, vision, life, disability, long term care, accident and critical illness insurance, pre-tax accounts (health, dependent and commuter), and a family forming benefit through Carrot. Plus Milk Stork, backup child and elder care, and discount on pet insurance, mental health support (via Talkspace)
FlexPerks reimbursement program to provide flexibility and choice ($375/quarter) for fitness, emotional, financial, family, travel and entertainment, convenience and security expenses. (U.S. LiveRampers)
Savings: Our 401K matching plan—1:1 match up to 6% of salary—helps you plan ahead.  Also Employee Stock Purchase Plan - 15% discount off purchase price of LiveRamp stock (U.S. LiveRampers)
RampRemote: A comprehensive office equipment and ergonomics program—we prove you with equipment and tools to be your most productive self, no matter where you're located

More about us:
LiveRamp’s mission is to connect data in ways that matter, and doing so starts with our people. We know that inspired teams enlist people from a blend of backgrounds and experiences. And we know that individuals do their best when they not only bring their full selves to work but feel like they truly belong. Connecting LiveRampers to new ideas and one another is one of our guiding principles—one that informs how we hire, train, and grow our global team across nine countries and four continents. Click here to learn more about Diversity, Inclusion, & Belonging (DIB) at LiveRamp.


Principal Data Scientist Customer Analytics

Working at Atlassian

Atlassian can hire people in any country where we have a legal entity. Assuming you have eligible working rights and a sufficient time zone overlap with your team, you can choose to work remotely or return to an office as they reopen (unless it’s necessary for your role to be performed in the office). Interviews and onboarding are conducted virtually, a part of being a distributed-first company.

Your future team
The Customer Analytics team at Atlassian delivers insights about our customers throughout their lifecycle with Atlassian. We define and maintain a customer health score, provide insights on customer engagement, build and deploy models to predict potential churn and expansion. We design analytical frameworks to understand different parts of the customer journey, help customers get more value from our product suite and develop insights on the multi-year effort to transition server customers to Cloud. This team partners with other analytics teams and plays a huge role in important programs improving the business. We are a collaborative team with a high bar for analytical rigor, and we love to have fun along the way. We are looking for a top-tier data scientist to be an important contributor to the customer analytics team.

What you'll do

You will help build customer profiles and deliver meaningful insights to improve the efficacy of go-to-market (GTM) and Product programs
You will partner with Atlassian's Enterprise Growth, Product Analytics and Customer Success teams to improve Onboarding, Adoption, Expansion and Retention across our product portfolio
Involved in identifying positive and negative triggers related to product usage and workflows, coming up with data-driven recommendations for programs, defining evaluation metrics, designing experiments, analyzing results to understand the efficacy of the projects and building interactive dashboards to track and understand progress
Be a partner to the Enterprise Growth and CSI team and work with the broader Analytics organization to deliver customer insights
You will mentor senior data scientists and independently guide work with product managers

Your background

9+ years of experience in analytics or related fields
Understand and analyzing digital campaigns at scale - Pre-Post Analysis, A/B testing
Expertise in SQL and proficiency in another data programming language (Python, R)
Create raw data and analysis into well-written content
Experience designing and analyzing experiments that impact product decisions
Passionate about customer experience, and customer analytics as a craft
Share analyses and recommendations to non-technical audiences
Understanding of machine learning techniques such as Regression, Clustering, Decision Trees, Gradient Boosting Machines

Our perks & benefits

To support you at work and play, our perks and benefits include ample time off, an annual education budget, paid volunteer days, and so much more.

About Atlassian

The world’s best teams work better together with Atlassian. From medicine and space travel, to disaster response and pizza deliveries, Atlassian software products help teams all over the planet. At Atlassian, we're motivated by a common goal: to unleash the potential of every team.

We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.

To learn more about our culture and hiring process, explore our Candidate Resource Hub.


Associate Data Scientist Graduate

Working at Atlassian

Atlassian can hire people in any country where we have a legal entity. Assuming you have eligible working rights and a sufficient time zone overlap with your team, you can choose to work remotely or return to an office as they reopen (unless it’s necessary for your role to be performed in the office). Interviews and onboarding are conducted virtually, a part of being a distributed-first company.

Your future team
Join Atlassian to start your career with us to have impact on how millions of users collaborate and use software. The most amazing thinkers—like NASA rocket scientists and Tesla engineers—are coming to us for solutions. We're in the business of developing software to help teams everywhere get amazing ideas on the ground and into the world. Sound like an exciting place to start your career? Here you'll be encouraged to use your imagination and try new things. You'll be guided (as we are) by our core values, and you'll be supported by some of the best minds in tech. You will report to one of our analytics managers within our marketing organization.

Not eligible for Visa sponsorship. Unfortunately, we do not offer U.S. work visa sponsorship to F-1/OPT, J-1/TN, or H-1B student graduates at this time.

What you'll do

Work with partners to identify high impact opportunities for analytics, and align analytics & data science priorities with our partner's strategy
Improve user journey and customer value by managing large volumes of data to understand insightful trends
Guide the measurement culture and understand the impact of our partner's strategy; including designing and analyzing experiments and feature launches
Envision, scope, and implement projects by collaborating with partners, customer research, data engineers and other data scientists
Share your high-quality recommendations to multiple levels of leadership to guide important decisions and shape overall company strategies
Foster a world-class analytics culture, leading by example, through education and creation of self-service tools, to make a lasting change in how your partners use data to make decisions

Your background

Must be currently enrolled in a full-time degree program and graduating between December 2022 to June 2023
Experience with SQL and other programming languages
Experience with dashboard tools like Tableau, Micro-strategy, PowerBI
Can commit to a full-time (40hrs / week)
Have a passion for Data Science, expressed by previous internships, work experience, projects, or publications
Please note: At this time, this role is only open to entry-level candidates with less than a year of professional experience (this does not include internships/co-ops)

It's great, but not required, if you

Have experience with machine learning and predictive modeling
Have a general understanding of supervised learning, optimization, and statistical analysis
Can translate business problems into technical solutions

Our perks & benefits

To support you at work and play, our perks and benefits include ample time off, an annual education budget, paid volunteer days, and so much more.

About Atlassian

The world’s best teams work better together with Atlassian. From medicine and space travel, to disaster response and pizza deliveries, Atlassian software products help teams all over the planet. At Atlassian, we're motivated by a common goal: to unleash the potential of every team.

We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.

To learn more about our culture and hiring process, explore our Candidate Resource Hub.


Research Scientist Engineer Speech Recognition

We are the world’s learning company with more than 21,000 employees operating in 70 countries. We combine world-class educational content and assessment,powered by services and technology, to enable more effective teaching and personalized learning at scale. We believe that wherever learning flourishes so do people.
Responsibilities:
Perform the entire R&D cycle (building language models, training acoustic models, building statistical models for measuring the performance, etc.) for new and existing products that use ASR and automated grading
Design new algorithms for different purposes (such as improving the grading performance)
Perform data analysis for different requirements
Proactively research ways to apply the latest methodologies to improve the automated grading system’s capability, reliability, and accuracy
Maintain grading system
Qualifications
Required experience will include:
Master’s in Computer Science, Electrical Engineer or relevant areas with 3-5 years working experience; Ph.D. or ABD (all but dissertation) with graduation in plan preferred
Strong desire to integrate research with product development and augment your research abilities with solid programming in C/C++ and proficiency with SQL, Perl (or Python), and Matlab (or R)
Skilled knowledge of speech recognition, probabilistic systems, and statistical models
Strong background in statistical modeling and machine learning
Demonstrate a willingness to learn and apply a wide range of technologies
Experience with linguistic and statistical analysis of natural language would be highly desirable
Experience in designing and running ASR (Automated Speech Recognition) experiments using HTK or KALDI are a plus
Strong written and verbal communication skills
#LI-POST
Learning is the most powerful force for change in the world. More than 20,000 Pearson employees deliver our products and services in nearly 200 countries, all working towards a common purpose – to help everyone achieve their potential through learning. We do that by providing high quality, digital content and learning experiences, as well as assessments and qualifications that help people build their skills and grow with the world around them. We are the world’s leading learning company. Learn more at pearsonplc.com.
Pearson believes that wherever learning flourishes, so do people. We are committed to being an anti-racist company in everything we do. We value the power of an inclusive culture and a strong sense of belonging. We promote a culture where differences are embraced, opportunities are accessible, consideration and respect are the norm, and all individuals are supported in reaching their full potential. Through our talent, we believe that diversity, equity, and inclusion make us a more innovative and vibrant place to work. People are at the center, and we are committed to a sustainable environment and workplace where talent can learn, grow, and thrive.
To learn more about Pearson’s commitment to a diverse and inclusive workforce, please click here:  http://www.pearson.com/careers/diversity-and-inclusion.html
Pearson is an Affirmative Action and Equal Opportunity Employer and a member of E-Verify. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our work will be. All employment is decided based on qualifications, merit, and business need. All qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, sexual orientation, gender identity, gender expression, age, national origin, protected veteran status, disability status, or any other group protected by law.
Job: PROFESSIONAL DEVELOPMENT
Organization: English Language Learning
Schedule: FULL_TIME
Req ID: 6822
#LI-REMOTE


Statistical Analyst

Pearson is the world’s learning company, operating in nearly 200 countries around the world, with over 20,000 employees. We provide content, assessment and digital services to schools, colleges and universities, as well as professional and vocational education to learners to help increase their skills and lifelong employability prospects. We aim to support learners throughout their lifetime for every moment that matters – whether this is exam preparation and success, graduating from university, getting a new job, studying for a postgraduate degree, changing career, or looking for a new challenge.
From world-class assessment to virtual learning and beyond – we create the products and services that help tens of millions of people reach their goals each year. And we make sure our products fit with our key sustainability targets – to make learning accessible to everyone, to lead responsibly, and to give the next generation the skills they need to shape a better world.
Our vision is to have a direct relationship with millions of lifelong learners and to link education to the way people aspire to live and work every day. To do that, we will collaborate with a wide group of partners to help shape the future of learning. Our purpose is to help people make progress in their lives through learning.
We also believe we are at our best when we harness the unique skills, perspectives, and backgrounds of every employee.
The Statistical Analyst position described here is part of the Pearson Psychometric and Research Services group, which is part of the US School Assessment group and larger Assessment and Qualifications team. Pearson research scientists provide the full range of psychometric support to state and national customers, develop innovative techniques and processes, and conduct cutting-edge research studies.
Pearson Statistical Analysts provide data analysis support to Psychometricians to deliver large-scale custom assessment programs. Our Statistical Analysts are strong problem solvers who can leverage and extend existing analysis procedures to perform analysis tasks, are well-organized, and display the ability to collaborate. We are looking for candidates with strong technical and data analysis skills who are able to handle ambiguity and are looking for a challenge.
General Duties and Responsibilities
Takes direction from Ph.D. level research staff
Conducts analyses using exploratory techniques such as data mining, data summarization, and statistics.
Authors analysis tools according to specifications.
Executes software development discipline.
Work with a variety of data structures and with files that are moderately complex.
Evaluates the suitability of data for specific analysis purposes.
Evaluates outcomes from analyses to determine the accuracy, quality, and usability of those outcomes for the purposes for which they were conducted.
Prepares, formats, and manages data for use by internal groups.
Work directly with subject matter experts and technology staff to fulfil contract deliverables.
Meets schedules while working independently, sometimes in high-pressure situations.
Travels to fulfil some tasks. Travel is expected to be 5% to 10%,and is typically scheduled in advance.
What our employees have in common, regardless of collegiate background or training, are: strong quantitative skills, strong problem-solving skills, and strong communication/collaboration skills that can be applied to routinely ambiguous situations that involve large amounts of data. The education, experience, and responsibilities associated with this position include:
Education and Work Experience
Bachelors degree & at least one year of work experience in a data processing environment
OR three years of work experience in a relevant data processing environment
OR masters degree in statistics or related quantitative field
Familiarity with Psychometric Principles and Theory
Applies basic psychometric techniques in a job setting, including classical test theory, item response theory, test equating, scaling, linking, and standard setting
Evaluates the reasonableness of analysis outcomes
Familiarity with Data Structures and Office Software
Preferred candidates have demonstrated experience with statistical analysis platforms such as SAS or R;
OR demonstrated experience with software languages such as C#, Python or Java
Demonstrates experience in using office software such as Word and Excel
Demonstrates experience working with a variety of data files and folder organizations
Experience with Software Development Principles
Demonstrates evidence of software development discipline
Communication Skills
Possesses strong communication skills, (oral, written, and business). Our employees must have the ability to independently collect specifications and document the solutions they will implement.
Coordination and Task Management Skills
Has basic experience taking an active role in making sure all groups have the necessary psychometric information
Has basic experience implementing data handoffs and processing schedules with some oversight
Has basic experience following coordination processes developed by psychometric team
This position is not considered a specialty occupation, and therefore does not qualify for H1B or Green Card sponsorship.
Compensation at Pearson is influenced by a wide array of factors including but not limited to skill set, level of experience, and specific location. As required by the Colorado and New York City laws, the pay range for this position is as follows:
Minimum full-time salary range is between $55,000-63,000.
This position is eligible to participate in an annual incentive program, and information on benefits offered is here here.
Learning is the most powerful force for change in the world. More than 20,000 Pearson employees deliver our products and services in nearly 200 countries, all working towards a common purpose – to help everyone achieve their potential through learning. We do that by providing high quality, digital content and learning experiences, as well as assessments and qualifications that help people build their skills and grow with the world around them. We are the world’s leading learning company. Learn more at pearsonplc.com.
Pearson believes that wherever learning flourishes, so do people. We are committed to being an anti-racist company in everything we do. We value the power of an inclusive culture and a strong sense of belonging. We promote a culture where differences are embraced, opportunities are accessible, consideration and respect are the norm, and all individuals are supported in reaching their full potential. Through our talent, we believe that diversity, equity, and inclusion make us a more innovative and vibrant place to work. People are at the center, and we are committed to a sustainable environment and workplace where talent can learn, grow, and thrive.
To learn more about Pearson’s commitment to a diverse and inclusive workforce, please click here:  http://www.pearson.com/careers/diversity-and-inclusion.html
Pearson is an Affirmative Action and Equal Opportunity Employer and a member of E-Verify. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our work will be. All employment is decided based on qualifications, merit, and business need. All qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, sexual orientation, gender identity, gender expression, age, national origin, protected veteran status, disability status, or any other group protected by law.
Job: PROFESSIONAL DEVELOPMENT
Organization: Assessment & Qualifications
Schedule: FULL_TIME
Req ID: 9183
#LI-REMOTE


Data Scientist

Synergy Sports, A Division of Sportradar, is looking for a talented Data Scientist to join our software team.

Synergy Sports delivers on-demand analytics and associated video to nearly 1500 basketball, baseball, and hockey teams from pro, international, and college leagues. Our systems are highly complex and contain petabytes of data and video requiring extremely capable individuals to maintain the scale and efficiency of its products.

Synergy Sports’ data science team will contribute to the ongoing development of the company’s revolutionary sports data and video delivery solutions, building applications such as:

Sports Workflow Applications
Sports Analytics Systems

Synergy Sports is a globally distributed company, with employees working from home offices. The role must be comfortable working in a virtual office using online collaboration tools, with all communication and interaction in English. We work on an asynchronous model with flexibility of when and where you want to perform your job, while still being able to attend team calls and regular meetings. Personal initiative and a strong work ethic are highly encouraged and rewarded.
The company provides a very transparent freedom and responsibilities culture to all our teams. We strongly believe striking the balance between work and family is very important and our culture is focused on the well-being of our team.

Requirements

5+ years of experience in data science or data engineering related role
Demonstrated, creative problem-solving using data analysis
Applied experience with regression analysis and other statistical modeling techniques
Strong proficiency in Python
Fundamental understanding of Machine learning concepts (e.g. cross-validation, statistical basis for ML algorithms, etc..)

Bonus Superpowers:

Experience scaling and operationalizing data science models in production settings
Experience working with MongoDB, MySQL, or other relational/noSQL databases
Software engineering background
Sport-specific analytics experience
Previous experience leading a team

Benefits

Big problems, massive impact. We’re working on big scalability challenges and our flat structure means individuals have an incredible amount of impact on everything they touch.
Join our team of best-in-class engineers to disrupt the sports industry and learn, share and grow with great peers on a daily basis.
A culture geared towards innovation and experimentation. From Deep learning and Computer vision to Kubernetes and the latest cloud technologies.
Competitive salary based on your experience.

Pay Range: $106,000 - $171,000Sportradar intends to offer the selected candidate base pay within this range, dependent on job-related, non-discriminatory factors including but not limited to experience, qualifications, and location. Base pay is just one component of the Total Rewards that Sportradar provides to compensate and recognize employees for their work. Sportradar offers best-in-class benefits such as a comprehensive benefits package, performance bonus program, equity stock purchase and 401k contribution. Please consult with your recruiter to learn more as all benefits are subject to eligibility requirements.


Data Scientist

About us
Elementus is a data-first pioneer focused on solving the biggest challenges in crypto. Backed by the most comprehensive data set in the market and patented algorithms built to trace the flow of funds, we’re able to provide powerful visualization of on-chain activities and insightful analytics so our customers can unlock both the power and promise of blockchain.
Whether starting out with compliance, looking to assess bad actor risk, or interested in valuable insights on which to build out a web3 strategy, our platform provides customers with a 360-degree view of data and the deep attribution capabilities needed to start and scale their business on the blockchain with confidence.
We are looking for an ambitious and self-motivated Data Scientist who shares our passion for blockchain data and the endless opportunities this data presents.

The Role
We are looking for gritty, technical Swiss Army Knives who are enthusiastic about quickly translating customer needs into elegant, stable, and performant software solutions. You should be comfortable interacting with the stack at every level, excited to move fast and exercise a bias towards experimentation and operate in a fast-paced, often opaque environment. Your job is to figure out what needs to get done and do it.
Can you balance trade-offs between the speed of delivery and perfection?
Is your code production-ready and a stable foundation for continuous iteration?
Do you love working in new verticals, rolling your sleeves up, and solving fantastically hard data problems – often ones that have never been solved before?
If so - we want you on the team!

Core Responsibilities
Proactively identify opportunities where data can enhance our understanding of Blockchain. Support the core of our data science process
Collaborate with the engineering and business team to coordinate timely product delivery cycles
Build and maintain the operational toolbox for the data science team
Build, improve, and maintain the blockchain entities’ attribution knowledge base

Requirements
Comfortable working with SQL/No-SQL databases and eager to learn graph databases
Advanced skills in at least one programming language such as Java, Python/Pandas, JavaScript/Node
Solid understanding of blockchain technology
Ability to read white papers, replicate and improve results
Curiosity in creating proprietary graph algorithms as well as applying graph data science to blockchain data
Degree in a technical or quantitative discipline, such as statistics, mathematics, physics, electrical engineering, or computer science (all levels welcome, from bachelor’s to doctorate)
You should be comfortable venturing into new and unknown directions while maintaining clarity of purpose. The problems we work on rarely have clean, definitive answers.

Stand Apart By Demonstrating
Curiosity about blockchain and technology in general
Proactivity in identifying problems and asking the right questions
Resourcefulness in finding data sources and gathering data
Versatility in attacking problems with different tools and from various angles

Compensation
The base salary pay range for this position in New York City is $130K-$160K annually; however, base salary pay offered may vary depending on job-related knowledge, skills, and experience. A sign-on bonus and Restricted stock units may be provided as part of the total compensation package, in addition to a full range of medical, financial, or other benefits, dependent on the position offered. This information is provided per the New York City Human Rights Law. Base pay information is based on market location. Applicants should apply via Elementus internal or external careers site.

Perks
Medical, Dental & Vision Insurance Coverage
Life Insurance
Unlimited PTO
Paternal Leave
Flexible Work Schedule
9 Paid Holidays
WFH Stipend to support your home office needs

EEO Statement
Elementus is an equal opportunity employer and we’re proud of our ongoing efforts to foster diversity equity & inclusion in the workplace. Individuals seeking employment and employees at Elementus are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, disability, military or veteran status, or any other characteristics protected by applicable law.Elementus aims to provide reasonable accommodations for applications with disabilities and disabled veterans pursuant to applicable federal and state law. If you are an individual with a disability and require a reasonable accommodation to submit this application, complete any pre-employment testing, or otherwise participate in the employee selection process, please send an email to careers@elementus.io with your specific accommodation request.
By submitting your application, you agree that Elementus may collect your personal data.


Enterprise Data Scientist

Job Summary
Working as a collaborative member of our team, you will use data science and machine learning techniques to help drive deep data analysis and uncover insights that will enable the business to make strong and strategic decisions. You will work with data engineers, data analysts, business experts, and external vendors to initiate our machine learning journey at Core & Main. Working cross-functionally to answer complex questions with data increasing efficiencies and improving customer experience. This role requires effective communication skills, relationship building and a focus on the overall business.Bring CREATIVE energy to the team. This person should enjoy working independently and turn failure into opportunity for improvement. Associate should be comfortable and confident in independent work and in risk taking. Based on our evolution this role will be provided the opportunity to grow as an expert in more than one data science specializations, such as optimization, computer vision, recommendation, search or NLP.
Major Tasks, Responsibilities and Key Accountabilities
Extract data from various databases; performs exploratory data analysis, cleanses, massages, and aggregates dataEmploy scaling & automation to data preparation techniquesDetermine analytics approach to solve business problems; incorporate advanced analytical methodologies including machine learning algorithms where appropriateFormulate some business problems into ML problems, owning the complete end-to-end ML/AI workflow and training ML modelsHelp identify value-driven opportunities to implement and embed ML/AI models in analytics workloads, data services and enterprise applicationsDesign and develop algorithms and models to use against large datasets to create business insightsTransform model outputs into formats that are digestible to the end users through visualization, clear tables, and/or thoughtful presentations. Assist technical and non-technical end users in how to leverage and interpret the analysis.Ensure that developed codes are documented into a library of reusable algorithms.
Preferred Qualifications
Self-starter, attention to details and results orientated, able to work under minimal guidance.Proficient in communicating effectively with both technical and nontechnical stakeholders.Proficient utilizing statistical techniques to identify key insights that help solve business problemsAbility to apply knowledge of multidisciplinary business principles and practices to achieve successful outcomes in cross-functional projects and activitiesAdvanced competency and expertise in Python, R or other similar platformsStrong SQL, database and ETL skills including cleaning and managing data.Minimum of 3+ years in data science.Ability to educate others on statistical / machine learning methodsStrong background working with predictive and statistical modeling, machine learning and strong expertise in all phases of the modeling pipelineExperience building complex data sets from multiple data sources, both internally and externally.Education: BS+ with concentration in quantitative discipline - Stats, Math, Comp Sci, Engineering, Econ, Quantitative Social Science, or similar discipline.
#LI-Remote
About Core & Main
Based in St. Louis, Core & Main is a leading distributor of water, sewer, storm drain and fire protection products in the United States. Operating approximately 275 branches nationwide, the company combines local expertise with a national supply chain to provide contractors and municipalities innovative solutions for new construction and aging infrastructure. Core & Main’s 3,500 plus associates are committed to the safe distribution of water and fire protection to help communities thrive. Visit www.coreandmain.com to learn more.
Core & Main is an Equal Employment Opportunity employer. Employment at Core & Main is based solely on a person’s merit and qualifications directly related to professional competence.  Core & Main does not discriminate against any employee or applicant on the basis of race, creed, color, religion, national origin, nationality, ancestry, age, disability, veteran status, pregnancy or related condition (including breastfeeding), affectional or sexual orientation, gender identity or expression, marital status, status with regard to public assistance, citizenship, or any other basis protected by law.
None of the questions in this application are intended to elicit information regarding any protected characteristics, nor imply any limitation, illegal preferences or discrimination based upon non-job-related information or protected characteristics.
For more information, please click here or visit https://www.eeoc.gov


Senior Data Scientist Ads Sales

[As of June 2020, Quora has become a "remote-first" company. This position can be performed remotely from multiple countries around the world. Please visit quora.com/eligible_countries for details regarding employment eligibility by country.]
About Quora:
The vast majority of human knowledge is still not on the internet. Most of it is trapped in the form of experience in people's heads, or buried in books and papers that only experts can access. More than a billion people use the internet, yet only a tiny fraction contribute their knowledge to it. We want to democratize access to knowledge of all kinds — from politics to painting, cooking to coding, etymology to experiences — so if someone out there knows something, anyone else can learn it. Our mission is to share and grow the world's knowledge, and we're building a world-class team to help us achieve this mission.
About the Team:
Unsurprisingly, then, the Data Team is highly empowered at Quora, helping navigate complexity and influencing product and company strategy directly. Quora's outsized commitment to data is visible in everything we do, from our rigor-driven experimentation processes to the backgrounds of our leaders (including many Product Managers and the Head of Product being former full-time data scientists). With this emphasis on data and empirics, we aim to balance rigor and pragmatism, searching for scrappy solutions in pursuit of our mission. In joining Quora's strong data team, you'll both benefit from and work to advance our culture of rational decision making.
About the Role:
As a data scientist in ads, you'll work closely with sales leadership, product managers, and engineers to devise appropriate measurements and metrics, build visualizations, design randomized controlled experiments, and tackle hard, open-ended problems that uncover usage patterns and opportunities for the company. In this role, you will deliver data-driven insights to guide our business strategy and extract untapped value in our platform by developing a deep understanding of our advertisers and users. Quora has a wide range of rich data, giving you ample room for exploration and creativity. For more about our work, see Quora's Data blog at https://quoradata.quora.com/.
Responsibilities:

Extract actionable insights from broad, open-ended questions to influence sales and product strategy and drive roadmap decisions
Analyze data to understand the root causes of metric movements and uncover growth opportunities
Design and evaluate A/B tests to make informed recommendations on product changes
Develop metrics and create dashboards to orient the direction of business development and track the success of the business
Communicate insights and recommendations to key partners
Improve the work of other data scientists through mentorship, tool development, and by bringing good industry practices to the team

Minimum Qualifications:

Ability to be available for meetings and impromptu communication during Quora's "coordination hours" (Mon-Fri: 9am-3pm Pacific Time).  Learn why here
B.S., M.S., or Ph.D. in a quantitative field
4+ years work experience in sales analytics, product analytics, or data science at a consumer tech company (e.g. open-ended analyses, metric development, A/B testing)
Proficiency in using SQL and procedural programming languages (e.g. Python, R) to manipulate and analyze data
Familiarity with theoretical foundations of statistical techniques (e.g. hypothesis testing, regression)
Demonstrated ability to exercise judgment and combine quantitative skills with intuition to translate numbers into insights
Demonstrated ability to clearly explain data results to cross-functional teams

Preferred Qualifications:

Experience evangelizing best practices and process improvements on your team
Experience working with large data sets and distributed computing tools (e.g. Presto, Redshift)
Experience pushing code and navigating a complex codebase
Active Quora user with curiosity about the product

Additional Information:
For Colorado based applicants, the minimum salary range is $129,000 - $171,000 + equity + benefits. For New Jersey and New York based applicants, the minimum salary range is $152,000 - $201,000 + equity + benefits. There are many factors that will determine the starting pay, including but not limited to experience, location, education, and business needs.
Quora offers a wide range of benefits including medical/dental/vision coverage, equity refreshers, remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are country-specific and may vary.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
California Consumer Privacy Act (CCPA) disclosure
#LI-DNI


Data Scientist Ii Analytics

Credit Sesame is the only platform that helps consumers achieve financial wellness by allowing them to manage and grow their credit and cash in one place, for free.  We have created a whole new market category in financial services that sits at the intersection of a credit market place and credit builder digital banking services.  Our purpose is clear, to make financial inclusion and wellness a reality for everyone.

We’re looking for a Data Scientist who can help support product development. If you’re curious, have the grit to solve tough analytical problems, and want to be part of a team that helps create innovative products so millions can improve their financial wellness, then this opportunity is for you.

You'll...

Utilize machine learning and data analytics to develop anticipatory customer behavior profiles and patterns, as well as growth forecasting and predictive analytics approaches to achieve Credit Sesame’s strategic planning and management objectives.
Conduct quantitative research and analysis of data to arrive at actionable insights and recommendations.
Perform data analysis, data mining, data optimization, predictive modeling, and related machine learning tasks to develop and recommend novel solutions to complex business problems.
Utilize statistics, econometrics, and data science with advanced programming tools (Python, R) to perform data manipulation, data extractions, and interpret complex data.
Analyze, translate, and distill large data sets and patterns to support leadership decision-making and the development of responsive, project-specific management plans.
Utilize technologies and languages such as SQL, R, Python, as well as machine learning techniques and tools (K-means, Naïve Bayes, SVM), and data visualization tools (Tableau, Looker, Charito).
Collaborate with product managers, business developers, engineers, and marketers to translate data insights into actions and solve complex problems.
Produce accurate and efficient SQL queries to perform analyses, what-if scenarios, and evaluate software and application changes.
Partner with Business Development and Product teams to identify areas of optimization for various partners, verticals, and features, and implement improvements based on user segmentation and user behavior.
Ensure internal and external information usability through the application of data analysis and data quality management principles in cross-functional settings.
Interact with data source owners and contribute to the development and implementation of project plans and initiatives.
Leverage statistical/econometric analysis to help build specialized reports for revenue, business development, and related efforts.

You're a great fit for our team because...

Master’s degree, or equivalent, in Information Science, Data Science, or a related field
you have plus two (2) years of data science, business analytics, or related experience
you have plus two (2) years of automating ETL (Extract, Transform, Load) process by utilizing advanced programming languages;
you have plus two (2) years of building and evaluating machine learning models to predict customer behaviors and segment customer profiles;
you have plus two (2) years of simplifying and optimizing analytical practices by providing actionable solutions;
you have plus two (2) years of identifying key drivers of customer experience in both product levels and operational levels;
you have plus two (2) years of employing advanced data mining, statistical modeling, and experimental design methodologies to detect data patterns and solve specific business problems;
you have plus two (2) years of developing end-to-end self-service dashboards;
you have plus two (2) years of generating and maintaining real-time operation monitoring/reporting systems;
and you have plus two (2) years of utilizing technologies and languages such as SparkSQL, R, Python, Java, Elasticsearch, Cassandra, K-means, Naïve Bayes, DBScan, LDA, Hive, Tableau, and Random Forest.
Telecommuting Permissible.

You'll love it here because...

you‘ll have huge potential to grow with a company that’s a category leader;
you’ll have equity in a pre-IPO company backed by top VCs;
we offer comprehensive medical, dental, and vision insurance;
we offer monthly phone and internet reimbursement;
we prize EQ and empathy, and have a culture that emphasizes total wellness, including work-life harmony.

#LI-DNI

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace.


Data Scientist I Risk Analytics

Hi, we're Oscar. We’re hiring a Data Scientist I, Risk Analytics to join our team.
Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family.
About the role
Create strong partnerships with internal teams at Oscar to build out and leverage key data science insights that directly impact our members
Discover, understand, and organize disparate data sources and structure them into clean data models that unlock self-service analytics for internal teams
Work with stakeholders to evaluate existing programs and drive improvements through data-driven methods, as well as support the development of data-driven hypotheses
Use statistics to explain and predict key aspects of our business
You will report into an Associate Director of Data Science. This is a remote / work-from-home role. You must reside in one of the following states: Arizona, California, Colorado, Connecticut, Florida, Georgia, Illinois, Iowa, Maryland, Massachusetts, Michigan, New Hampshire, New Jersey, New Mexico, New York, North Carolina, Ohio, Oregon, Pennsylvania, Rhode Island, Tennessee, Texas, Utah, Virginia, Washington, or Washington, D.C. Note, this list of states is subject to change. #LI-Remote
The base pay for this role is: $115,360-$151,410 per year. You are also eligible for employee benefits, company equity grants and annual performance bonuses.
Requirements
You have a Bachelor's degree and 2+ years of relevant work experience OR a Master’s degree in a quantitative field
You use data science tools like SQL and Python
You’re excited about being (or becoming) a decision-maker, not just an analyst
You know when to look outside the data to solve problems
Bonus Points
Knowledge of or previous work experience in health care, health economics, or health insurance
This is an authentic Oscar Health job opportunity. Learn more about how you can safeguard yourself from recruitment fraud here.
At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives..
Pay Transparency:
Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience.
Full-time employees are eligible for benefits including: medical, dental, and vision benefits, paid holidays, paid vacation and sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements.
Reasonable Accommodation:
Oscar applicants are considered solely based on their qualifications, without regard to applicant’s disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team (accommodations@hioscar.com) to make the need for an accommodation known.
To protect the health and safety of our employees, we require any employee conducting in-person work* to be fully vaccinated against COVID-19 by their start date. If you are unable to be vaccinated due to medical or protected religious reasons, please reach out to our Benefits team at accommodations@hioscar.com to submit an accommodations request.
*Note: In-person work includes: employees required to work from our offices, employees conducting sales work in the field and employees conducting at-home or in-person visits with members.


Data Scientist Special Initiatives

About the Position:At Ledger Investing, we are building a market for a new class of financial assets that will have transformative impacts on casualty insurance, reinsurance, and institutional investors alike. These financial assets are fairly complex and involve expertise across multiple domains.
This posting is for a unique position within the Ledger organization. You will be a member of the Data Science team, as such, you will have regular opportunities to interact with other data scientists and contribute to analytical work at the company. However, the majority of your time will be spent working directly with the company’s CEO and Chief Data Scientist on special projects.
Many of the special projects will focus on demystifying what we do for the sake of both insurers and investors. We are particularly interested in building software tools that help clearly explain the nature of insurance risk, insurance market dynamics, the financial structure of insurance-linked securities, and other such topics. These tools will educate and empower the insurance and investing communities to better understand these novel assets.
About You:
Successful candidates will have all of the following attributes:

Strong skills in Python programming, including familiarity with the NumPy and SciPy libraries.
Demonstrated skills in translating high-level concepts and ideas into concrete, precise, and technically rigorous implementations.
Solid grasp of the principles of data visualization and ability to generate rich and insightful plots of quantitative data.
Experience with quantitative finance, including financial modeling.
Ability to communicate complex technical ideas to non-technical audiences.
Strong attention to detail and ability to work independently.

The following attributes will help candidates stand out from the crowd:

A graduate degree in finance, statistics, operations research, or another applied quantitative field.
Knowledge of the property & casualty insurance industry.
Familiarity with version control, especially Git/GitHub.
Experience with simulation-based modeling and/or operations research.

Your Benefits:

Competitive salary, bonus potential, and equity compensation
Work from anywhere. We’re flexible. Our headquarters is in New York, but this position can be fully remote or hybrid.
Uncapped paid time off
Paid Holidays
401k
Medical, dental, and vision insurance - multiple plans to choose from
Company paid Life and AD&D insurance
ClassPass  - We contribute to your monthly membership offering a large range of providers & services in Fitness and Wellness. Get a massage on us!
Up to $5,000 paid by Ledger towards your dream desk setup! Customize what works for you.


Principal Data Scientist

As a Principal Data Scientist with the Advanced Analytics and Evaluation team, you will be the point person in providing innovative advanced analytic and data science support for projects across California. You will serve as the principal data scientist on a wide variety of data science projects across the state. In this capacity, you will serve as the lead advisor on exploratory, statistical, and predictive analytics to inform data-driven decisions.
You will lead the evaluation of the best approach for projects from an ethical lens, as well as statistical lens. You will help spread the adoption of ethical best practices by advising data teams across the state on responsible, effective, and ethical data science practices.
You will collaborate with the team’s data engineers and data analysts on projects and be the lead on identifying workflow improvements for the team’s data science practice. Years of experience is the primary distinguisher between our principal data scientist (5+ years) and senior data scientist (3+ years).
CalData works across all departments in the state, with data that reaches all Californians. You will find the problems and challenges we engage with need the heart as much as the mind.
About you: You are an experienced data scientist who wants to create impact at scale. The following bullets points describe you:
You are a responsible, thoughtful, and rigorous user of advanced statistical techniquesYou know from experience that modeling is one of many steps to drive data driven decisions makingYou want to bring the right approach to solve the client’s problemYou avoid needless statistical complexityYou are eager to consult, brainstorm, and advise other data teamsYou enjoy abstracting your approaches and helping to build capacity across multiple teamsYou enjoy the process of communicating and collaborating with both technical clients and non-technical clients to truly understand a problem and its dataYou have an eye for sustainability and take great joy in improving data science practices at scaleYou understand the concepts of institutional and structural racism and bias and their impact on data and analytics.
Location: ODI staff reside throughout California. The employee’s workstation is located in Sacramento, CA. Travel to the Sacramento headquarters may be required as needed. This position provides telework opportunities in accordance with agency telework policies. (Must currently reside in California)
Annual Salary: $147,540 to $164,328 based on experience
Benefits: The state offers many benefits
Last day to apply: Open until filled. First application review begins Wednesday, December 7, 2022
What you’ll do
Serve as the principal data scientist for advanced analytics and data science projects from across the stateServe as the data science methodology expert for the stateDefine best practices in advanced analytics and data science and help grow these practices within ODI and across the stateParticipate in project solicitation, vetting, and scoping processes to identify client projects across the state
Apply now
About ODI
We deliver better services to Californians through technology and design. We do so through close partnership with other state departments. Our goal is to create programs and products that are more equitable and effective. We listen to Californians who use a program now or may do so tomorrow and learn about what they need.
We:
Build tools and productsCreate and enhance digital servicesConduct researchIdentify data solutionsOffer training
We are a cross-discipline staff with blended backgrounds in:
DesignEngineeringProductOperationsDataResearchPolicyStrategy
Learn more about ODI’s vision and mission.
About CalData division
CalData uses data to deliver better decisions, services, and outcomes for Californians.
As the central data team for the state, we empower people to use data. We build infrastructure, develop processes, and train people to better manage and use data. We want the state’s data use to be:
EfficientEffectiveSecureResponsible
To help state departments use data well, we created California’s Data Strategy. We use a road analogy to illustrate the strategy. We must:
Build data roadsCraft rules of the roadBoost the drivers
Read the full strategy in Google Doc or PDF.
More details about CalData, our positions, and how we work are available in our Gitbook.
Diversity, equity, and inclusion at ODI
Diversity, equity, and inclusion help us deliver better government services to Californians.
Fostering diversity inspires better ideas and more innovative thinking.Feeling included nurtures a shared sense of community. This drives us to take collective action on challenging problems.Prioritizing equity ensures we build solutions for people whose needs are often overlooked.
We acknowledge our history and present of implicit and structural injustice, bias, and discrimination. We see, hear, and accept each other and the lived experiences we bring to our work. We support each other in learning and developing so we can help all Californians thrive.
We understand this work is never done. That’s why we commit to constant improvement.