Lead Analyst Data Science

Lead Analyst – Data Science, Analytics
About the Company
apree health – the new name for the joint Castlight Health and Vera Whole Health merger – is seeking an experienced healthcare data scientist to join our Analytics team.  apree health is a healthcare company entering an exciting new growth phase where we are adding new product offerings to our employer vertical, along with continued expansion into sectors such as health plans and the provider (clinical) side of healthcare.
About the Team
The Analytics team is a group of highly skilled analytic resources who work together toward a culture of data-driven decision-making across the organization.  Our team uses a diverse array of healthcare and product usage data to provide analytic insights that support the entire organization, including Customer Success, Product Management, Sales and Marketing, and most recently, direct patient-care teams delivering Advanced Primary Care.
We are a collaborative, flexible, and friendly team who get excited about data and analytics and the role they play in decision making. Our culture is one of teamwork, shared responsibility, mutual respect, and growth.  Our key day-to-day responsibilities include:
Performing claims and EMR-based analysis to quantify impact, value & ROI for our customers & the market; help drive and strengthen our value propositionDeveloping and maintaining business reporting and intelligence dashboards to convey the value of our product to Customers, and uncover actionable insights for our internal teams and customersDelivering ad hoc customer reporting requests; working to shape requests into meaningful & actionable dataEnsuring our data is augmented with cutting edge methodologies and algorithms to glean the maximum value from the data
We operate on a Google Cloud Platform and utilize technical tools that include: SQL/DataGrip/Bigquery, Tableau, Alembic/Terraform, Gitlab, Python, Airflow, Mixpanel, R Studio, and SAS.
About the Job
Our Analytics team is seeking a Lead Analyst – Data Science who will be responsible for designing and building analytic solutions and statistical foundations from complex and dynamic digital products and health informatics data.   The Lead Analyst will execute on critical projects supporting the company’s AOP (Annual Operating Plan) by creating and improving on analytic approaches that answer the company’s most pressing business questions. You’ll work shoulder to shoulder with product managers, clinical staff, data engineers, and other members of the Analytics organization to analyze patterns, visualize data in effective ways, and extract valuable insights to ensure the delivery of high-quality analyses to both internal and external customers.
This position requires experience working with rich, multi-faceted data that include medical and pharmacy claims, digital product user activity, and self-reported information, plus deep skills in analytic and statistical methods.   This team member will report directly to the Director/Sr. Manager of Analytics.
Business Role and Responsibilities:
Envision, create, and implement approaches to analyze healthcare data in innovative ways with the goal of understanding the “whole person” through a healthcare lensHelp create the analytic foundations to support a digitally-enabled primary care delivery systemDevelop statistical methods and models for assessing the impact of apree solutions on population healthDesign metrics and deliver insights pertaining to solution  performance and opportunities for improvementCollaborate with internal resources to design and build data/analytics solutions needed to address critical business questionsCommunicate complex quantitative analysis in a clear, precise, and actionable manner  Participate in stakeholder meetings and present data insights to users/executives in a succinct and effective way
Key Characteristics:
A natural “leader” who takes ownership of a challenge and sees it through to completionA problem-solver with a natural sense of curiosity, an analytic mindset, and a deep love of dataSelf-sufficient, ready to roll up your sleeves, and not afraid of ambiguityA detail-oriented individual who loves to create order out of chaosAble to work cross-functionally across many different stakeholder personasA strong communicator who effectively shares information at the appropriate level across a wide variety of audiencesA self-starter with a demonstrated track record of leading projects from idea to execution
Specific Requirements:
8+ years’ experience in a healthcare-based analytics roleMaster’s degree in a quantitative/analytic field or equivalent work experience5+ years experience working directly with administrative and/or clinical healthcare data (medical and pharmacy claims, EMR); familiarity with the standards and nuances of such dataExperience with product usage data desiredTechnical experience that includes strong SQL capabilities, Tableau or other BI tools, scripting languages, Gitlab, etc.Experience with statistical analysis methods ,modeling techniques, and tools (e.g. R, Python, SAS)Bonus: Knowledge of or experience supporting value-based care arrangements, experience with primary care delivery organizations

Benefits
Transforming healthcare isn’t easy. It takes hard work and dedication. That’s why we offer a highly competitive compensation and benefits package. Here are just a few of the benefits you’ll receive.
Competitive base payPremium medical, dental, vision coverage with health savings account (HSA) pre-tax savings optionAccess to Vera care center services, VeraDirect telehealth, health coachingMatching 401(k) retirement programGenerous PTO and paid holidaysContinuous learning and development, including medical education coverageWellness culture, team building and company events
If you reside in a state that is eligible to receive additional information about the compensation and benefits for this role, please send an email to recruiting@verawholehealth.com.


Lead Analyst Data Science Analytics


Data Science Intern Summer

CrowdStrike is a global leader in cybersecurity. Our University Program is dedicated to attracting and cultivating the next generation of talent in virtually every field. Our program offers paid positions that allow students and recent graduates to gain real-world experience and develop essential skills while they learn from the best and brightest working professionals. We offer our interns a structured program and supportive environment where they can ignite their passion for the future. Our University Program is designed to provide participants exposure to meaningful work that supports our mission to make the digital world a safer place to live and work. CrowdStrike is where your talent meets cutting-edge tech. Ready to start building a career you can be proud of? Join us!About CrowdStrikeCrowdStrike is a global leader in cybersecurity. Our University Program is dedicated to attracting and cultivating the next generation of talent in virtually every field. Our program offers competitively paying positions that allow students and recent graduates to gain real-world experience and develop essential skills while they learn from the best and brightest working professionals. We offer our interns a structured twelve- or ten-week program and supportive, collaborative virtual, in-person, and hybrid environments where they can ignite their passion for the future of technology. Our University Program is designed to provide participants with exposure to meaningful work that supports CrowdStrike’s mission to make the digital world a safer place to live and work. CrowdStrike is where your talent meets cutting-edge tech. Ready to start building a career you can be proud of? Join us!We are committed to fostering a culture of belonging where everyone feels seen, heard, valued for who they are and empowered to succeed. Our approach to cultivating a diverse, equitable, and inclusive culture is rooted in listening, learning and collective action. By embracing the diversity of our people, we achieve our best work and fuel innovation - generating the best possible outcomes for our customers and the communities they serve. We encourage all prospective candidates to apply if their background matches the expertise below.About the RoleCrowdStrike’s CTO Labs team works at the exciting intersection of Machine Learning, Big Data, and Security. We’re excited to renew our internship program this summer. You will have the opportunity to apply your computational, coding, mathematical and scientific research skills to solve cutting problems from a wide array of areas such as: New frontiers in Cybersecurity, AI for Go-to-Market, Threat Detection and Prevention, and End-to-End Automation. We are a diverse and multidisciplinary team, and you’ll have the chance to broaden your horizons by working jointly with a team of Big Data, Machine Learning, and Security domain experts on hard and impactful problems.What You'll Do
Work directly with Sr. Data Scientists, helping to create and automate predictive machine learning models
Hone your ability to balance detail-oriented research with goal-oriented business objectives
Implement and experiment with new algorithms and methodologies to help improve our machine learning models
Automate an visualize analyses, results and processes in our machine learning pipeline
What You’ll Need
Analytically minded with completed coursework in linear algebra and data science or an equivalent knowledge of applied mathematics
Experienced in writing python code to pre-process and analyze data to generate actionable insights
Hands on in your approach to understanding data and learning about new fields
Thirsty for knowledge and do not hesitate to step outside of your comfort zone to learn new technologies, algorithms and concepts
Comfortable with working in a Linux environment
Bonus points for coursework or previous experience in computer security.
A rising junior, senior, or graduate-level computer science, data science student or related field, graduating between December 2023- August 2024
  Example Projects
Analytically Mine large scale and high dimensional data, identify patterns, and visualize trends
Analyze cloud logs to identify user behavior that may pose risk
Design algorithms for vulnerability patch prioritization
Design algorithms to mitigate customer churn and identify upsell opportunities
Create predictive models using supervised learning techniques to detect and stop the most sophisticated threats
Innovate new semi-supervised and online learning techniques to enhance our threat detection capabilities and reduce nuisance false positives for our customers.
Work on cutting edge techniques to automate training of ML and AI models on large data
Summer Internship Program Experience Teaser
Remote-first culture
Executive Speaker Series & Tech Talks
Fun socials and give-back events (e.g. virtual trivia, escape rooms, Intern Spirit Week, etc.) occurring weekly
Development workshops to grow your soft and hard skills
Networking opportunities with fellow interns and CrowdStrikers
Owning impactful projects that move the company forward
Working alongside a diverse and global team
Assigned one-on-one mentor and continuous feedback
Participation in our Employee Resource Groups (ERGs)
Access to our FalconFit Wellness Program and Employee Assistance Program
Fun Slack channels (e.g. food, gaming, sports, pets, etc.)
Paid holidays, sick days, and 401k
Market leader in compensation
#LI-MP1 #LI-RemoteWhat You Can Expect:
Executive Speaker Series & Tech Talks
Fun socials and give-back events (e.g. virtual trivia, escape rooms, etc.)
Development workshops to grow your soft and hard skills
Networking opportunities with fellow interns and CrowdStrikers
Owning impactful projects that move the company forward
Working alongside a diverse and global team
Assigned mentor and continuous feedback
Participation in our Employee Resource Groups (ERGs)
Access to our FalconFit Wellness Program and Employee Assistance Program
Fun Slack channels (e.g. food, gaming, sports, pets, etc.)
Paid holidays and 401k matching
Remote-first culture
Market leader in compensation
We are committed to fostering a culture of belonging where everyone feels seen, heard, valued for who they are and empowered to succeed. Our approach to cultivating a diverse, equitable, and inclusive culture is rooted in listening, learning and collective action. By embracing the diversity of our people, we achieve our best work and fuel innovation - generating the best possible outcomes for our customers and the communities they serve.CrowdStrike is committed to maintaining an environment of Equal Opportunity and Affirmative Action. If you need reasonable accommodation to access the information provided on this website, please contact Recruiting@crowdstrike.com, for further assistance.CrowdStrike, Inc. is committed to fair and equitable compensation practices. For applicants in Ithaca - NY, New Jersey City - NJ, and Colorado, the hourly rate for this position is $40 - 45.CrowdStrike participates in the E-Verify program.                 Notice of E-Verify Participation                Right to Work


Data Scientist Insurance

So, what’s the role?
At Kin, we are modernizing and simplifying a 100-year-old industry through the use of data & technology. The data science team at Kin is a centralized department supporting the rest of the organization, including underwriting, claims, insurance product, operations, finance, and marketing. The Data Scientist, Insurance role will build machine learning and AI models to deliver value to all these business units and more. We want to hire someone with a diverse methodological skill set, who enjoys digging into data and using it to solve business problems, whatever they may be. Because we are building the team, there is ample opportunity for creative freedom and flexibility.
A day in the life could include:

Development of GLM and tree-based models to predict profitability of each insured.
Working with data engineering & business intelligence to develop modeling datasets, and contributing to the buildout of these data models
Build ensemble algorithms to predict customer retention & conversion
Automation of Kin’s direct mail strategy
Creation of a lifetime value model to prioritize marketing by person/property and marketing initiative
Researching advanced AI techniques to advance the industry, including building a computer vision model, and developing state of the art NLP models to interpret documents and assist in claims handling.
Ideating Machine Learning use cases with business partners; gathering requirements, testing feasibility, etc.

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

Bachelor’s degree or Masters in Machine Learning, Statistics, Mathematics, Computer Science, Economics, or a related field
Masters / PhD in a technical field preferred
Experience developing GLMs & tree-based models
2-5 years working experience developing ML models
Insurance experience preferred
Experience interfacing with business partners to define data science projects and solutions
Must have experience in applied mathematics or statistics
Experience in programming in Python and understanding of the software development life cycle
Excellent communication skills, both oral and written
Familiarity with natural language processing models a plus
Interest or experience in highly regulated and / or startup environment(s)
Passion for telling stories with data

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

Medical, Dental, Vision, Disability and Life Insurance
Flexible PTO policy
Remote work
Generous equity package
401K with company match
Parental leave
Continuing education and professional development
The excitement of joining a high-growth Insurtech company and seeing your work make an impact


Manager Data Science Machine Learning

At MyFitnessPal, our vision is to be the global catalyst for every “body” to achieve their healthy. We believe fitness starts with what you eat. We provide the tools and resources to reach your fitness goals.Our users rely on MyFitnessPal to power their health and fitness journeys every day. As a member of our MyFitnessPal Data Platform team, you’ll have the opportunity to positively impact those users by supporting the teams that build and maintain the backend systems that drive the MyFitnessPal ecosystem. In addition to technical expertise, you’ll find that your teammates value collaboration, mentorship, and inclusive environments.
The Manager, Data Science and Machine Learning is responsible for building and leading a team of talented data scientists and machine learning engineers. This new team will be responsible for design, delivery and maintenance of a new machine learning platform that will support multiple business purposes and application features. To thrive in this role, you will execute well in an agile environment where we’ll depend on you to make pragmatic decisions, establish and use tight feedback loops, and take calculated risks based on your knowledge from collaborating with your peers. You’ve led teams before—either with direct reports or as a technical lead—and are comfortable delivering and receiving feedback with trust and candor. You know that your success is dependent on the success of your team, and you’re committed to coach and serve a team of experienced engineers.
Our diverse team of technologists builds and maintains native mobile applications, a web application, the world’s largest nutrition database, constantly evolving data science and AI/ML assets, the backend infrastructure and data platform required to support these applications and databases, as well as the business systems and data required to manage an awesome company.
Technologies and languages we work with include: Airflow, Amazon RDS, MySQL, Snowflake, Databricks, Elasticsearch, Scala, Python, SQL, Segment, Amplitude, Branch, Kubernetes, Docker, Okta. We care more about your general engineering skill than your knowledge of a specific language and or framework.

What you’ll be doing:

Promote the professional growth and happiness of teammates through mentorship, coaching, and encouraging positive, fearless, and trust-based collaboration
Develop strong working relationships with partners in product management, product engineering, data engineering, data operations, platform engineering, PMO, business intelligence, HR and Finance
Be a hands-on leader of data scientists and ML engineers responsible for the design, build and maintenance of ML models that drive a personalized experience throughout the MyFitnessPal user journey
Evaluate and improve existing systems to provide more robust solutions that allow others to move quickly and efficiently
Partner with product engineering, data engineers, and data operations to ensure the team adopts best practices for code development, DataOps/MLOps, testing, data quality, and quality assurance
Support resolution of production issues with ML model-driven production features
Work with our engineering, data science, product and leadership teams in support of MyFitnessPal to solve critical user problems. This is a broad surface area and uses a variety of technologies
Hold others accountable while demonstrating integrity and compassion
Enjoy jumping in and contributing to codebase as a hands-on member of the data science team
Live our core values in all you do:

Be Kind and Care
Live Good Health
Be Data-Inspired
Champion Change
Leave it Better than You Found It
Make It Happen

Qualifications to be successful in this role:

4-6 years of experience with at least 2 + years as a lead or manager of multiple data scientists or ML engineers
Experience working and innovating on a centralized Machine Learning platform supporting multiple production features / models.
A high degree of technical understanding to be able to closely collaborate with engineers and ML practitioners and being additive in strategic discussions about MFP’s future product offering
Demonstrated leadership experience working effectively with engineers, data scientists, ML practitioners, other Product Managers, etc
Excellent written communication skills and ability to present technical content to non-technical audiences. Ability to partner with different functions to ensure that your solutions drive real business impact
Strategic thinking and ability to incorporate larger business context into algorithm and product development
Help other teammates grow through mentorship and coaching
Have a solid understanding of what it takes to build production ML-models used in consumer applications
You likely have a degree in Computer Science or similar field, or equivalent real-world experience

Please consider applying even if you don’t meet 100% of the qualifications. Research shows you can still be considered for a position if you meet some of the requirements. At MyFitnessPal, we’re building a fitness product for everyone and believe our team should reflect that. We encourage people of different backgrounds, experiences, abilities, and perspectives to apply.


Senior Data Scientist Growth Marketing

Advertising is Reddit’s primary revenue driver and we have an ambitious goal to turn it into a massive business. Although several large digital ad platforms already exist, advertisers are being increasingly drawn to Reddit because of our passionate communities. We believe our community-centric platform has created the opportunity for Reddit to build a highly differentiated ads business.
We are looking for a results-oriented and strategically minded Data Scientist to work with our Growth Marketing team to help us accelerate our advertiser growth and understand our paid marketing efforts. This role will partner closely with several cross-functional partners such as the business marketing team and the ads product team to analyze the effectiveness of marketing programs.
Reddit is continuing to grow our teams with the best talent. We're completely remote friendly and will continue to be after the pandemic.
If helping Reddit’s advertising business reach the next level excites you, then you’ve found the right place.  We’re a company with one of the highest employee : user ratios in the industry, giving you a tremendous opportunity for both scope & impact.
Responsibilities:

Work closely with cross-functional teams such as product, marketing, and business development to model, analyze and influence the impact of multiple marketing tactics
Develop dashboards to analyze marketing spend performance and return on investment
Drive research investigations to understand the behavior of advertisers acquired through different paid marketing channels
Develop an advertiser segmentation to help us understand how to better quantify customer needs and workflows
Stand up lifetime value models to estimate the value of advertisers acquired through paid marketing
Conduct in-depth post-campaign analysis or set up experiments to help the team understand performance and opportunities for improved targeting.
Be an integral part of the Data Org (consisting of Data Science, Data Engineering, Experimentation, and Core ML), leveraging and contributing to the vibrant knowledge base, shared across a community of world-class data experts.

Required Qualifications:

4+ years of experience in quantitative analytical roles, preferably for an ads marketing team
Proficiency with relational database (e.g., SQL)
Familiarity with statistical analysis and programming languages (e.g., R / Python)
Results-oriented with a strong customer and business focus
Entrepreneurial and self-directed, demonstrated ability to innovate and bias toward action in fast-paced environments.
Ability to communicate and discuss complex topics with technical and non-technical audiences
Ability to tackle ambiguous and undefined problems

Benefits:

Comprehensive Health benefits
401k Matching
Workspace benefits for your home office
Personal & Professional development funds
Family Planning Support
Flexible Vacation & Reddit Global Days Off
4+ months paid Parental Leave
Paid Volunteer time off

Pay Transparency:
This job posting may span more than one career level.
In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/.
To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.
 The base pay range for this position is: $183,000 - $275,300

#LI-Remote


Principal Data Scientist

About the role:
As the Principal Data Scientist at Trellis, you’ll lay the foundation for a world class data science team. You’ll use our troves of data to optimize the experiences we offer to consumers and help unlock the value of their insurance data. Ultimately, you’ll help turn our data into accurate predictions, strategic insights, and user value.
Tasks will include:

Building and managing a roadmap of valuable data science projects aligned with our strategy
Building prediction models from our wide array of data sources
Developing hypotheses and proposing experiments to improve our products
Owning data science projects from conception to deployment, in concert with our product, design, and engineering teams
Uncovering insights that drive business strategy and decision making

You should have:

4-5+ years of experience in data science, ideally in roles that deployed working models to production systems for consumer experiences
Track record of success leading initiatives that drove user value
Strong SQL skills
Fluent in R, Python, and/or other languages used in data science
Communication ability: polished written documents that explain complex concepts to internal stakeholders
Ownership mentality: willing to do whatever it takes to create value from your work
Experience in insurtech/fintech is a plus


Senior Data Scientist

Description
Growth Analytics & AI within Humana is dedicated to transforming members’ journeys and Humana’s services using technology and analytics. We are looking for a Senior Data Scientist who will design studies and utilize cutting-edge predictive modeling techniques, test rigorous hypotheses, and turn data and insights into actionable plans. Being part of a talented team of Data Scientists with broad skills and applications, the Senior Data Scientist will work cross-functionally and collaboratively with teams across the enterprise through innovative machine learning, R&D, and cutting-edge platforms. The scope of our work includes forecasting, predictive modeling, designing business experiments, and ROI studies. The ideal candidate will have hands-on experience with healthcare data, demonstrated
Read more about this job


Senior Nlp Data Scientist

Description
Humana is seeking a Senior Data Scientist who has strong experience with Natural Language Processing (NLP). The ideal candidate will have experience developing NLP models with transformer architecture and preferably have experience with Hugging Face. Additionally, the ideal candidate will have experience with topic modeling and/or sentiment analysis.
This is your opportunity to join our Fortune #40, Best Places to Work company and help us make a difference as we help our members achieve their best health!
Responsibilities
The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data
Read more about this job


Manager Data Science

Description
Humana’s Provider Payment Integrity organization is looking for an experienced Data Science Manager to join the Claims Cost Management (CCM) Solutions Support team working from home anywhere in the US. This dedicated team is focused on building data-driven analytical solutions to prevent fraudulent claims.
Responsibilities
The Data Science Manager within Provider Payment Integrity will utilize their leadership skills and improvement process experience to lead a remote team of 6 highly skilled associates that are located throughout the country. This team will consists of Data Scientist, Cognitive/Machine Learning Professionals and a Database Engineer. This Manager will be experienced and knowledgeable in mathematics, statistics, modeling, business analysis
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Director Of Data Science Expansion

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.Job CategoryProducts and TechnologyJob DetailsOur Research & Analytics team is hiring a Director of Data Science to oversee our efforts in multiple key product areas! This role’s largest component will be working with the Expansion product team. The Expansion product team is a cross-functional team that is focused on the growth of the Slack self-service business. They drive Slack’s growth by streamlining and improving key aspects of the customer journey: creating and joining teams, invites, in-product education, awareness of paid features, trials, discounts, purchasing, and billing.You will work cross-functionally with product, design, and engineering as a member of our Expansion leadership group. Your team will be responsible for delivering data and insights to drive strategy, decision making, and execution. You will also work closely with other leaders on Research & Analytics to drive operational excellence across the entire organization.What you will be doing
Build, lead, and mentor a high-performing team of analysts
Drive the strategy for product analytics support for multiple product pillars
Ensure the delivery of high quality work by providing technical guidance, implementing standard approaches, and generally providing on-going feedback
Partner closely with Product, Engineering, and Design leadership to drive impact throughout the product development process with research and data
Ensure alignment with partner teams by fostering a collaborative and transparent working model
Advocate for the team and represent their needs and challenges with cross-functional leadership
Partner closely with our Product leadership team to influence goals, strategy, and product direction
Work closely with Research and Analytics leadership to answer important questions about our customers, our product, and the business
What you should have
8+ years of professional experience working in data science and analytics
2+ years of experience in a management role
Experience leading and growing a high-performing product analytics and data science team
Comfort providing technical feedback and guidance for broad sets of data projects
A consistent record of using data to help product teams to achieve goals
Experience leading and collaborating with diverse teams in a dynamic, rapid growth environment
Ability to communicate effectively with managers and executives
A nuanced understanding of inclusive hiring practices
Comfort with ambiguity and grace under pressure
Excellent written and verbal communication skills
AccommodationsIf you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form.Posting StatementAt Salesforce we believe that the business of business is to improve the state of our world. Each of us has a responsibility to drive Equality in our communities and workplaces. We are committed to creating a workforce that reflects society through inclusive programs and initiatives such as equal pay, employee resource groups, inclusive benefits, and more. Learn more about Equality at Salesforce and explore our benefits.Salesforce, Inc. and Salesforce.org are Equal Employment Opportunity and Affirmative Action Employers. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Salesforce, Inc. and Salesforce.org do not accept unsolicited headhunter and agency resumes. Salesforce, Inc. and Salesforce.org will not pay any third-party agency or company that does not have a signed agreement with Salesforce, Inc. or Salesforce.org.Salesforce welcomes all.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.For Colorado-based roles, the base salary hiring range for this position is $175,600 to $254,700.For New York-based roles, the base salary hiring range for this position is $193,200 to $305,600.For California-based roles, the base salary hiring range for this position is $193,200 to $305,600.For Washington-based roles, the base salary hiring range for this position is $175,600 to $280,200.Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience.Certain roles may be eligible for incentive compensation, equity, and benefits. More details about our company benefits can be found at the following link: https://www.salesforcebenefits.com.


Trading Analytics Manager Data Scientist

Company Description
Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and enterprise clients. This position is 100% Remote
Swish Analytics is looking for a hands-on Trading Analytics Manager to join our ever-growing team! Data Science is at the core of our business, so this team has true ownership and impact over developing core components of Swish's data products.
Duties:

Work with a team of data professionals to execute on the following deliverables:

Apply statistics and data modeling to gain actionable business insights for Trading and Data Science Teams.
Own the end-to-end data pipeline that will be used for extracting, managing, and analyzing customer data from multiple sources.
Develop algorithms to provide automated trading suggestions that maximize margin and minimize risk.
Communicate and track key performance metrics across Trading and Data Science.
Manage cross-functional efforts, review their performance, and manage schedules.
Mentor others on the team while owning independent deliverables.
Develop and generate reports of findings and present these to senior management.

Requirements:

Prior Data Science or Data Analytics experience in sports betting, sports analytics, pro sports, or similar environment

Master’s Degree/PhD in Statistics, Mathematics, Computer Science or related STEM Field
5+ years of financial risk management modeling (sports betting, hedge fund management, options trading, securities trading, etc)
Advanced level skills in Python to ingest, clean, model and visualize data
Understanding of the sports betting marketplace or experience analyzing sports data
Proven ability to train/mentor team members in utilizing best practices for software development as well as data science implementations
Experience using visualization tools (plotly, Tableau, etc)
Experience using Git (or other version control systems) in a collaborative environment with other developers
Experience in developing or helping design (in collaboration with data engineers) ETL processes that are used to generate cleaned and processed data as input for data science modeling or analysis
Writing complex SQL queries to efficiently retrieve data from relational databases (e.g. MySQL, Postgres)

Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic, military, veteran status, marital status, or any other characteristic protected by law. The position responsibilities are not limited to the responsibilities outlined above and are subject to change. At the employer’s discretion, this position may require successful completion of background and reference checks.


Data Scientist

Our crypto wallet is used by millions of people to access web3 apps and financial services. As our first dedicated data science hire at Phantom, you’ll be helping our product, design, engineering, and operations teams making data-driven decisions. This is a unique opportunity where you'll influence strategic product and infrastructure decisions as we bridge the gap between the blockchain and the delightful experience our users have come to expect.
This role is fully remote; however, we’re only open to candidates based in US and EU time zones. Currently Phantom cannot support employees from the following countries and continents: Russia, Pakistan, Ukraine, Asia, Oceania, and Africa.
Responsibilities

Empower the company with data - Generate and communicate data-driven insights to influence product and business decisions.

Develop metrics and experiments - Understand our growth and measure the impact of product and operational changes.

Drive infrastructure decisions - Identify and build for the data needs of our company that will drive company impact while aligning with our commitment to user privacy.

Work collaboratively - As a member of Growth team, contribute to the company roadmap by working with stakeholders across Product, Design, Engineering, Operations.

Qualifications

5+ years working in product-driven organizations and driving decision-making.
Demonstrated track record of identifying, scoping and leading complex data science projects with cross-functional partners and high business impact.
Experience analyzing, cleaning, and preparing reports on large, diverse data sets.
Experience with experiment design and funnel analysis with an understanding of statistical concepts such as selection bias, probability distributions, and conditional probabilities.
Mastery of SQL and familiarity with R and/or Python for analysis and model-building.
Nice-to-have: Professional experience with data sets in crypto, NFTs and DeFi.

Why Work with Us
Opportunity
We are a team of experienced builders with a ton of traction in a big and growing market – our users are so passionate they were hacking their way into our private beta. Only months after launching we've acquired millions of users, and are adding hundreds of thousands every week. We are by far the leading wallet on Solana, and plan to expand to other chains soon.
On top of that, there has never been a better time to work in crypto and on wallets in particular.

Wallets play a pivotal role: Wallets are responsible for on-boarding new users into crypto, and can make or break the user experience.

We are moving to a multi-chain world: New blockchains and scaling solutions are coming online and gaining traction, but are lacking decent wallets and bridges.

DeFi & NFTs are exploding : Interest in DeFi and NFTs has exploded, yet they are still an after-thought in existing wallets.

Benefits

Competitive salary and equity.
Comprehensive insurance (medical/dental/vision) — 100% covered.
Stipend for your ideal remote / WFH set-up: laptop, headphones, and any other work gear you may need.
Flexible hours and a long-standing, supportive remote environment.
Monthly co-working space and mobile phone expense.
Unlimited vacation: Take time when you need it (and we really mean it).
401(k) retirement plan (although we are not matching at this time)
Wellness benefit
Daily lunch benefit

The target base salary for this role will range between $x to $y with the addition of equity and benefits. This is determined by a few factors including your skillset, prior relevant experience, quality of interviews and market factors (such as location) at the point in time of offer.


Senior Data Scientist Ads Quality Analytics

Location: Remote-friendly
Reddit is continuing to grow our teams with the best talent. This role is completely remote friendly and will continue to be after the pandemic.
We are looking for a Senior Data Scientist to work within the Ads Data Science team. You will work closely with engineers and product owners from our Ads team to 1) optimize ads delivery and auction systems, 2) shape product roadmap and strategy of ads quality and relevance. This person has a solid business acumen and knows what is important to advertisers and users (i.e. redditors). In addition, this person needs to demonstrate strong cross-functional stakeholders management capabilities.
Responsibilities:

Research, design and develop contextual ad relevance measurements. Reddit ad is a combination of text, image, user and ad engagement attributes. You will use modern statistical models to combine those signals and develop measures for ad quality.
You will design metrics and experiments to understand marketplace tradeoffs between user engagement and ad quality, as well as measure long term user impact of ad quality. You will develop models that would optimize both ad quality and ad delivery.
Serve as a thought-partner for product managers, engineering managers and leadership in shaping the monetization roadmap and strategy for Reddit by identifying actionable and impactful insights through deep-dive analyses and analytics insights.

Required Qualifications:

Relevant experiences in ads marketplace.
Ph.D., M.S. or Bachelors degree in Statistics, Machine Learning, Economics, Computer Science, or other quantitative fields (If M.S. degree, a minimum of 1+ years of industry data science experience required and if Bachelor’s degree, a minimum of 2+ years of industry data science experience).
Deep understanding of online experimentation and causal inference.
Strong analytical and communication skills.
Proficiency in machine learning, statistical modeling, and optimization.
Strong skills in SQL and programming (Python or R).

Benefits:

Comprehensive Health benefits
401k Matching
Workspace benefits for your home office
Personal & Professional development funds
Family Planning Support
Flexible Vacation & Reddit Global Days Off
4+ months paid Parental Leave
Paid Volunteer time off

Pay Transparency:
This job posting may span more than one career level.
In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/.
To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.
The base pay range for this position is: $183,500 - $275,300.
#LI-Remote #LI-NH1


Senior Data Scientist Ads Platform Analytics

Location: US Remote-friendly
Reddit is continuing to grow our teams with the best talent. This role is completely remote friendly and will continue to be after the pandemic.
Advertising is Reddit’s primary revenue driver and we have an ambitious goal to turn it into a massive business. Although several large digital ad platforms already exist, advertisers are being increasingly drawn to Reddit because of our passionate communities. We believe our community-centric platform has created the opportunity for Reddit to build a highly differentiated ads business.
We are looking for a results-oriented and strategically minded Product Data Scientist to work with our Ads Platform product team on launching new products to improve the Advertiser experience creating & managing campaigns on Reddit . You will partner closely with cross functional team members such as Product Managers, Engineers, Designers, etc. in utilizing data to drive product strategy and unlock novel ways to improve the advertiser experience.
If helping Reddit’s advertising business reach the next level excites you, then you’ve found the right place.  We’re a company with one of the highest employee : user ratios in the industry, giving you a tremendous opportunity for both scope & impact.
How You’ll Have Impact:

Partner with the product engineering team working on the Ads Platform. Providing thought partnership on products like the Reddit ads manager, advertiser API, & advertiser onboarding.
Collaborate with product teams on all aspects of development - everything from product ideation to experiment analysis to KPI reporting
Drive product-oriented research projects to identify new opportunities for the Ads Platform team to pursue
Organize data by designing table schemas, data pipelines, aggregations, alerts and general data infrastructure for the ads organization.
Be an integral part of the Data Org (consisting of Data Science, Data Engineering, Experimentation, and Core ML), leveraging and contributing to the vibrant knowledge base, shared across a community of world-class data experts.

Responsibilities:

Act as an owner by partnering with the Ads Platform team on product development
Become an expert on the advertiser experience at Reddit - designing & analyzing experiments to test improvements to our platform
Build KPI reporting & ETLs to track the performance of Reddit’s Ads Platform team
Learn how Advertisers interact with the Reddit platform and research how their experience could be improved
Collaborate with Product Marketing Managers to develop go to market strategies and drive product adoption
Partner with the Ads Engineering team to understand new data & schemas and ensure the data we log in new products is accurate

Required Qualifications:

4+ years of experience in data analytics or related quantitative role
Influence and guide product strategy with data
Able to take ambiguous problems and solve them in a structured, hypothesis-driven, data-supported way
Desire to mentor other data scientists and share best practices to elevate the data science practice at Reddit
Strong ability to communicate and discuss complex topics with technical & non-technical audiences
Proficiency with relational database (e.g., SQL) and statistical analysis/programming languages (e.g., R / Python)
Proficiency with dashboarding tools (e.g. Mode Analytics, Tableau, Looker)
Experience in online advertising & ads marketplaces

Benefits:

Comprehensive Health benefits
401k Matching
Workspace benefits for your home office
Personal & Professional development funds
Family Planning Support
Flexible Vacation & Reddit Global Days Off
4+ months paid Parental Leave
Paid Volunteer time off

Pay Transparency:
This job posting may span more than one career level.
In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/.
To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.
The base pay range for this position is: $183,500 - $275,300.
#LI-Remote #LI-NH1


Data Scientist

About the Role:
Planet is seeking an entrepreneurial Data Scientist to join our Data team. The team is responsible for bringing best-in-class data products to Planeteers as we look to achieve our North Star over the next decade and enable every Planeteer to measure the impact of their work towards our triple-bottom-line (planet, people, profit). This key contributor will play a critical role in shaping the team’s technical direction to guide Planet’s product, technology, and business teams. Core responsibilities will be focused on data mining, metric development, causal inference, and delivering quantitative insights to influence product & business strategy.
Impact You’ll Own:

Drive the full data science lifecycle–from exploratory data mining, problem definition, experimental design and instrumentation to data conditioning, analysis, and storytelling–uncovering actionable insights on Planet’s customers, products, and platform in terabytes of data
Partner with cross-functional teams worldwide from Product, Engineering, and Design using data to better understand and optimize the customer experience
Catalyze innovation by translating business requirements into data products (e.g. automated KPI reporting, customer segmentation analyses, dynamic pricing models) that play a critical role in helping us build our Earth Data Platform

What You Bring:

2-3+ years of experience in data science supporting commercial or government software products
Excellent skills in problem formulation, metrics definition, ETL/ELT pipelines, statistical methods, and data visualization
Development background using Python, SQL, DBT, Git, and cloud-based platforms, like Google Cloud Platform or Amazon Web Services, to store and analyze data
Passion for Planet’s mission to use space to help life on Earth

What Makes You Stand Out:

Experience refactoring large (> TB), disparate, poor-quality datasets
Background writing production code or MLOps
Domain expertise in remote sensing, geospatial information systems, or product analytics
Professional examples where you used data to influence business decisions that generated customer value
History with world-class data teams working in a fast-paced, customer-centric culture
Demonstrated success collaborating across global time zones in a hybrid work environment
Proven record of problem solving and overcoming ambiguity with minimal direction
Ability to communicate effectively to technical and non-technical audiences
Desire to learn quickly
Curiosity, creativity, and collegiality!

Benefits While Working at Planet:

Additional company winter holidays and regular global days off
Remote friendly work environment and flexible working hours
Contribution to our growth by offering equity options for employees
Giving back to the community - one day per quarter for charitable work
Learning and Tuition Reimbursement
Regular hack-weeks and meetup events to exchange knowledge
Home office budget
Employee Resource Groups providing empowering spaces for connection and mentorship

#LI-NB1
#LI-REMOTE


Product Data Science Manager

(This role is fully remote for candidates located in British Columbia.)
Rec Room is the best place to build and play games together. Users can chat, hang out, explore MILLIONS of rooms, or build something new to share with the world! Rec Room aims to be the best place for game creators to come and build immersive experiences, and we’re looking for someone to help us achieve that vision.
As the Data Science Manager of the User Generated Content (UGC) team, you’ll be working on our most significant strategic initiative at the company. We want to enable creators to build high-quality rooms that get users coming back, and we want to provide players with whichever type of game they’re interested in. You’ll define the UGC DS research roadmap, partnering with the team leads to help shape our longer-term strategy and achieve these goals. You’ll drive our understanding around how we’re improving game quality, how we can better connect our creators with our users, and how to improve the tooling needed to build more engaging games.
WHAT YOU'LL DO:

Support data scientists focused on UGC across multiple teams, including the Maker Pen team, Logic & Circuits team, UGC Foundations, and Creator Academy.
Partner with designers and engineers to define the DS research and understand the roadmap that can best inform short and long-term product strategy.
Work with team leads on integrating A/B testing as part of the product development cycle
Land some IC contributions, focusing on driving larger strategic projects to completion
Define best practices and support and grow a high-quality, high-impact team

WE ARE LOOKING FOR INDIVIDUALS WITH THE FOLLOWING:

5+ years of product analytics experience, with substantial experience as a senior or principal IC in a user-facing product company
2+ years of experience in a management or tech lead role
A track record of high-impact analyses that have led to strategic direction & product impact
Deep familiarity with A/B testing
Have a high level of proficiency in SQL (aggregate functions, window functions, complex joins, CTE)
Working knowledge of R/python
Ability to communicate effectively with audiences of various technical and non-technical backgrounds

COMPANY INFO TO KNOW:
Rec Room offers generous medical, dental, and vision plans that cover you, your spouse/domestic partner, and children. We also support your retirement benefits with a company match. Rec Room values work-life balance by providing unlimited paid time off. Our company values are real and drive our culture. We work hard to be a safe and friendly place for people from all walks of life.
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.

Applicants who are in need of a reasonable accommodation for any part of the application process may contact, in confidence, accessibilityrequest.hr@recroom.com. Rec Room will work with each individual to define their application-related needs and to try to accommodate those needs.
Applicants can find our CCPA disclosure notice here.


Senior Analyst Analytics And Data Science

As the Senior Analyst for EverQuote's Analytics and Data Science teams, you will help thousands of partners to assist millions of consumers protect their most valuable assets. You will formulate data-driven strategies for optimization and growth across all verticals and products by enabling teams to take advantage of best-in-class technology. You will be a significant driver of strategic, transformative growth for EverQuote overall, design and operationalize an industry-leading consumer experience, and support the successful growth of our insurance partners.
The Analytics and Data Science team’s mission is to enhance, empower, and accelerate decision-making through delivering best-in-class quantitative and qualitative data analysis and insights that dramatically improves the consumer, insurance agent, and insurance carrier experience.
What You’ll Be Doing:

Work cross-functionally with EverQuote’s internal stakeholders and serve as a primary program manager for all things analytics
Monitor, assess, and continually improve key performance metrics for partners by creating novel value-add work streams
Launch  growth and quality improvement projects and communicate results/insights to both the Senior Leadership Team and functional leads
Break down large, complex problems into systematic, easily understandable outputs  to deliver projects and results on time
Maintain efficiency, accuracy, and transparency across data collection, model implementation and result analysis
Possess a continuous learner and continuous improvement mindset

What You'll Need:

2+ years of Data Analyst experience tackling business problems using data-driven approaches and presenting to business and technical stakeholders.
Experience with technical project/program management at a Technology company is a plus
Experience running projects involving multiple stakeholders in a cross-functional fast-paced environment
Previous experience using large data sets and statistical models to drive business impact
Strong data analysis and statistical skills skills, expertise in SQL, Python, Tableau, Excel, A/B testing
Proven ability to think strategically and execute solutions to address both defined and undefined problems
Excellent communication skills across all levels of an organization

We get it. Requirements can sometimes hold people back from applying to a job, but don’t let that be the case here. If you believe you have the skills it takes to elevate this role, team, and company, we encourage you to apply for this role.
About Us:
EverQuote (Nasdaq: EVER) operates the largest online marketplace for insurance shopping in the United States. We make insurance shopping easy, efficient and personal, saving consumers and providers time and money. Our goal is to reshape the way consumers shop and improve the way insurance providers attract and connect with customers as insurance shopping continues to shift online.
EverQuote is committed to building an equitable, diverse and inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, marital status, national origin, genetics, disability, age, or veteran status.


Data Science Manager

Hi from Pumpkin!
Pumpkin is a pet care company on a mission to help make ‘the best pet care possible fur all’. We want to revolutionize pet healthcare by making it easier for families to provide their pets with the wellness and medical care they need throughout their lives. Launched by Zoetis (ZTS), a Fortune 500 company that’s the world’s largest animal health company, Pumpkin is an early-stage startup with big dreams! As a pack, we share agility, guts, collaboration, and a relentless pursuit in creating a healthier, happier world for pets and their people.

Pumpkin is looking for an innovative and highly analytical individual with strong insurance experience to join our team as a Data Science Manager. In this role, you’ll focus on the research and development of new predictive models and new analytical techniques related to insurance pure premiums, pet lifetime insurance journey, claims and pet/owner behaviors. Leveraging internal and external data, the models you develop will support ratemaking, economic analysis, competitive positioning and underwriting. This is an exciting opportunity to work as a foundational member of our underwriting team where you will have a tangible impact in helping pets and pet parents!

This role is a remote for those outside of a commutable distance of the New York City office. Some travel will be required. Individuals located in the NYC area will be considered hybrid, with a requirement of 2 days a week in the office.

What You'll Do:

Use statistical and predictive modeling techniques including machine learning, probability networks, association rules, clustering, principal component analysis, generalized linear modeling, time series and decision trees; working with neural networks and their application to derive business recommendations.
Participate in special projects requiring advanced quantitative expertise.
Ensures project controls are in place throughout the lifecycle of the project to comply with stringent regulatory requirements and utilizes effective project planning to ensure deadlines are kept.
Collaborates with upper management to assess the potential effects of proposed solutions and incorporates these considerations into recommendations.
Leverage relationships with internal and external partners to drive ongoing improvements to the data and data architecture.
Lead the preparation of internal/external, structured/unstructured data sets to build/rebuild/refresh predictive models.
Performing data cleaning and validation including identifying outliers, exceptions and inconsistencies; performing data quality control and visualization.
 Partner closely with Engineering, Data and IT, along with numerous stakeholders across the company to ensure seamless implementation of new models.

What We're Looking For:

Position requires a Master’s degree, PhD , or foreign equivalent, in Statistics, Mathematics, or a closely related field of study.
3+ years of experience developing and implement multivariate predictive models using Generalized Linear Modeling (GLM) and other statistical methods.
Programming experience with SAS, C++, SQL, R or Python.
Focused discipline on model validation and model improvement rigor.
Strong business intuition and analytical skills with a solid understanding of complex insurance loss cost concepts.
Excellent communications skills, both verbal and written.
Ability to provide written and oral interpretations of highly specialized terms and data, and the ability to present this data to others with different levels of expertise.
Strong attention to detail, focus on data controls, approvals, authorizations and documentation.

Bonus Points:

Experience with state Insurance Department regulatory filings and requirements.
Working with VBA programming; programming and use of database tools such as, Tableau, and Power BI.
Experience in working with implementations of TensorFlow, Neural Networks, NLP.
Experience with cloud platforms such as AWS or other serverless environments.

Benefits and Perks:

Comprehensive contributions to medical, dental and vision for colleagues and dependents.
Generous PTO and Paid Holidays.
401k with company match.
Pumpkin Insurance and preventative care for every pet in your family.
The opportunity to join a team where every team member has the autonomy and support they need to boss their role and make empowered decisions.
Pet Friendly Offices, Stocked Kitchens, Team Workouts, Team Outings and much more!

The compensation for this position ranges from $140,000-$175,000 (annually). Compensation may vary outside the listed range, based on a number of factors including but not limited to location, qualifications, performance, skills and experience. The compensation range listed is just one component of Pumpkin’s total compensation package for employees. Total compensation packages, depending on the position, may also include incentive compensation, discretionary bonuses, and other short or long-term incentives. If hired, employees will be in an ‘at-will position’ and Pumpkin reserves the right to modify compensation (as well as any other discretionary payment or benefit program) at any time, including for reasons related to individual performance, company or individual department/team performance, and market factors.

Newly hired staff must be fully vaccinated by their start date.  Applicants unable to comply with this policy due to an underlying medical condition or sincerely held religious belief may be eligible for an accommodation, unless such an accommodation would be unduly burdensome or present a direct threat to the applicant, our employees, or the members of our greater community.

Pumpkin is proud to be an affirmative action and equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or any other characteristic protected by federal, state or local laws.


Senior Applied Data Scientist Media Mix

What we do
At Civis Analytics, we bring objective, data-driven truth to organizational decision-making—from the boardroom to the world’s largest progressive social causes.
This mission isn’t an aspiration: it’s something we see realized every day, and it brings purpose to everything we’re working on.
We combine a sophisticated SaaS product with our specialized data science consultancy to empower tens of thousands of active users to make millions of data-driven decisions every month. From joining disparate data sources and automating reporting, to building more elaborate models of targeted audiences and optimizing messages for them, organizations like the Bill and Melinda Gates Foundation, the City of Boston, and iHeart Radio trust Civis’s technology to make their most critical decisions.
Core to our product and consulting offerings is Civis Platform, which makes it easy to import, manage, transform, analyze, and report on data. Our customers love Civis Platform because it empowers them to focus on finding data-driven answers to their most critical questions—in other words, we empower them to run their business, rather than running a tech stack.
Learn more about Civis at www.civisanalytics.com.
All employees either must be fully vaccinated against COVID-19, initiate vaccination before your start date, or file an exemption request prior to start date per company policy for review. Due to the uncertainty of COVID-19, all Civis offices are closed and employees are remote until further notice. This is being closely monitored as the situation evolves. Although it’s likely our offices will reopen, positions hired outside of Civis office locations will be remote roles.
Job Description
Are you interested in using data science to solve new and challenging problems in innovative ways — like helping a media conglomerate measure the impact of their marketing and advertising campaigns to optimize investments across a wide range of media channels? Civis Analytics is looking for a Sr. Applied Data Scientist to join our commercial Applied Data Science (ADS) practice and help us solve some of the most challenging and interesting questions facing Media businesses today.
The Applied Data Science team is the advisory arm of Civis Analytics, working closely with organizations to help solve their toughest challenges with data science. Our Media sector practice provides data science solutions for media conglomerates, nonprofits, and advocacy groups seeking to leverage media-mix-modeling to reach their target audiences in the most effective way.
Responsibilities

A Senior ADS runs the end-to-end execution of client engagements utilizing data science, which includes:

Handling client relationships and communication on day-to-day projects and initiatives, with stakeholders of varying technical experience or familiarity with methods
Leading and structuring project research design, including statistical analysis, modeling techniques, and data management methods, and working with cross-functional teams of data scientists and software engineers where necessary to create and implement solutions
Managing the unification of large 1st- and 3rd-party datasets, and building predictive models
Translating findings into clear, actionable, and timely insights with the appropriate business context

As part of the Media sector practice:

Work closely with Applied Data Science teams to develop performance measurement reporting and media mix modeling to demonstrate the impact of cross channel activities through media

Influence and collaborate on channel-level media strategies based on marketing, audience, and consumer insights.

Collaborates with stakeholders and leadership to ensure that the most effective channel mix is implemented to achieve our customer’s strategic business priorities

Other job responsibilities include:

Creatively identifying opportunities in the solution delivery process for scalable applications, and collaborating with other teams to further construct these tools
Assisting with new business development by scoping projects, writing proposals, and building case studies and other collateral
Maintaining a continuous and independent education of cutting-edge statistical techniques and programming languages
Teaching and mentoring more junior Applied Data Scientists

Qualifications

Bachelor’s degree in an analytical subject (statistics, math, economics, physics, engineering, business, political or social science, computer science, etc.)
6+ years of work or post-graduate experience in a field of analytical science
Proven success in using data insights and analytics to inform audiences, markets, and targeting to optimize campaign performance and drive acquisition
Understanding of online and offline media planning to define and rationalize the best channel mix to maximize the reach and impact against different audiences
Shown affinity for and experience working with large or messy data sets
Proficiency with statistical programming languages (R, Python, etc.) and proven ability to work pragmatically with statistical concepts
Proficiency with presentation or data visualization software, such as Microsoft PPT, Tableau, Shiny, etc.
Excellent interpersonal and communication skills
US work authorization

Preferred Qualifications

Experience framing and communicating analytical results to stakeholders at a variety of levels
SQL experience
Experience working in a consulting or advisory function
Experience mentoring more junior members of a team
Practical understanding of and experience with predictive analytics, machine learning, and/or causal inference
Familiarity with software development tools and practices (Git, code review, etc.) Competencies
Experience in designing and analyzing in-market survey research

Who we are
Civis offers opportunities for newcomers, seasoned professionals, and anyone in between. Our teams are energized by complex challenges and value diversity of thought. Opportunities to stand out and inspire happen daily, and we trust and encourage you to act on your ideas—no matter how big they are.
We offer you the tools and community you need to do your best work. Each of us is committed to holding ourselves accountable for results, challenging the status quo, and finding new ways to help our company—and each other—grow.
Why join our team?

The opportunity to be part of a growing tech startup focused on solving interesting and meaningful problems, invested in internal promotion, and committed to fostering a diverse, equal, and inclusive workplace.
Competitive benefits, including unlimited PTO; 401K match with immediate vesting; health, dental, and vision benefits; fully paid parental leave; breastfeeding support, including breastmilk shipping services for traveling moms; commuter benefits; wellness initiatives, including weekly group meditations; monthly on-site massage therapy; and pet insurance.

To support employees in our now-fully remote work environment, we have expanded our virtual journal and book clubs, Donut Pals (organized virtual coffee meet-ups), Lightning Talks (five-minute presentations on anything you’d like), Lunch-and-Learns, and HR Open Discussions (bi-weekly meet-ups where we discuss ideas and topics of the day in a casual format). We are also able to support and accommodate flexible work from-home-schedules to help employees juggle their domestic responsibilities.

Civis embraces the individuality of our employees, and we celebrate each other's differences. Our products, services, and culture benefit from and thrive on the unique perspectives brought by each person in our Civis community. We're proud to be an equal opportunity workplace, and we are committed to equal employment opportunity regardless of race, age, sex, color, ancestry, religion, national origin, sexual orientation, gender identity, citizenship, marital status, disability, or veteran status. If you have a disability or special need that requires accommodation, please contact us internalrecruiting@civisanalytics.com.
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States.
EEO IS THE LAW
EEO Supplement
Pay Transparency


Data Scientist

OUR MISSION

The availability of public data is growing at exponential rates, creating unprecedented opportunities for data analytics and information arbitrage.  The Vertical Knowledge (VK) platform enables our customers to access and understand information that is publicly available but very challenging to identify and capture at scale.  It provides organizations in both public and private sectors with a significant strategic advantage, transforming the way they discover, collect, and deploy Publicly Available Information (PAI) to solve their most challenging problems.  We are constantly adapting to a rapidly changing landscape, and our customers depend on our innovation, proprietary technology, expertise, and support to consistently deliver the value of PAI.

At VK we hire talented people and then give them the opportunity and support to make an impact.  Working at VK means standing at the forefront of technology that enables organizations across the private and public sectors to harness PAI (Publicly Available Information, also known as public data) - the fastest-growing type of alternative data in the world.

As the saying goes, when everyone’s digging for oil, it’s good to be in the drill business.  Data is today’s oil and VK builds the most sophisticated and powerful drilling technology in the market.

VK is based in Chagrin Falls, outside of Cleveland, OH. (home of Calvin & Hobbes, Superman and the Rock and Roll Hall of Fame). We are a mission-driven organization that takes pride in knowing that our work has the potential to literally save lives.

SUMMARY

We're looking for a skilled Data Scientist who will be responsible for applying technical expertise to execute meaningful analysis using specialized methodologies and tools to support our customer's mission and operations. The position will report to the Chief Data Strategy Officer.

The data scientist role includes data model development, analysis, testing, and creating derived data product, working closely with internal and external customers to understand their questions and needs.

The Data Scientist role is responsible for data processing, engineering, analysis tasks, analyzing information, identifying trends, and creation of data models. The Data Scientist role will gain insight into key business problems and deliverables by applying statistical analysis techniques to examine structured and unstructured data across multiple data sources.

PRIMARY RESPONSIBILITIES

Use Python, SQL, visualization tools and other data science IDEs to query, transform, analyze, and combine datasets in support of solving problems and implementing research ideas across industries and data categories.
Enhance our platform through the creation of tools and processes that streamline, scale, and standardize our ability to evaluate, clean, analyze, and disseminate data
Work with cross-discipline teams to ensure connectivity between various data sources and business problems
Communicate highly technical methods to non-technical stakeholders and translate open-ended questions into data-driven answers
The Data Scientist role will work well with peers of similar experience as well as senior managers and juniors that need mentoring

QUALIFICATIONS

2 or more years of experience in a data science or research function
B.S. Degree in a STEM, quantitative or analytical field such as Computer Science, Mathematics, Economics, Statistics, Engineering, Physics, or Computational Social Science; or combination/equivalent work experience and/or military training with a Masters Degree in Data Science
Strong technical data aptitude coupled with a strong understanding of the business value open-source data contributes to solving complex problems
Possess both an understanding of real-world mission/business objectives and a working grasp of software development practices and technologies
Must be a skilled communicator, with well-developed verbal, written and presentation ability to communicate data narratives to technical and non-technical audiences
Customer service oriented with a demonstrated desire to meet expectations and the ability to serve multiple internal and external customers and deliver an excellent experience.
Able to understand various data structures and common methods in data transformation
Transferable experience in quantitative research, data science, data research, or similar functions is preferred.
Experience using structured and unstructured databases
Experience in data mining and statistical analysis
Software programming knowledge (e.g. R, Scala, SQL and Python)
Understanding of data architecture, table hierarchy and data relationships.
Ability to perform data profiling to identify and understand anomalies.
Project management skills/experience a plus
Experience with Agile software development methodologies (e.g. JIRA) a plus
This position requires that the candidate selected must be a U.S Citizen, and have the ability to obtain/maintain a U.S. DoD Top Secret Clearance
Position may be based in our office in Northeast Ohio or remote anywhere in the U.S

COMPETITIVE BENEFITS & SALARY

Company paid premiums for employees and their dependents, such as medical, dental, vision, disability and life
Employer Health Savings Account (HSA) contributions
401(k) retirement plan with financial planning
Unlimited vacation days
Flexible work schedules
A casual work environment and dog friendly office (Ohio HQ only)
A fully stocked kitchen with snacks and beverages (Ohio HQ only)

Vertical Knowledge L.L.C. is an Equal Opportunity and Affirmative Action Employer.  VK is committed to the policy of an equal employment opportunity in recruitment, hiring, career advancement, and all other personnel practices. All qualified applications will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, marital status, family responsibilities, matriculation, political affiliation, genetic information, disability, past or current military service, or national origin.

Reasonable Accommodations for Applying

Applicants who qualify under the Americans with Disabilities Act, as Amended, may be eligible for a reasonable accommodation in Vertical Knowledge LLC application and selection processes. If you require an accommodation in applying through our online system, please send an email to Careers@vk.ai.  Please note that this email address is not to be used for checking on the status of an application.


Graph Data Scientist Ontology Specialist

OUR MISSION

The availability of public data is growing at exponential rates, creating unprecedented opportunities for data analytics and information arbitrage.  The Vertical Knowledge (VK) platform enables our customers to access and understand information that is publicly available but very challenging to identify and capture at scale.  It provides organizations in both public and private sectors with a significant strategic advantage, transforming the way they discover, collect, and deploy Publicly Available Information (PAI) to solve their most challenging problems.  We are constantly adapting to a rapidly changing landscape, and our customers depend on our innovation, proprietary technology, expertise, and support to consistently deliver the value of PAI.

At VK we hire talented people and then give them the opportunity and support to make an impact.  Working at VK means standing at the forefront of technology that enables organizations across the private and public sectors to harness PAI (Publicly Available Information, also known as public data) - the fastest-growing type of alternative data in the world.

As the saying goes, when everyone’s digging for oil, it’s good to be in the drill business.  Data is today’s oil and VK builds the most sophisticated and powerful drilling technology in the market.

VK is based in Chagrin Falls, outside of Cleveland, OH. (home of Calvin & Hobbes, Superman and the Rock and Roll Hall of Fame). We are a mission-driven organization that takes pride in knowing that our work has the potential to literally save lives.

SUMMARY

We're looking for a skilled Data Scientist with experience in graph data architecture and/or engineering who will be responsible for applying technical expertise to execute meaningful cross data asset interactions using specialized methodologies and tools to support our customer's mission and operations. The position will report to the Chief Data Strategy Officer.

The Graph Data Scientist role includes data architecture development, data model development, platform identification, data analysis, system testing, and creating derived data product while working closely with internal and external customers.

The Graph Data Scientist/Ontology Specialist role is responsible for developing and implementing graph modeling techniques at scale to leverage existing and expanding data assets. The role will gain insight into key business problems, be a key in developing actionable deliverables utilizing structured and unstructured data across multiple data sources.

PRIMARY RESPONSIBILITIES

Implement graph specific technologies (e.g., Allegro, Neptune, Neo4j, etc.).
Use python, SQL, visualization tools, graph specific languages and data science IDEs to query, transform, analyze, and combine datasets in support of solving problems and implementing research ideas across sectors and data categories.
Enhance our platform through the creation of tools and processes that streamline, scale, and standardize our data.
Work with cross-discipline teams to ensure connectivity between various data sources and business problems
Communicate highly technical methods to non-technical stakeholders and translate open-ended questions into data-driven answers
The Graph Data Scientist role will work well with peers of similar experience as well as juniors that need mentoring

QUALIFICATIONS

2 or more years of experience implementing and/or working within a graph data environment
Bachelors Degree in a STEM, quantitative or analytical field such as Computer Science, Mathematics, Economics, Statistics, Engineering, Physics, or Computational Social Science; or combination/equivalent work experience and/or military training with a Masters in Data Science.
Strong technical data aptitude coupled with a strong understanding of the business value open-source data contributes to solving complex problems.
Possess both an understanding of real-world mission/business objectives and a working grasp of software development practices and technologies
Must be a skilled communicator, with well-developed verbal, written and presentation ability to communicate data narratives to technical and non-technical audiences
Customer service oriented with a demonstrated desire to meet expectations and the ability to serve multiple internal and external customers and deliver an excellent experience.
Able to understand various data structures and common methods in data transformation
Transferable experience in quantitative research, data science, data research, or similar functions is preferred.
Experience using structured and unstructured databases
Understanding of data architecture, table hierarchy and data relationships.
Project management skills/experience a plus
Experience with Agile software development methodologies (JIRA) a plus
This position requires that the candidate selected must be a U.S Citizen, and have the ability to obtain/maintain a U.S. DoD Top Secret Clearance
Position may be based in our office in Northeast Ohio (preferred) or remote anywhere in the U.S.

COMPETITIVE BENEFITS & SALARY

Company paid premiums for employees and their dependents, such as medical, dental, vision, disability and life
Employer Health Savings Account (HSA) contributions
401(k) retirement plan with financial planning
Unlimited vacation days
Flexible work schedules
A casual work environment and dog friendly office (Ohio HQ only)
A fully stocked kitchen with snacks and beverages (Ohio HQ only)

Vertical Knowledge L.L.C. is an Equal Opportunity and Affirmative Action Employer.  VK is committed to the policy of an equal employment opportunity in recruitment, hiring, career advancement, and all other personnel practices. All qualified applications will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, marital status, family responsibilities, matriculation, political affiliation, genetic information, disability, past or current military service, or national origin.

Reasonable Accommodations for Applying

Applicants who qualify under the Americans with Disabilities Act, as Amended, may be eligible for a reasonable accommodation in Vertical Knowledge LLC application and selection processes. If you require an accommodation in applying through our online system, please send an email to Careers@vk.ai.  Please note that this email address is not to be used for checking on the status of an application.


Cyber Data Scientist Senior

Cyber Data Scientist, Senior
The Challenge:
Are you excited at the prospect of unlocking the secrets held by a data set? Are you fascinated by the possibilities presented by the IoT, machine learning, and artificial intelligence advances? In an increasingly connected world, massive amounts of structured and unstructured data open-up new opportunities. As a data scientist, you can turn these complex data sets into useful information to solve global challenges. Across private and public sectors from fraud detection to cancer research, to national intelligence, you know the answers are in the data.
We have an opportunity for you to use your analytical skills to improve public and private sector cybersecurity automation. You’ll work closely with your customer to understand their questions and needs and then dig into their data-rich environment to find the pieces of their information puzzle. You’ll develop algorithms, write scripts, build predictive analytics, use automation, apply machine learning, and use the right combination of tools and frameworks to turn that set of disparate data points into objective answers to help senior leadership make informed decisions. You’ll provide your customer with a deep understanding of their data, what it all means, and how they can use it. Join us as we use data science for good in both the public and private sectors. This position is open to remote delivery anywhere within the U.S., to include the District of Columbia.
Empower change with us.
You Have:
4+ years of experience with machine learning engineering, data science, data engineering, or software development for data solutionsExperience designing and implementing machine learning models for applied solutioning across defensive and offensive cyber use casesExperience with object-oriented programming languages, including Python, C++, Java, R, or ScalaExperience with containerization tools, including Kubernetes and DockerExperience designing a technical solution and leading a team in the implementation of the technical designAbility to obtain a security clearanceBachelor's degree
Nice If You Have:
Experience with penetration testing data, advanced threat hunter, or leading Red and Blue teamsExperience with data-oriented tasks for cybersecurity solutioning, including developing machine learning algorithms, data models, or architecture strategy for cyber defense purposesExperience developing and supporting cybersecurity solutions with a focus on applied data science or machine learningExperience architecting and designing novel analytic methods and cutting-edge machine learning methodologiesExperience developing and engineering data workflows to merge disparate data sources and draw data-driven insightsAbility to leverage a wide variety of data science capabilities and languages, analyze and resolve critical data issues using various methodologies, and ensure data integrityAbility to oversee and optimize business opportunities aligned to strategic objectivesMaster's degree
Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.
Build Your Career:
At Booz Allen, we know the power of analytics, and we’re dedicated to helping you grow as a data analysis professional. When you join Booz Allen, you’ll have the chance to:
access online and onsite training in data analysis and presentation methodologies, and tools like Hortonworks, Docker, Tableau, and Splunkchange the world with the Data Science Bowl—the world’s premier data science for social good competitionparticipate in partnerships with data science leaders, like our partnership with NVIDIA to deliver Deep Learning Institute (DLI) training to the federal government
You’ll have access to a wealth of training resources through our Analytics University, an online learning portal specifically geared towards data science and analytics skills, where you can access more than 5000 functional and technical courses, certifications, and books. Build your technical skills through hands-on training on the latest tools and state-of-the-art tech from our in-house experts. Pursuing certifications that directly impact your role? You may be able to take advantage of our tuition assistance, onsite boot camps, certification training, academic programs, vendor relationships, and a network of professionals who can give you helpful tips. We’ll help you develop the career you want as you chart your own course for success.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $93,300.00 to $212,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees.
EEO Commitment
We’re an equal employment opportunity/affirmative action employer that empowers our people to fearlessly drive change – no matter their race, color, ethnicity, religion, sex (including pregnancy, childbirth, lactation, or related medical conditions), national origin, ancestry, age, marital status, sexual orientation, gender identity and expression, disability, veteran status, military or uniformed service member status, genetic information, or any other status protected by applicable federal, state, local, or international law.


Healthcare Data Scientist

Healthcare Data Scientist
The Opportunity:
Are you excited at the prospect of unlocking the secrets held by a data set? Are you fascinated by the possibilities presented by the IoT, machine learning, and artificial intelligence advances? In an increasingly connected world, massive amounts of structured and unstructured data open up new
opportunities. As a data scientist, you can turn these complex data sets into useful information to solve global challenges. Across private and public sectors — from fraud detection to cancer research, to national intelligence — you know the answers are in the data.
We have an opportunity for you to use your analytical skills to improve the way healthcare is delivered at the Department of Veterans Affairs, as well as extend access to quality healthcare for Veterans nationwide. You’ll work closely with your client to understand their questions and needs, and then utilize understanding of the intersection of data science and healthcare delivery to provide actionable insights to Healthcare Operations and Clinical SMEs. You’ll work to rapidly identify relevant data sources, assess fitness for the problem at hand, analyze gaps, and use the right combination of tools and frameworks to turn that set of disparate data points into objective answers to help VA leadership make informed decisions. You’ll provide your client with a deep understanding of their data, what it all means, and how they can use it. Join us as we use data science for good in the healthcare industry. This position is open to remote delivery anywhere within the U.S., to include the District of Columbia.
Join us. The world can’t wait.
You Have:
2+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining2+ years of experience with analyzing and applying insights from healthcare dataExperience with building and tuning algorithms, including using common data cleaning and machine learning techniquesExperience with developing algorithms and leveraging R, Python, or SQLExperience with visualization packages, including Power BIAbility to work independently or in a team to derive insights from unstructured healthcare data and effectively communicate those insights to operational and clinical SMEs Bachelor’s degree in Data Analytics, Computer Science, Engineering, Mathematics, Statistics, or Public Health
Nice If You Have:
Experience with developing predictive data models, quantitative analyses, and visualization of targeted data sourcesKnowledge of common data management and data infrastructure tools and techniques Ability to take the initiative and a proactive problem-solving approach Possession of excellent verbal and written communication skills, including explaining analyses to a variety of audiences to communicate project goals, plans, and progress Possession of excellent follow-up skillsMaster’s degree
Create Your Career:
Grow With Us
Your growth matters to us—that’s why we offer a variety of ways for you to develop your career. With professional and leadership development opportunities like upskilling programs, tuition reimbursement, mentoring, and firm-sponsored networking, you can chart a unique and fulfilling career path on your own terms.
A Place Where You Belong
Diverse perspectives cultivate collective ingenuity. Booz Allen’s culture of respect, equity, and opportunity means that, here, you are free to bring your whole self to work. With an array of business resource groups and other opportunities for connection, you’ll develop your community in no time.
Support Your Well-Being
Our comprehensive benefits package includes wellness programs with HSA contributions, paid holidays, paid parental leave, a generous 401(k) match, and more. With these benefits, plus the option for flexible schedules and remote and hybrid locations, we’ll support you as you pursue a balanced, fulfilling life—at work and at home.
Your Candidate Journey
At Booz Allen, we know our people are what propel us forward, and we value relationships most of all. Here, we’ve compiled a list of resources so you’ll know what to expect as we forge a connection with you during your journey as a candidate with us.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $73,100.00 to $166,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees.
EEO Commitment
We’re an equal employment opportunity/affirmative action employer that empowers our people to fearlessly drive change – no matter their race, color, ethnicity, religion, sex (including pregnancy, childbirth, lactation, or related medical conditions), national origin, ancestry, age, marital status, sexual orientation, gender identity and expression, disability, veteran status, military or uniformed service member status, genetic information, or any other status protected by applicable federal, state, local, or international law.