Sr Innovation Data Scientist

The world isn’t standing still, and neither is Allstate. We’re moving quickly, looking across our businesses and brands and taking bold steps to better serve customers’ evolving needs. That’s why now is an exciting time to join our team. You’ll have opportunities to take risks, challenge the status quo and shape the future for the greater good.
You’ll do all this in an environment of excellence and the highest ethical standards – a place where values such as integrity, inclusive diversity and accountability are paramount. We empower every employee to lead, drive change and give back where they work and live. Our people are our greatest strength, and we work as one team in service of our customers and communities.
Everything we do at Allstate is driven by a shared purpose: to protect people from life’s uncertainties so they can realize their hopes and dreams. For more than 89 years we’ve thrived by staying a step ahead of whatever’s coming next – to give customers peace of mind no matter what changes they face. We acted with conviction to advocate for seat belts, air bags and graduated driving laws. We help give survivors of domestic violence a voice through financial empowerment. We’ve been an industry leader in pricing sophistication, telematics, digital photo claims and, more recently, device and identity protection.
We are the Good Hands. We don’t follow the trends. We set them.
Job Summary:
Allstate Innovation helps drive Allstate’s future by identifying compelling business opportunities, developing selected opportunities into thriving businesses, and assisting Allstate businesses with meeting their innovation goals. We bring together skills in strategy, design, technology, and data science to create new products and businesses, focusing on emerging technologies, fast-growing startup market spaces, and highly impactful consumer problems.  Examples of Allstate’s innovation successes in recent years include:
Exploration of AI risk assessment technologies that resulted in a new B2B big data venture, Arity – a startup with the backing of a Fortune 100 company
Exploration of emerging device (e.g. smart phone) protection space that resulted in $1.4B acquisition of SquareTrade Inc.
Exploration of digital protection space that resulted in $525M acquisition of identity protection company InfoArmor Inc.
Exploration of peer-to-peer space that resulted in a new P2P car sharing venture, Avail – a startup with the backing of a Fortune 100 company
Exploration of the future of consumer data and analytics that resulted in a series A investment in a leading Web3 startup, Inrupt, followed by joint development efforts
Job Summary (cont.)
Innovation projects typically feature cross-functional teams with expertise in Business Strategy, Product, Technology, and Design.  We work in a variety of different spaces, industries, and emerging technology areas.  Example areas of exploration include: AI/ML (incl. generative AI), future of automotive (EVs, autonomous vehicles), climate risks, and Web3 (de-centralized consumer data).
This role will join an Innovation team that is developing algorithms and models for a new generation of insurance products.  As a Senior Data Scientist, you will work on models from pricing to underwriting, utilizing geospatial, actuarial, statistical, and machine learning methodologies. You will collaborate closely with multiple organizations across Allstate Enterprise to support key business goals.
Remote work opportunities are available.  Sponsorship for CAS and CSPA exams is available for any candidates with an actuarial background.
Key Responsibilities:
Identify, understand and solve product/pricing problems by performing analysis that involves retrieving and analyzing both internal and external data.
Assist with analysis and implementation of changes to existing geospatial-based insurance products as well as the development of new class of personal risk products.
Perform collaborative product reviews that require analysis of trends, factors, issues, and emerging products/companies/technologies
Ability to drive for results, share and communicate findings, deal with ambiguity, wrangle data, solve problems, and draw conclusions in a less-structured innovation environment.
Ability to derive insights from small and large data sets, while communicating the limitations of the analysis.
Key Responsibilities (cont.)
Use best practices in statistical/modeling techniques to develop and maintain rating, economic, and other models as necessary and in consideration of business goals.
Provide tools, educate and support cross functional teams in the implementation of models and other decision-making support.
Support the development/ design of new plans, programs, processes, products up to moderate complexity, with minimal direction
Assist in the development of communication strategies and materials to support new plans, programs, processes, products; solicit input from stakeholders.
Relevant Experience
Bachelor’s degree required – preferably in related field of study such as actuarial science, math/applied math, statistics/applied statistics, economics, environmental science, or computer science.
Past experience with geospatial, satellite, weather, and other non-traditional to insurance datasets.
Understands economics of insurance; several years of experience with personal lines ratemaking and rating plans.
Working knowledge of insurance regulation and related business constraints.
Experience in using statistical and machine learning modeling techniques such as linear regression, logistic regression, GLM, GAM, GBM, etc.
Experience in the use of data sources and applications to conduct research.
Master’s or PhD in a quantitative field — math/applied math, statistics/applied statistics, economics, environmental science, or computer science.
Relevant Experience (cont.)
Strong technical knowledge, aptitude to learn, and curiosity.
Strong programming experience with Python preferred – R, SAS, Matlab or other scientific programming languages can be discussed
Working knowledge of using databases and SQL, Spark is a plus
Strong written and verbal communication skills including the ability to effectively collaborate with multi-disciplinary groups and all organizational levels.
High level organizational, decision making, and project management skills in order to handle multiple concurrent assignments.
Notes:
The preceding description is not designed to be a complete list of all duties and responsibilities. May be required to perform other related duties as assigned. Regular, predictable attendance is an essential function of this job.
Compensation offered for this role is $102,300.00-$140,025.00 per year and is based on experience and qualifications.
The candidate(s) offered this position will be required to submit to a background investigation, which includes a drug screen.
Good Work. Good Life. Good Hands®.
As a Fortune 100 company and industry leader, we provide a competitive salary – but that’s just the beginning. Our Total Rewards package also offers benefits like tuition assistance, medical and dental insurance, as well as a robust pension and 401(k). Plus, you’ll have access to a wide variety of programs to help you balance your work and personal life — including a generous paid time off policy. For a full description of Allstate’s benefits, visit allstate.jobs/benefits/
Learn more about life at Allstate. Connect with us on Twitter, Facebook, Instagram and LinkedIn or watch a video.
Allstate generally does not sponsor individuals for employment-based visas for this position.
Effective July 1, 2014, under Indiana House Enrolled Act (HEA) 1242, it is against public policy of the State of Indiana and a discriminatory practice for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a member of a reserve component.
For jobs in San Francisco, please click “here” for information regarding the San Francisco Fair Chance Ordinance.For jobs in Los Angeles, please click “here” for information regarding the Los Angeles Fair Chance Initiative for Hiring Ordinance.
To view the “EEO is the Law” poster click “here”. This poster provides information concerning the laws and procedures for filing complaints of violations of the laws with the Office of Federal Contract Compliance Programs
To view the FMLA poster, click “here”. This poster summarizing the major provisions of the Family and Medical Leave Act (FMLA) and telling employees how to file a complaint.
It is the Company’s policy to employ the best qualified individuals available for all jobs. Therefore, any discriminatory action taken on account of an employee’s ancestry, age, color, disability, genetic information, gender, gender identity, gender expression, sexual and reproductive health decision, marital status, medical condition, military or veteran status, national origin, race (include traits historically associated with race, including, but not limited to, hair texture and protective hairstyles), religion (including religious dress), sex, or sexual orientation that adversely affects an employee’s terms or conditions of employment is prohibited. This policy applies to all aspects of the employment relationship, including, but not limited to, hiring, training, salary administration, promotion, job assignment, benefits, discipline, and separation of employment.


Data Scientist

POSITION OVERVIEW
We are looking for a passionate, curious and creative problem solver to be a Product Data Scientist, reporting to the Head of Data. Your role will be focused on democratizing product insights and using data to drive product strategy. If you're passionate about making a meaningful difference in people's lives in partnership with an agile, driven, and fun-loving team, we're excited to meet you.
RESPONSIBILITIES

Analyze user behavior and product usage to proactively identify opportunities for product improvements.
Design experiments to assess hypotheses.
Build dashboards to communicate data insights.
Partner with Product Managers to define product KPIs & priorities.
Deliver analysis in a format that can help drive business decisions by both executive leadership and partnering Product Managers
Continuously improve tracking and reporting processes to ensure high data accuracy & robust product understanding.
Build machine learning models to determine the drivers of member behavior, and predict future behaviors.

REQUIREMENTS

At least 3 years of experience in a related role.
Extensive hands-on experience with SQL and data visualization.
Able to develop quantitative analysis, ad-hoc reports, and models to derive meaning from raw data in order to influence product decisions and direction.
Strong communications skills and ability to present work to executive staff.
Self-starter with ownership attitude with an enthusiasm to work in a fast-paced, start-up environment.
Understand statistical principles (eg. statistical significance, sample size).

"The US base salary range for this full-time position is $120,000 - $145,000.
Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects a national minimum and maximum range for new hire salaries for this position. Within this range, individual pay is determined by work location and additional factors, such as job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range that meets your criteria during the hiring process.
Please note that the compensation range listed in this posting reflects only the base salary for this position and does not include other compensation elements or benefits.”


Data Scientist

The Analytics Team is responsible for building and maintaining analytics tools and workflows to support the PrizePicks business across all departments - at the core of these operations is data and the insights driven from that data. PrizePicks is looking for a Data Scientist with 2+ years of experience to join our Data Science team. You will be working closely with other data scientists, reporting analysts, and cross departmental directors to test business flows, make business recommendations, and provide novel business insights to leadership focused on driving revenue growth, optimizing marketing efficiency and optimizing retention efforts.
What you’ll do:

Data cleaning operations, wrangling and visualizations.
Develop custom data models and algorithms to apply to data sets.
Selecting features, building and optimizing classifiers using machine learning techniques.
Develop processes and tools to monitor and analyze model performance and data accuracy.

What you have:

Advanced knowledge of machine learning, data analysis and statistical modeling.
Proficiency in statistics and statistical software applications, such as Python or R.
Experience working with relational databases such as PostgreSQL.
Data visualization and report building experience is a plus.
Exceptional analytical and problem solving skills.

Where you’ll live:

Anywhere in the US is fine but Atlanta would be preferred.

Benefits you’ll receive:
In addition to your great compensation package, company subsidized medical/dental/vision coverage plans and matching 401(k), we’ll shower you with perks including:

Break room with ping pong, endless snacks and in-office lunch once a week
Unlimited PTO to encourage a healthy work/life balance (2 week min required!)
Modern work schedule focused on getting the job done, not hours clocked
Workplace flexibility
Company and team outings, we encourage a tight-knit workplace
Generous Maternity AND Paternity leave (16 weeks!)
Annual bonus & stock options
Wellness program
Company equipment provided (Windows & Mac options)
Annual performance reviews with opportunity for growth and career development

#LI- DNI


Staff Data Scientist Cashapp Compliance Engineering Technology

Company Description
It all started with an idea at Block in 2013. Initially built to take the pain out of peer-to-peer payments, Cash App has gone from a simple product with a single purpose to a dynamic ecosystem, developing unique financial products, including Afterpay, to provide a better way to send, spend, invest, borrow and save to our 47 million monthly active customers. We want to redefine the world’s relationship with money to make it more relatable, instantly available, and universally accessible. This is our mission, and it’s why working at Cash App means so much more than a job.
Today, Cash App has thousands of employees working globally across office and remote locations, with a culture geared toward innovation, collaboration and impact. We’ve been a distributed team since day one, and many of our roles can be done remotely from the countries where Cash App operates. No matter the location, we tailor our experience to ensure our employees are creative, productive, and happy.
Check out our locations, benefits, and more at cash.app/careers!
Job Description
The Compliance Engineering & Technology Data team at Cash App detects and reports financial crimes activity on Cash App. We work globally with partners in Compliance, business, engineering, and product to guarantee we are providing a safe user experience for our customers while minimizing or eliminating bad activity on our platform.
We are leveraging Data Science as an integral part of our toolkit to fulfill our mission. As Cash App scales, we are monitoring billions of dollars in transactions across traditional payment and blockchain networks. We uncover and put an end to money laundering, suspicious, and illegal activities before they impact our users. We are looking for a Staff Data Scientist to join our fast growing team with the goal of identifying impactful problems worth solving, defining and tracking the metrics that measure the success of the team, communicating team progress to stakeholders and leadership, and providing deep dive analytical support to our partners and stakeholders as necessary.
This is an IC role, but the Staff level has additional leadership responsibilities that include envisioning, owning, and driving strategic roadmaps & priorities to completion by collaborating with cross functional stakeholders as well as mentoring & growing junior team members.
You will:
Define, build and track metrics that demonstrate health of the Compliance program.Track the impact of the data team in optimizing Compliance operations.Effectively communicate our work with team leads, cross-functional stakeholders and business leaders on a regular basis.Defining the Risk Based Framework followed by quantifying and tracking our platform risk over time.Modeling the cost to Compliance for new and significant Product Launches to aid in timely operational capacity planning.Implement and automate case volume forecasting to aid the annual and quarterly Operations capacity planning exercise.Own & deliver ad hoc analyses and deep dive investigations for poorly defined, but important business problems that aid in effective decision making.Build deep connections and trust with Compliance Operations, Compliance Analytics and Product teams, particularly the Health Abstraction.
Qualifications
You Have:
6+ years of advanced Analytics/Data Science experience in the technology industry.An MS or PhD degree in data science, quantitative sciences, statistics,  computer science, operations research, business analytics,  or a related technical field.Advanced proficiency with SQL and data visualization tools (e.g. Tableau, Looker, etc) as well as experience with common Python DS stack (numpy, pandas, matplotlib, plotnine etc.).Extremely strong written and verbal communication & presentation skills and an ability to build strong relationships and influence with business & product partners.Mentored and grown Junior Data Analysts and Data Scientists on the team.Have a curious, passionate, growth-oriented mindset.
Nice to Have:
Experience working with machine learning models.
Additional Information
Block takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.

Zone A: USD $184,100 - USD $225,000
Zone B: USD $174,900 - USD $213,700
Zone C: USD $165,700 - USD $202,500
Zone D: USD $156,400 - USD $191,200
To find a location’s zone designation, please refer to this resource. If a location of interest is not listed, please speak with a recruiter for additional information.
Benefits include the following:
Healthcare coverageRetirement Plans including company match Employee Stock Purchase ProgramWellness programs, including access to mental health, 1:1 financial planners, and a monthly wellness allowance Paid parental and caregiving leavePaid time offLearning and Development resourcesPaid Life insurance, AD&D. and disability benefits Perks such as WFH reimbursements and free access to caregiving, legal, and discounted resources
This role is also eligible to participate in Block's equity plan subject to the terms of the applicable plans and policies, and may be eligible for a sign-on bonus. Sales roles may be eligible to participate in a commission plan subject to the terms of the applicable plans and policies. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.
We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page.
Additionally, we consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.


Data Scientist Lead Square F S

Company Description
Since we opened our doors in 2009, the world of commerce has evolved immensely, and so has Square. After enabling anyone to take payments and never miss a sale, we saw sellers stymied by disparate, outmoded products and tools that wouldn’t work together.
So we expanded into software and started building integrated, omnichannel solutions – to help sellers sell online, manage inventory, offer buy now, pay later functionality through Afterpay, book appointments, engage loyal buyers, and hire and pay staff. Across it all, we’ve embedded financial services tools at the point of sale, so merchants can access a business loan and manage their cash flow in one place. Afterpay furthers our goal to provide omnichannel tools that unlock meaningful value and growth, enabling sellers to capture the next generation shopper, increase order sizes, and compete at a larger scale.
Today, we are a partner to sellers of all sizes – large, enterprise-scale businesses with complex operations, sellers just starting, as well as merchants who began selling with Square and have grown larger over time. As our sellers grow, so do our solutions. There is a massive opportunity in front of us. We’re building a significant, meaningful, and lasting business, and we are helping sellers worldwide do the same.
Job Description
The goal of this team is to empower Square F&S org with data driven decision making, by defining and developing the metrics and KPIs (actual & forecasted) to track Square business against organizational goals. You will lead the data engineers in the team to build the required laying foundations.You are a self-starter and you are comfortable working cross-functionally with other teams across Square and enrich those relationships.
You will:
Partner with Square F&S org and be responsible for co-defining metrics & KPIs that will be used to track product’s performance by various GTM, product and other teams.Lead, coach and mentor a team of data engineers and build data driven culture in the team.Apply a diverse set of tactics such as statistics, quantitative reasoning, and machine learning to research and produce insightsCoordinate and solve complex projects that extend beyond the traditional boundaries of product domains, analytics, and data scienceDevelop resources to empower data access and self-service so your expertise can be leveraged where it is most impactful
Qualifications
You have:
8+ years of analytics and data science experience or equivalentExperience building relationships to influence product partners with dataExperience leading cross-functional projects that depend on the contributions of others in multiple disciplinesExperience applying both statistical and machine-learning techniques to solve practical product problems such as predicting churn, defining frameworks for measuring success, and clustering user archetypesFamiliarity with data warehouse design and best practicesFluency with data, analytics, and visualization technologies (we use SQL, Looker, and Python)
Nice to have:
M.S or Ph.D. in a quantitative field (mathematics, statistics, or similar STEM field)Experience working with finance/accounting team on designing metrics to track company’s performance
Additional Information
Block takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.

Zone A: USD $184,100 - USD $225,000
Zone B: USD $174,900 - USD $213,700
Zone C: USD $165,700 - USD $202,500
Zone D: USD $156,400 - USD $191,200
To find a location’s zone designation, please refer to this resource. If a location of interest is not listed, please speak with a recruiter for additional information.
Benefits include the following:
Healthcare coverageRetirement Plans including company match Employee Stock Purchase ProgramWellness programs, including access to mental health, 1:1 financial planners, and a monthly wellness allowance Paid parental and caregiving leavePaid time offLearning and Development resourcesPaid Life insurance, AD&D. and disability benefits Perks such as WFH reimbursements and free access to caregiving, legal, and discounted resources
This role is also eligible to participate in Block's equity plan subject to the terms of the applicable plans and policies, and may be eligible for a sign-on bonus. Sales roles may be eligible to participate in a commission plan subject to the terms of the applicable plans and policies. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.
We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page.
Additionally, we consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.


Senior Data Scientist Product Analytics

Gusto is looking for a mid-career data scientist with a solid grounding in statistics and data story-telling and a passion for product analytics.
About Gusto
Gusto is a modern, online people platform that helps small businesses take care of their teams. On top of full-service payroll, Gusto offers health insurance, 401(k)s, expert HR, and team management tools. Today, Gusto offices in Denver, San Francisco, and New York serve more than 300,000 businesses nationwide.
Our mission is to create a world where work empowers a better life, and it starts right here at Gusto. That’s why we’re committed to building a collaborative and inclusive workplace, both physically and virtually. Learn more about our Total Rewards philosophy.
About the Role
In this role you will work closely with other members of our Data Science team, as well as our Engineering, Product and Design partners to define and track product metrics, design customer-facing experiments and dive deep into our Payroll, Benefits and HR data to deliver impactful insights to our business partners.
Gusto’s Data Science team leverages Gusto’s rich dataset to guide product direction and decision-making. We operate full-stack, working closely with product managers to apply data insights to strategy and product decisions, conducting analyses, prototyping and deploying predictive models and statistical tools both for internal use and for our customers.
Here’s what you’ll do day-to-day:

Work closely with product groups to define, measure and report on core product and feature metrics, and to define standards and practices for how product groups work with data

Perform in-depth analyses of our Payroll, Benefits and HR product data to inform and guide product direction and strategy

Design and analyze customer-facing experiments

Work with our business intelligence teams to turn your insights and analyses into clean and consistent reporting

Be a strong voice for a data-informed point of view within our engineering, product and design organization

Collaborate with UX research to design surveys and provide quantitative insights on customer experience

Here’s what we're looking for:

We love meeting people with different data backgrounds. For this Senior Data Science role, we are looking for at least 5-10 years experience working with large-scale data. This could mean either a MS or PhD in a quantitative field with at least 3 years experience in a business environment, or BS or Data Science Bootcamp graduate with at least 5 years of experience working as a data scientist in a business setting.

Strong SQL skills, and be comfortable in at least one scripting or statistical programming language (ideally Python and/or R)

Strong knowledge of statistics and experiment design and ability to apply these to conducting and interpreting analyses, data visualization, presentation and recommendations

Excellent communicator - able to effectively deliver findings and recommendations to non-technical stakeholders in a clear and compelling fashion

Be curiosity-driven and passionate about teaching and evangelizing a data-informed approach to product development to product managers, designers and engineers

Our cash compensation amount for this role is targeted at $133,000-$146,000/yr in Denver & most remote locations, and $161,000-$176,000/yr for San Francisco and New York. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above.
Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Gusto.
Gusto is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Gusto considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Gusto is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at accommodations@gusto.com.
#LI-Remote


Senior Data Scientist Marketing

See yourself at Twilio
Join the team as our next Senior Data Scientist, Marketing on Twilio’s Segment product team.
Who we are & why we’re hiring
Twilio powers real-time business communications and data solutions that help companies and developers worldwide build better applications and customer experiences.
Although we're headquartered in San Francisco, we have presence throughout South America, Europe, Asia and Australia. We're on a journey to becoming a global company that actively opposes racism and all forms of oppression and bias. At Twilio, we support diversity, equity & inclusion wherever we do business.
About the job
This position is needed to accelerate the growth and efficiency of our marketing efforts. Reporting to the GTM Data Science & Analytics Lead, this position will be working closely with various marketing partners to jointly drive improvements not just at the top-of-funnel, but across our sales motion and marketing landscape.
Responsibilities
In this role, you’ll:

Build and maintain robust and reliable internal data pipelines, which generate marketing datasets and power key metrics reporting and dashboards on topics such as marketing spend, campaign attribution, lead acquisition etc

Develop and deliver data modeling and predictive analytics solutions to Marketing and Sales stakeholders

Analyze marketing performance results to generate business insights, inform marketing strategy, and unlock potential value

Be part of a team of data scientists who work across the Go-to-Market functions, while collaborating with cross-functional teams including Data Engineering, Paid Marketing, Marketing Strategy and Operations, and Sales

Qualifications
Not all applicants will have skills that match a job description exactly. Twilio values diverse experiences in other industries, and we encourage everyone who meets the required qualifications to apply. While having “desired” qualifications make for a strong candidate, we encourage applicants with alternative experiences to also apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!
Required:

Strong business acumen and a deep sense of curiosity, with the ability to think creatively about both products and processes

Excellent communications skills, with the ability to synthesize, simplify and explain complex problems to different types of audience, including executives

Well-developed project management skills, with ability to skillfully balance competing interests

Expert level SQL skills and dashboarding skills in tools like Looker or Tableau; proficient in at least one programming language (such as Python or R)

Proficient with statistical analysis and machine learning techniques

Desired:

6+ years of experience working with data analytics and modeling, with at least 2+ years in the marketing domain

BS/MS in a quantitative or technical field

Familiarity with the tools in our current tech stack including dbt Cloud, Looker, Tableau, Salesforce, AWS Sagemaker, Apache Airflow

Location
This role will be remote but is not eligible to be hired in San Francisco, CA, Oakland, CA, San Jose, CA, or the surrounding areas.
Other Notes
*Please note this role is open to candidates outside of Colorado, California, New York, and Washington. The information below is provided for candidates hired in those locations only.
The estimated pay ranges for this role are as follows:

Based in Colorado: $120,160 - $150,200

Based in New York, Washington State, or California (outside of the San Francisco Bay area): $127,280 - $159,100

This role may be eligible to participate in Twilio’s equity plan. All roles are eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave.

The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location within the state.
What We Offer
There are many benefits to working at Twilio, including, in addition to competitive pay, things like generous time-off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.
Twilio thinks big. Do you?
We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic. Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts.
So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now!
If this role isn't what you're looking for, please consider other open positions.


Data Scientist

Join us on the journey to get to net zero

At Carbon Direct, we dedicate our scientific, software, and business expertise to empower organizations around the world to take climate action.

Our Mission
Enable organizations to reduce, remove, and utilize their emissions with carbon science
We are a purpose-driven carbon management firm dedicated to helping organizations around the world reach their climate goals. We make carbon science accessible and actionable with our end-to-end platform.

Global citizens with global impact
Whether a scientist, developer, or carbon markets expert, we are united by our mission to take climate action now. We are experts in our fields and we act with confidence. Located across 4 countries and 10+ states in the U.S., we offer both remote-friendly work options and dynamic, in-person experiences with offices located in Seattle, WA and Oakland, CA.

Diverse backgrounds bring diverse perspectives
We recognize that teams with diverse backgrounds and different experiences are powerful. Bringing together a variety of perspectives only enhances how we can effectively address the climate crisis. Together, we are creating an environment where everyone is celebrated and anyone can succeed.

The Role

We are looking for a dynamic, entrepreneurial mid-career data scientist who understands the value of data in tackling the climate problem. The successful candidate will be a team player who can work creatively across carbon science, data science, and software engineering teams. The candidate should be an experienced modeler in the context of real-world environmental, ecological, or other climate/carbon-related topics. We are especially interested in lifelong learners, willing to learn new modeling techniques and work directly with new data types, including tabular data, GIS/remote sensing imagery, and electric grid system data. Strong communication skills and ability to articulate the insights derived from quantitative analysis are critical.

Responsibilities

Identify and explore key carbon-relevant data sets.
Preprocess (extract, clean and integrate) carbon-relevant data from multiple sources.
Build, calibrate, test and maintain analytic models including predictive machine-learning models for a range of climate-relevant applications (classification and regression; supervised and unsupervised).
Present results using data visualizations and clear verbal explanations.
Collaborate with the science team to enhance and extend existing quantitative modeling efforts.
Collaborate with software engineering and product teams to deploy trained models.

Qualifications

A PhD or M.S. in a carbon-relevant field (data science, forestry, soil science, engineering, biology, chemistry, physics, math, or other STEM fields) or a bachelor’s degree with extensive demonstrated relevant work experience.
Multiple years of experience in applied data analysis and machine learning.
Proficiency with data mining and preprocessing.
Fluency with GCP, Python, SQL and R. Familiarity with data science and machine learning libraries (e.g., pandas, TensorFlow, PyTorch, scikit-learn) a strong plus.
Familiarity with data visualization tools and libraries (e.g., Tableau, PowerBI, matplotlib).
Strong business-relevant quantitative analysis skills.
Willingness to learn novel analysis and modeling methods and work with a broad range of data types (tabular, natural language, remote sensing/imagery, power systems, etc).
Excellent ability to communicate insights from quantitative modeling.
High aptitude for collaborative, team-based data science work.
Orientation toward creative and efficient problem solving using data.

$135,000 - $165,000 a year

Benefits

While we love our work, our lives aren’t defined by it. At Carbon Direct, we offer a robust benefits package that considers the whole person, their partners, and their families – and we’re always looking to improve.

Our U.S. benefits* include:
Comprehensive nationwide medical, dental, and vision coverage. See a preview of our coverage here.
Time off as needed: Flexible vacation policy and ten company-wide holidays, plus annual winter break between Christmas and New Year's
16 weeks of fully paid parental and family leave with no tenure requirement
Remote-friendly work culture with annual company-wide retreats
Reimbursement for your work-from-home setup

*These benefits apply to U.S.-based employees only. Employees outside of the U.S. receive benefits that vary by country. To learn more, contact people@carbon-direct.com.

Equal Opportunity Employer

Diverse perspectives and experience enhance the way Carbon Direct selects and approaches the climate crisis, as well as the creativity and applicability of Carbon Direct's advisory and investment work.

Carbon Direct is an equal opportunity employer and does not discriminate on the basis of race, color, gender, religion, age, sexual orientation, national or ethnic origin, disability, marital status, veteran status, or any other occupationally irrelevant criteria. We adhere rigorously to our equal employment opportunity policies in connection with all employment decisions, including hiring, compensation and promotion.


Sr Data Scientist

Sr Data Scientist
US-Remote
Our best employees are collaborative and selfless. They enjoy working on data but they prioritize mentoring and supporting others. They are involved in the full lifecycle of data science: understanding the problem, investigating the data, building the model, testing the model, testing the integration, deploying it to production, and monitoring the deployment. They are fully engaged in the problem domain.
We see it as a prerequisite that candidates possess and demonstrate a desire to lead from the front in improving a supportive, empathetic team; we expect candidates to be trusted and beloved by their teammates such that they become technical and emotional anchors for the rest of the team and department.
Flashpoint is the globally trusted leader in risk intelligence for organizations that demand the fastest, most comprehensive coverage of threatening activity on the internet. From bolstering cyber and physical security, to detecting fraud and insider threats, Flashpoint partners with customers across the private and public sectors to help them rapidly identify threats and mitigate their most critical security risks. Flashpoint is backed by Georgian Partners, Greycroft Partners, TechOperators, K2 Intelligence, Jump Capital, Leaders Fund, Bloomberg Beta, and Cisco Investments. For more information, visit https://www.flashpoint-intel.com/ or follow us on Twitter at @FlashpointIntel.
We have a role for you if

You have worked with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
You have mined and analyzed data from company databases to drive improvement of data products.
You have developed custom data models and algorithms to apply to data sets.
You have Used predictive modeling to enhance our products and data offerings.
You have coordinated with different functional teams to implement models and monitor outcomes.
You have developed processes and tools to organize and label data.
You have developed processes and tools to monitor and analyze model performance and data accuracy.

You have some exposure to

In-depth knowledge of Search Engines and Information Retrieval Systems.
Experience in second-pass ranking systems using deep learning and NLP technologies to improve initial search results retrieval.
Experience running A/B experiments to validate search improvements.
Experience working with deep and dark web data or other analysis of criminal or bad actor activity.
Experience using Web services, Data Warehouses, and Distributed Computing tools (Machine Learning APIs, BigQuery, Redshift, S3, Map/Reduce, Spark,  etc)
Experience working with and creating data architectures with a focus on machine learning.
Experience visualizing/presenting data for stakeholders using: Looker, Metabase, Matplotlib, Periscope, Business Objects, D3, ggplot, etc.

What you will get to do on our team

Solve problems with an emphasis on product development.

Work on advanced statistical techniques (regression, properties of distributions, statistical tests and proper usage, etc.) and use statistical computer languages (R, Python, NumPy, SQL, etc).
Own machine Learning processes(Supervised/Unsupervised Learning, Deep Learning, Learning-to-Rank, NLP, etc.) and understand their real-world advantages and drawbacks.
Be an expert in designing, implementing, and validating models using ML/Deep Learning libraries such as: Tensorflow, Pytorch, Scikit-Learn, SparkML etc.
Gain experience with pre-trained models and fine-tuning (transfer learning).
Gain experience with NLP Models: Document classification, Document Similarity,  Entity Extraction, Embeddings.
Communicate (written and verbal) across teams to explain model results to different stakeholders
Have the opportunity to learn and master new technologies and techniques.
Have an experimental mindset and MVP approach.
Be organized and exemplify your work ethic.
Have a  humble attitude and persistence to learn and to Get Stuff Done Right.

What you will achieve

Within 30 days

You will have gained a general understanding of the company’s goals, how these translate to the different products, and how these are made possible or improved by ML. On the technical side, you have explored different Flashpoint datasets and the current state of the Data Science projects. You will have met all the teams involved in such projects. At the end of this period you will be able to start proposing new upgrades and improvements to the current ML efforts.

Within 60 days

You now have a deeper understanding of the current products, their involved teams, and the data process of inputs and outputs. You are familiar with the “raw” data available for ML, their particularities and nuances, their pre-processing, and output. Working with multiple stakeholders, a set of Search Relevance deliverables have been defined and the initial stages for their implementation are underway.

By 90 days

You have gained full confidence and now you are spearheading the Data Science efforts inside the company. You are providing assistance and relevant feedback to the multiple projects you are involved in or are related to ML. The Search Relevance improvements are now in an advanced developed state, if not fully deployed, they are in the final validation steps.

Salary: $140,000/yr - $180,000/yr plus bonus
Why Flashpoint is a great place to work

Diversity.  Flashpoint is committed to fostering, cultivating and preserving a culture of diversity, inclusion, belonging, and equity. We recognize that diversity is key to achieving our vision. We believe that every person and their experiences contribute to building a work environment and a product that will change the world.

Culture and Belonging.  Our company’s culture isn’t something you join, it’s something you build and shape, and each person's unique backgrounds and experiences contribute to who Flashpoint is and will become.  You will have ample opportunities to connect with coworkers through various communication channels and company-funded events: dietary & allergy conscious catered lunches, book clubs, happy hours, committees and much more.

Benefits. We offer a competitive salary and benefits package, including unlimited PTO, 401(K), mental health and wellness benefits, commuter benefits, and generous parental leave policies.

Perks. Flashpoint understands that personal wellness is one of the keys to a happy, healthy and productive work environment.  That’s why we also prioritize health and wellness perks like gym reimbursements and daily meditation,  well-stocked kitchens, cool cultural initiatives and inclusive employee events.

Career Growth. Flashpoint is invested in the growth of our team members and understands that frequent, two-way feedback is critical to that growth. We encourage regular one-on-ones with your manager, a regular schedule of performance reviews, learning and development opportunities, and guidance through formalized career paths; whether that be towards being a great manager, being a great individual contributor, or a lateral move to gain breadth of knowledge and experience.


Senior Insurance Data Scientist

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. Insurance 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.
In addition to working on pricing algorithms and risk segmentation, you may also work at the forefront of developing analytical tools to improve the practice relating to predictive and prescriptive analytics.
What will you do as a Sr. Insurance 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

Develop predictive and prescriptive analytical tools and frameworks for Insurance Product

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

3+ years of experience with applying advanced quantitative or predictive modeling techniques

Experience in Property and Casualty (P&C) insurance is required

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

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 and mental health workshops

Top of the line hardware 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.

Because we are a remote first company, we ask that your internet can keep up with our pace.
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.


Staff Data Scientist

About SecurityScorecard:
SecurityScorecard is the global leader in cybersecurity ratings, with over 12 million companies continuously rated, operating in 64 countries. Founded in 2013 by security and risk experts Dr. Alex Yampolskiy and Sam Kassoumeh and funded by world-class investors, SecurityScorecard’s patented rating technology is used by over 25,000 organizations for self-monitoring, third-party risk management, board reporting, and cyber insurance underwriting; making all organizations more resilient by allowing them to easily find and fix cybersecurity risks across their digital footprint.
Headquartered in New York City, our culture has been recognized by Inc Magazine as a "Best Workplace,” by Crain’s NY as a "Best Places to Work in NYC," and as one of the 10 hottest SaaS startups in New York for two years in a row. Most recently, SecurityScorecard was named to Fast Company’s annual list of the World’s Most Innovative Companies for 2023 and to the Achievers 50 Most Engaged Workplaces in 2023 award recognizing “forward-thinking employers for their unwavering commitment to employee engagement.”  SecurityScorecard is proud to be funded by world-class investors including Silver Lake Waterman, Moody’s, Sequoia Capital, GV and Riverwood Capital.
About the Role:
As a Staff Data Scientist, you will provide cutting-edge data science models, and expert insights for business challenges throughout the organization. You’ll partner with business stakeholders to define problems and develop models that impact our growth across all markets and products. You will partner cross-functionally across Finance, Customer Success, Sales, Marketing as well as Senior leadership.
This role requires a mixture of business acumen and technical expertise, along with an ability to build strong partnerships with business partners. You will take a leadership role in coaching and enabling your peers. Success in the role will require a self-starter with a passion for collaborating with others to solve problems. The ideal candidate will be an inquisitive learner with a passion for data science who can collaborate with stakeholders across functional areas while aligning to corporate objectives.
Responsibilities:

Partner with various business teams such as; Marketing, Finance, Customer Success, and Sales to deliver impactful Data Science solutions to understand our customers
Manage stakeholders through the lifecycle of data science projects from ideation to action.
Identify areas to evolve and improve the efficiency and effectiveness of existing data artifacts
Collaborate with members of the Customer Intelligence team to help drive data science strategy and analytics adoption across the organization.
Deliver a range of custom data science projects that may include churn modeling, customer propensity modeling, developing a customer health score, causal inference; customer lifetime value; share of wallet etc..
Provide clear visualizations and present analyses to Executive-Level Stakeholders, using Business Intelligence tools and predictive analytics to drive key decisions.
Participate in ad hoc projects around strategic initiatives.

Qualifications:

At least 6 years work experience in Data Science applications.
Exceptional ability framing Data Science solutions for business questions.
Strong proficiency with SQL and Python.
Experience building predictive models.
Strong business acumen and communication skills, ability to translate complex modeling into explainable business recommendations.
Exceptional visual storytelling skills.
Fast learner with high attention to detail.
Top-notch work ethic and ability to work independently and meet deadlines in a fast-paced environment.
Bachelor’s degree in Mathematics, Business, Economics, or related discipline required, MS preferred.

Benefits:We offer a competitive salary, stock options, Health benefits, and unlimited PTO, parental leave, tuition reimbursements, and much more!
If you are a resident of Colorado, New York City, California, or Washington State, please email us at talentacquisitionoperations@securityscorecard.io to receive compensation information for this role.
SecurityScorecard is committed to Equal Employment Opportunity and embraces diversity. We believe that our team is strengthened through hiring and retaining employees with diverse backgrounds, skill sets, ideas, and perspectives. We make hiring decisions based on merit and do not discriminate based on race, color, religion, national origin, sex or gender (including pregnancy) gender identity or expression (including transgender status), sexual orientation, age, marital, veteran, disability status or any other protected category in accordance with applicable law.
We also consider qualified applicants regardless of criminal histories, in accordance with applicable law. We are committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need assistance or accommodation due to a disability, please contact talentacquisitionoperations@securityscorecard.io.
Any information you submit to SecurityScorecard as part of your application will be processed in accordance with the Company’s privacy policy and applicable law.
SecurityScorecard does not accept unsolicited resumes from employment agencies.  Please note that we do not provide immigration sponsorship for this position.


Vp Of Data Science

About SecurityScorecard:
SecurityScorecard is the global leader in cybersecurity ratings, with over 12 million companies continuously rated, operating in 64 countries. Founded in 2013 by security and risk experts Dr. Alex Yampolskiy and Sam Kassoumeh and funded by world-class investors, SecurityScorecard’s patented rating technology is used by over 25,000 organizations for self-monitoring, third-party risk management, board reporting, and cyber insurance underwriting; making all organizations more resilient by allowing them to easily find and fix cybersecurity risks across their digital footprint.
Headquartered in New York City, our culture has been recognized by Inc Magazine as a "Best Workplace,” by Crain’s NY as a "Best Places to Work in NYC," and as one of the 10 hottest SaaS startups in New York for two years in a row. Most recently, SecurityScorecard was named to Fast Company’s annual list of the World’s Most Innovative Companies for 2023 and to the Achievers 50 Most Engaged Workplaces in 2023 award recognizing “forward-thinking employers for their unwavering commitment to employee engagement.”  SecurityScorecard is proud to be funded by world-class investors including Silver Lake Waterman, Moody’s, Sequoia Capital, GV and Riverwood Capital.
About the Role:
The Head of Data Science is a leadership role responsible for developing and the ongoing operation of the company's tools, technologies, and technical solutions leveraging data science, advanced analytics, machine learning, generative AI, and other algorithms. In addition, the VP of Data Science is responsible for the ongoing strategic advancement of the company's data science capabilities.
As the VP of Data Science, you will be responsible for defining the roadmap for your team and partnering with Product and Engineering to materialize those initiatives.
Responsibilities:

Partner with senior business, product, and engineering leaders to develop strategic goals and direction needed to continuously enhance the company's technology platforms
Be a technical leader for the data science team, helping institute best engineering practices (coding standards, automated testing, scalability) and grow the technical capabilities of the team
Ensure data best practices and play a critical role in building a data-driven culture throughout the entire organization
Partner with senior business, product, and engineering leaders to develop strategic goals
Partner with the technology leadership team to create a long-term vision and develop a roadmap of data science projects
Conceive, develop, implement, and continually improve machine learning projects
Leverage skills, experience, and creativity to apply data science to tackle interesting and challenging problems
Develop new capabilities to deliver business solutions by applying data science algorithms
Build and lead a high-performing team of data scientists, helping to enhance their skills while creating a fun and engaging culture that helps them prosper
Foster career growth and provide thoughtful mentorship to develop employees at varying levels of experience. Establish a clear vision and mission for the data science department
Work with cross-functional partners and executives in product, engineering, operations, finance, and marketing to define and achieve business goals and to build data-informed business strategies and roadmaps
Determine leveraging data science, machine learning, and other analytical techniques to improve product features and capabilities. Provide leadership on how to leverage data and data expertise to improve the customer experience
Develop analytical frameworks, models, roadmaps, and metrics for the team and broader organization
Serve as a champion for data science and informed decision-making at all levels of the company. Make analytical techniques approachable and understandable to non-data scientists
Lead the end-to-end planning and execution of all data analytics and sciences initiatives

Qualifications:

10+ years of advanced analytics or data science experience
Master’s degree in Computer Science, Statistics, Machine Learning, Mathematics, or any other related quantitative field
5+ years of management experience in leading data science teams with a successful track record in building teams, defining goals and overseeing execution
Proven track record of solving ambiguous and complex data problems at scale, strong quantitative modeling skills inclusive of machine learning
Strong interpersonal and communication skills. You are equally comfortable presenting to executives and peers as you are writing complex SQL queries
Business Acumen – Proven ability to apply data science capabilities to solve practical business problems
Product Sense - Understanding of a product planning process, ability to influence product strategies and roadmaps, strong collaboration skills
Expert level knowledge in predictive analytics, machine learning, and data mining
Proficiency in Python, Spark, Notebooks, AWS, Generative AI models, etc.
Data & ML Architecture – Experienced integrating data science applications into software products. Understands ML Ops (deployment/scalable infrastructure)
Has worked with data at scale and velocity
Mentor+Coach – A player-coach who can roll up sleeves, solve problems as a team, and facilitate the team’s success
Proven ability to attract, hire, develop, and retain exceptional talent
A dynamic, forward-thinking leader who will bring intensity and commitment to the business. A bias toward action, experimentation, and velocity

Benefits:We offer a competitive salary, stock options, Health benefits, and unlimited PTO, parental leave, tuition reimbursements, and much more!
If you are a resident of Colorado, New York City, California, or Washington State, please email us at talentacquisitionoperations@securityscorecard.io to receive compensation information for this role.
SecurityScorecard is committed to Equal Employment Opportunity and embraces diversity. We believe that our team is strengthened through hiring and retaining employees with diverse backgrounds, skill sets, ideas, and perspectives. We make hiring decisions based on merit and do not discriminate based on race, color, religion, national origin, sex or gender (including pregnancy) gender identity or expression (including transgender status), sexual orientation, age, marital, veteran, disability status or any other protected category in accordance with applicable law.
We also consider qualified applicants regardless of criminal histories, in accordance with applicable law. We are committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need assistance or accommodation due to a disability, please contact talentacquisitionoperations@securityscorecard.io.
Any information you submit to SecurityScorecard as part of your application will be processed in accordance with the Company’s privacy policy and applicable law.
SecurityScorecard does not accept unsolicited resumes from employment agencies.  Please note that we do not provide immigration sponsorship for this position.


Data Scientist

The Role
As a Data Scientist on the Striveworks Technical Engagements team you will be challenged—and trusted—on day one to be a core contributor to the projects and direction of the company. You will be a key Striveworks representative and solutions provider to project sites and customers where Chariot is deployed. You will be leading and working alongside a team of data scientists, software engineers, and site reliability engineers to transform machine learning models into functional products.
You will use your expertise to integrate and apply the Striveworks platform, and leverage it to rapidly prototype and deliver machine learning capabilities for our customers through custom algorithms and software. You will tackle real-world problems as they unfold, utilizing your technical expertise and communication skills to provide reliable and scalable solutions.
You are right for this challenge if you:

Value and possess technical expertise and you push the boundaries of your own capabilities;
Are outcome-driven, not requirements-driven, and appreciate creative problem solving;
Know that customer-facing activities, technical communications, and time management skills are all important;
Are passionate about the intersection of Data Science and operational needs.

This role both allows and requires flexibility in work location. At times, you will be tasked with on-site, sporadic travel to customer locations. At other times, you can be based in our Austin, Texas headquarters, or in a remote location.
Potential projects include:

Development of machine learning models and custom algorithms on image, video, text, geospatial, time-series, and/or tabular data sets
Orchestration and automation of complex data engineering and analytic pipelines
Implementation of and integration with modern event-driven and microservices architectures
Everything as Code
Implement and deploy production analytics into cloud environments
Opportunity to conduct mission-critical field work

The Right Fit
We spend a lot of time in our hiring process talking about shared values, because we passionately believe that fostering an environment where people can self-actualize and pursue greatness is the best way to achieve our individual and collective goals. What does this mean? We want an environment where our team members persevere relentlessly to achieve their goals. We want an environment where team members know the team has the same goals, and they make and accept decisions for the team with humility. If your say/do ratio is 1, if you know that there is no smartest person in the room, then we’re already on the same page.
Here's what else we are looking for:

Expertise in machine learning and data science
Expertise in modern analytic toolsets such as PyTorch, TensorFlow, Scikit-Learn, Pandas, NumPy, or similar.
Strong previous experience in building and delivering production analytics
Proficiency in algorithms, data structures, and design patterns
Proficiency in with Python
Exposure to DevOps tooling and best practices (e.g., Git, Docker, Kubernetes, CI/CD)
Familiarity with database design and architecture: relational and non-relational
Driven, self-directed personality
Strong sense of mission and commitment to making a difference
B.S. degree in mathematics, physics, engineering, machine learning, computer science, or a related discipline, machine learning, or a related discipline; and 4+ years relevant experience
Active Top Secret security clearance
Able and willing to travel up to 20% (project dependent; some projects require far less travel)

The Wish List
We are very interested in Data Scientists that possess the above qualifications, and heavily appreciate and consider the addition of:

Exposure to graphical user interface (GUI) design concepts
Experience with ETL pipelines, data pipelines, and/or workflow automation
Exposure to one or more cloud architectures
Understanding of JavaScript frameworks such as React, Vue, or Angular
Experience using RESTful or GraphQL APIs
Understanding of synchronous, asynchronous, and concurrent programming
Understanding of networked and distributed computing
Knowledge of messaging systems such as Kafka, RabbitMQ, or similar

The Tech Stack
We believe in constant curiosity and peer-driven learning. As a Data Scientist for Engagements at Striveworks, you will learn about— or teach— the latest software technologies and processes, participate in open-source projects, and take part in pair programming. You will be able to grow your skills in:

Python, PyTorch, NumPy
Docker, Kubernetes, Helm
React, Typescript, FastAPI
Flyte

Find some of our public projects at github.com/Striveworks.

The Benefits

Top-of-market salary and total compensation
Generous equity plan
Health/vision/dental insurance
Flexible PTO
Parental leave

Striveworks: Better Models, Faster
The world has looked to data analytics to bridge the gap between floods of data and the struggle to use that data effectively to make timely, impactful decisions. Today, most organizations are awash in analytics that “aren’t quite right”—models that were developed too generally, or too slowly, to be effective in dynamic, fast-paced environments. Striveworks is simplifying ModelOps with a powerful and extensible platform that instantiates the data analytic process as code.
Striveworks is trusted by leading Fortune 500 firms as well as leaders in the public sector as a primary solution for managing model development, monitoring, and governance—and ensuring those models solve the real challenges their organizations face.
Striveworks’ Chariot platform enables users to turn their own production data into models and turn models into production systems. Uniquely, as you train, test, deploy, and use models, our lineage system enables you to track not only the “upstream” provenance of model and data sources, but also the “downstream” usage of the resultant model inferences. Combining this with a principled experience for data and model development, Chariot gives our customers in highly regulated industries an unmatched governance solution over the top of a performant ModelOps platform.
Striveworks is an Equal Opportunity Employer and does not discriminate in employment on the basis of race, color, religion, belief, sex (including pregnancy and gender identity or expression), national origin, social or ethnic origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factor. Striveworks will not tolerate discrimination or harassment of any kind.
If you require assistance or a reasonable accommodation in the application process, please contact Operations at hr@striveworks.us
Striveworks is a participating employer in the E-Verify program.


Principal Data Scientist Machine Learning

Rec Room is the best place to build and play games together. Players can chat, hang out, play in millions of rooms, or build something new to share with the world! We have a vibrant commercial ecosystem within Rec Room, and our goal is to enable creators to be rewarded for their work. Come join us on the ground floor to help optimize the ecosystem for both players and the business.
As a Principal Machine Learning Data Scientist, you’ll be responsible for designing, developing, and implementing machine learning models to power our in-game store recommendations and serve users content that they’d find valuable. You’ll be supporting creators in making a living on the platform, as well as playing a critical role in the success of Rec Room as a business.
WHAT YOU'LL DO:

Design, develop and implement production-facing ML models to deliver valuable commerce content to our users.
Collaborate closely with the ML Infra team to define a roadmap that powers real-time personalized ranking models.
Design and run A/B tests, analyze model performance, and deep dive into the data to uncover opportunities for improvements.
Build out pipelines in collaboration with our Analytics Engineering team to enable model building on top of sophisticated features.
Set best practices, mentor, and provide guidance to the more junior Data Scientists.

WE ARE LOOKING FOR INDIVIDUALS WITH:

Master's or Ph.D. degree in computer science, statistics, mathematics, or a related field
10+ years of ML experience in a production setting, with extensive experience working on ranking/recommendations
Experience with recommendations, ranking, personalization, search, and/or content discovery
Strong proficiency in programming languages such as Python, R, and SQL
Deep familiarity with ML infrastructure to collaborate with our infra team
Extensive experience with experimentation.
dbt knowledge is a plus
Spark/Databricks knowledge is a plus

COMPANY INFO TO KNOW:
Rec Room provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.


Staff Data Scientist Credit Card

The Role
We are seeking a Staff Data Scientist who will help shape our Credit Card business strategy and product development decisions through data-driven insights.  This is an exciting role for someone to make a direct impact on new product strategy and revenue of SoFi. Success in this role hinges on your technical aptitude, quantitative abilities, and business acumen: you know how to plow through data with SQL/Python/R/Tableau, surface insights using math/statistics/ML techniques, and measure the business impact using efficiency/conversion/profit metrics. You treat stakeholders as a partnership – you are there at each step of the way and you know that we only succeed if we succeed together.
What you’ll do:

Build models to help decision makers understand customer behaviors and segmentation

Work with amazing product and business managers to identify strategic opportunities, measure KPIs to craft compelling stories, make data-driven recommendations, and drive informed actions.

Analyze segment performance at the portfolio level and by vintage to drive insights and optimization

Help drive customer engagement strategies including early stage engagement, balance transfers, spend programs, and retention

Help manage and analyze existing cardholder portfolio covering spend engagement, balance stimulation, and good payment behaviors

Craft, analyze, and present customer behavior metrics, such as funnel conversion, user churn, features engagement, product LTV, and cross-sell metrics. Work with product and marketing partners to design tests to improve these metrics.

Own end-to-end product analytics workflow including formulating success metrics, socializing them across the organization, and creating pipelines & dashboards/reports;

Run significance tests and continuously discover trends in customer behavior to inform decision making with a high level of confidence;

Present analyses to Credit Card and Finance business leaders.

What you’ll need:

M.B.A, B.S. or M.S. in Statistics, Economics, Engineering, Computer Science, Mathematics or a related quantitative field is required for this position;

Proven track record of end-to-end experience in building analytical frameworks to inform business strategy;

5+ years of experience working in an analytics, business strategy, or related role in the credit card industry;

Deep understanding of credit bureau data;

Knowledge and understanding of statistical and econometric modeling methods for significance testing and causal inference.

Ability to work in a dynamic, cross-functional environment, with a strong attention to detail;

Effective communication and presentation skills and ability to explain complex analyses in simple terms to business leaders;

Strong relationship building and collaborative skills;

Exceptional problem-solving skills;


Senior Data Scientist Operations

📍Location | UK remote | Benefits
About us:
We’re here to make money work for everyone and we're doing things differently. For too long, banking has been obtuse, complex and opaque.
We want to change that and build a bank with everyone, for everyone. Our amazing community suggests features, test the app and give us constant feedback so we can build something everyone loves.
We're focused on solving problems, rather than selling financial products. We want to make the world a better place and change people's lives through Monzo.

About our Data Science Team:

We're looking for a Data Scientist for our Operations team excited to help build the bank of the future. You'll have the opportunity to work on an area that is the heart of how we enchant our customers and is full of data challenges: from optimising our systems, to experimenting with different app flows and working closely with Ops managers to understand the biggest opportunities for serving our customers!
At Monzo, we're building a bank that is fair, transparent and a delight to use. We’re growing extremely fast and have over four and half million customers in the UK, with over 100,000 new people joining every month. We’ve built a product that people love and more than 80% of our growth comes from word of mouth and referrals.
Our Product Analytics team's mission is to
Enable Monzo to Make Better Decisions, Faster
We have a strong culture of data-driven decision making across the whole company. And we're great believers in powerful, real-time analytics and empowerment of the wider business. All our data lives in one place and is super easy to use. 90% of day-to-day data-driven decisions are covered by self-serve analytics through Looker which gives data scientists the head space to focus on more impactful business questions and analyses.
We work in cross-functional squads where every data scientist is a member of a central data discipline and either embedded directly in a product squad or working closely with the operations leadership team.

Your day-to-day

Guide and enable product teams to measure things that matter; design and analyse  A/B experiments to keep improving everything we do; offer actionable recommendations to stakeholders
Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our users interact with our products and how those insights can inform our product strategy
Help us understand how we can measure and optimise a system that handles thousands of queries a week. What product improvements can we make? How can we understand if these are impactful?
Liaise with engineers to keep making sure we collect the right data to produce relevant business insights

You should apply if:
What we’re doing here at Monzo excites you!

You're impact driven and eager to have a real positive impact on the company, product, users and very importantly your colleagues as well

You're commercially minded and can put numbers into business perspective

You’re as comfortable getting hands-on as taking a step back and thinking strategically

You have a self-starter mindset; you proactively identify issues and opportunities and tackle them without being told to do so

You're a team player whom your colleagues can rely on

You have solid grounding in SQL and preferably Python

You have experience in conducting large scale A/B experiments

The Interview Process:
Our interview process involves three main stages:

Initial Call
Take home task
Final interview including a case study and collaboration interview

Our average process takes around 2-3 weeks but we will always work around your availability.
You will have the chance to speak to our recruitment team at various points during your process but if you
do have any specific questions or want to talk through reasonable adjustments ahead of or during application please us at any point on tech-hiring@monzo.com
What’s in it for you:
✈ We can help you relocate to the UK
✅ We can sponsor visas
📍This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London).
⏰ We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team.
📚Learning budget of £1,000 a year for books, training courses and conferences
➕And much more, see our full list of benefits here
If you prefer to work part-time, we'll make this happen whenever we can - whether this is to help you meet other commitments or strike a great work-life balance.

Equal Opportunity Statement
We are actively creating an equitable environment for every Monzonaut to thrive.
Diversity and inclusion are a priority for us and we are making sure we have lots of support for all of our people to grow at Monzo. At Monzo, embracing diversity in all of its forms and fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our blog,  2022 Diversity and Inclusion Report and 2022 Gender Pay Gap Report.
We're an equal opportunity employer. All applicants will be considered for employment without attention to ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, veteran, neurodiversity status or disability status.
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#LI-NB2 #LI-Remote


Senior Data Scientist

What You'll Do:
We are building the next generation of Data/Analytics and Machine Learning driven products and features for our B2B portfolio.  We are looking for a Senior Data Scientist who understands and has executed the full Data Science & Machine Learning lifecycle to enable products and services.  You will be able to engage with various functional SMEs to explore concepts, formulate exploratory analyses, develop models, and deploy production-grade ML Ops pipelines. You will have a strong handle on SQL, software engineering, statistical concepts, and Machine Learning tooling and infrastructure.

You can engage with various levels of SMEs (both Technical and Functional) to explain findings, build interactive demos/POCs to showcase concepts and take the concept to a production solution/product as ideas mature.
Collaborate with a variety of functional SMEs across various internal and external (product) domains to identify, explore and iterate on concepts to determine the feasibility and viability of solutions.
Formulate a systematic “funnel” methodology to efficiently iterate concepts via POCs, model benchmarking, data visualization, and explainability via Jupyter Notebooks/Streamlit POCs.
Design and Develop middleware/APIs for ML serving
Model building leveraging the latest techniques (Neural Networks as well as SciKitLearn)
Deploy models in a production-grade pipeline with proper monitoring (operational, data drift, etc)
Interface directly with product teams and SMEs to explore and iterate on funding and determine viability to productize.  Explain findings to a non-technical audience. Strong communication skills are required.
As needed, lead other data scientists and team members to drive a highly efficient process with reusable assets to reduce overall time to model.
Coordinate with multiple internal and external teams and functions to build highly reusable data and UI/UX assets/components

What You'll Bring to the Team:

Bachelor’s Degree preferably in Computer Science, Engineering, or a similar discipline.
5+ years of foundational Data Science and Software Engineering experience supporting production-grade enterprise systems leveraging Python, and SQL.
3+ years experience with deep learning frameworks (Pytorch, Tensorflow) and LLM frameworks such as Langchain
1+ years experience with Generative AI multi-modal LLMs for both base foundational use as well as training of LLMs for specific domain-specific use cases
5+ years experience with a variety of Modeling techniques (classification, clustering, time series, tabular data, etc).
Experience working with cross-functional teams and junior data scientists, working with business stakeholders, and roadmap/project management.
Experience with K8s and containerized solutions is a plus.
Experience across structured and unstructured databases and data sets as part of data preparation/cleansing for exploratory and model analysis.
Familiarity with Docker/Kubernetes, Linux, Git, Jenkins, and modern CI/CD pipelines is a plus
Experience with Finance/Fintech space a plus

SALARY RANGE BELOW FOR COLORADO BASED APPLICANTS ONLY
Target Base Compensation: $148,000.00 - $185,000.00  (bonus offered in addition to base compensation)
Please note that the compensation information that follows is a good faith estimate for Colorado-based hires only and is provided pursuant to the Colorado Equal Pay for Equal Work Act and Equal Pay Transparency Rules. Billtrust intends to offer the selected candidate base pay within this range, dependent on job-related, non-discriminatory factors such as experience and location. We encourage you to apply and speak with our Talent Acquisition team to learn more about the total compensation package.


Data Scientist School Of Medicine

The Department of Ophthalmology at Stanford University School of Medicine is seeking a highly motivated, hard-working, and professional Data Scientist to facilitate research efforts in ophthalmology. The incumbent will be part of the Department of Ophthalmology: however, the position will be in a collaborative environment, engaging with other Stanford faculty and staff across multiple departments, including Biomedical Informatics, Research IT, and Research Informatics Center. The incumbent will work. With a combination of structured and unstructured (text, imaging) data from several sources, including Stanford鈥檚 STARR and STARR-OMOP clinical research databases, the ophthalmology IRIS (Intelligent Research In Sight) national clinical data registry, commercial and Medicare claims data, national survey data, and other sources.
The position will require a comfortable incumbent working with some independence; consulting with and advising investigators to refine research questions, define hypotheses and project objectives, design studies, and devise analysis plans; and working with project team members鈥攊ncluding clinicians, trainees, and other statisticians/informaticists鈥攖o implement analysis plans and publish findings. The incumbent must be proficient at balancing involvement in multiple simultaneous projects and prioritizing to manage competing priorities. The incumbent will work closely with others to interrogate databases to create analytic files, perform quality control and data cleaning, and manage and analyze data. The incumbent must be an excellent and timely communicator, able to present results in oral and written form to clinical investigators.
Duties include:
路聽聽聽聽聽聽 Collect, manage and clean datasets.
路聽聽聽聽聽聽 Employ new and existing tools to interpret, analyze, and visualize multivariate relationships in data.
路聽聽聽聽聽聽 Create databases and reports, develop algorithms and statistical models, and perform statistical analyses appropriate to data and reporting requirements.
路聽聽聽聽聽聽 Use system reports and analyses to identify potentially problematic data, make corrections, and determine root cause for data problems from input errors or inadequate field edits, and suggest possible solutions.
路聽聽聽聽聽聽 Develop reports, charts, graphs and tables for use by investigators and for publication and presentation.
路聽聽聽聽聽聽 Analyze data processes in documentation.
路聽聽聽聽聽聽 Collaborate with faculty and research staff on data collection and analysis methods.
路聽聽聽聽聽聽 Provide documentation based on audit and reporting criteria to investigators and research staff.
路聽聽聽聽聽聽 Communicate with government officials, grant agencies and industry representatives.
* - Other duties may also be assigned
DESIRED QUALIFICATIONS:
- Strong background in machine learning, biostatistics, and bioinformatics
- Intellectually curious; willing and eager to learn new skills
- Experience with large datasets and database use
- Experience with analysis of real-world observational health data (e.g., electronic medical records, insurance claims)
- Manipulation and analyses of complex high-dimensional data
- Ability to perform careful data cleaning and preparation, including: identifying and handling data discrepancies, duplicates,
missing values, outliers, etc; developing cohorts of patients based on inclusion and exclusion criteria, such as those based on
billing code diagnoses, age or other demographics, length of follow-up, or other characteristics; creating new variables,
including coding relevant outcomes, combining sparse variables, normalizing/standardizing variables; merging datasets on
multiple key values; reshaping data from long to wide or vice versa as the befits the analysis needs; loading data into
analysis programs, saving data into different file formats
- Experience with at least 2 of the following: 1) Machine learning predictive models (gradient boosted trees, random forest
etc.); 2) Deep learning neural networks, transfer learning; 3) Hierarchical/multilevel modeling, propensity score
matching/weighting 4) Convolutional neural networks
- Experience with free-text data (e.g., natural language processing) is a plus, or else willingness to learn
EDUCATION & EXPERIENCE (REQUIRED):
Bachelor's degree or a combination of education and relevant experience. Experience in a quantitative discipline such as economics, finance, statistics or engineering.
KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED):
路聽聽聽聽聽聽 Substantial experience with MS Office and analytical programs.
路聽聽聽聽聽聽 Strong writing and analytical skills.
路聽聽聽聽聽聽 Ability to prioritize workload.
CERTIFICATIONS & LICENSES:
None
PHYSICAL REQUIREMENTS*:
路聽聽聽聽聽聽 Sitting in place at computer for long periods of time with extensive keyboarding/dexterity.
路聽聽聽聽聽聽 Occasionally use a telephone.
路聽聽聽聽聽聽 Rarely writing by hand.
* - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job.
WORKING CONDITIONS:
Some work may be performed in a laboratory or field setting.
Additional WORKING CONDITIONS: May work extended or non-standard hours based on project or business cycle needs.
The expected pay range for this position is $64,480 to $93,000 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location, and external market pay for comparable jobs.
Work Standards:
Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations.
Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned.
Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide,聽http://adminguide.stanford.edu.
Why Stanford is for YouImagine a world without search engines or social platforms. Consider lives saved through first-ever organ transplants and research to cure illnesses. Stanford University has revolutionized the way we live and enrich the world. Supporting this mission is our diverse and dedicated 17,000 staff. We seek talent driven to impact the future of our legacy. Our culture and聽unique perks聽empower you with:
Freedom to grow. We offer career development programs, tuition reimbursement, or audit a course. Join a TedTalk, film screening, or listen to a renowned author or global leader speak.
A caring culture. We provide superb retirement plans, generous time-off, and family care resources.
A healthier you. Climb our rock wall, or choose from hundreds of health or fitness classes at our world-class exercise facilities. We also provide excellent health care benefits.
Discovery and fun. Stroll through historic sculptures, trails, and museums.
Enviable resources. Enjoy free commuter programs, ridesharing incentives, discounts and more.
How to Apply:
We聽invite聽you聽to聽apply聽for聽this position聽by聽clicking聽on聽the聽鈥淎pply聽for聽Job鈥澛燽utton.聽To be聽considered,聽you聽must聽submit聽a聽cover聽letter聽and聽r茅sum茅 along聽with聽your聽online聽application.
路聽聽聽聽聽聽 Finalist must successfully complete a background check prior to working at Stanford University.
The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory for all duties, tasks, and responsibilities.聽 Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility.聽 Employees may also perform other duties as assigned.
Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.