Lead Data Scientist

Paramount; New York (NY); On-site; USD 139,000 - 200,000; Full time

Benefits offered by this job

Bonus eligible

Healthcare benefits

Job summary

Paramount is seeking a seasoned Senior Data Scientist to drive causal analyses and experimentation across the subscriber lifecycle. You will partner with Lifecycle Marketing, Product, Finance, and executives to influence strategy and optimize long-term value.

The role emphasizes building robust data pipelines, modeling ARPU, survival, and churn metrics, and mentoring analysts while advancing best practices in causal inference.

Qualifications

• Bachelor's degree in a quantitative field (Statistics, Economics, Data Science, Computer Science, Operations Research, or related).
• 5+ years in data science/analytics with hands-on causal inference or experimentation methods (A/B testing, diff-in-diff, propensity score matching).
• Experience designing or analyzing A/B tests, including understanding common pitfalls (novelty effects, selection bias, sample ratio mismatch).
• Solid SQL skills and proficiency in Python or R for statistical analysis.
• Experience with or building LTV, survival, or churn-related metrics.
• Great communication skills, translating analyses for non-technical stakeholders.

Responsibilities

• Run causal inference analyses (diff-in-diff, matching, uplift modeling) to identify drivers of retention and long-term value.
• Map the subscriber journey to identify impactful lifecycle, product, pricing, and promo levers.
• Design, setup, and analyze A/B tests across the subscriber journey (acquisition, onboarding, engagement, win-back).
• Build and maintain reporting and models turning journey optimization into ARPU, survival and LTV metrics.
• Own SQL/Python data pulls, cleaning, and analysis pipelines for causal and LTV modeling.
• Prepare clear presentations and summaries of findings for stakeholders.

Skills

Causal inference

A/B testing

SQL

Python or R

LTV metrics

Communication

Education

Bachelor's degree in quantitative field

Tools

BigQuery

Databricks

Looker

Tableau

Job description

#WeAreParamount on a mission to unleash the power of content… you in?

We’ve got the brands, we’ve got the stars, we’ve got the power to achieve our mission to entertain the planet – now all we’re missing is… YOU! Becoming a part of Paramount means joining a team of passionate people who not only recognize the power of content but also enjoy a touch of fun and uniqueness. Together, we co-create moments that matter – both for our audiences and our employees – and aim to leave a positive mark on culture.

Overview:

We are the Global Content and Lifecycle Analytics team, part of the Paramount Streaming, Data & Insights Group (DIG)! DIG is a key connector across the Paramount Streaming verticals. Our group is made up of subject matter experts who prototype, build, and scale data infrastructure and products. We also assess, aggregate, and analyze data, and we shape both qualitative and quantitative stories and insights. In short, we give our stakeholders decision support, clear performance views, and recommendations that help the business grow! The User Lifecycle Analytics team works closely with Lifecycle Marketing, Product, Finance, and DTC Executives to drive subscriber growth and retention. The Lead Data Scientist reports to the Senior Director of Data Science. You'll support a wide range of projects, partnering with the Lifecycle Marketing and Product teams, DTC executives, and Finance. This role calls for a solid analytical foundation, real curiosity about subscriber behavior, and the skill to run careful analysis that feeds straight into strategy! The ideal candidate is detail-oriented, communicates clearly, and has hands-on experience (or eagerness to grow) in causal inference and experimentation. This role supports two core business questions: What drives long-term subscriber health, and how do we use our levers (lifecycle, product, pricing, promotions) to grow it? How do our optimization efforts across content and the subscriber journey affect the bottom line?

Responsibilities:

• Run causal inference analyses (e.g., diff-in-diff, matching, uplift modeling) under the Sr. Director's guidance. You'll find which subscriber behaviors truly drive retention and long-term value, while correcting for known biases in streaming data.
• Help map the subscriber journey to pinpoint where lifecycle, product, pricing, and promo levers have the most impact.
• Help design, set up, and analyze A/B tests across the subscriber journey (acquisition, onboarding, engagement, win-back), including power analysis, monitoring, and read-outs.
• Build and maintain reporting and models that turn journey optimization into ARPU, survival, and LTV metrics for stakeholders.
• Own the SQL/Python data pulls, cleaning, and analysis pipelines behind the team's causal and LTV modeling.
• Prepare clear, well-organized presentations and summaries of your findings for stakeholders.
• Partner with Data Engineering and Product Analytics to check data quality and fix issues in our experimentation and behavioral data pipelines.
• Stay current on causal inference and experimentation best practices and help promote sound methods across the team.
• Mentor junior analysts on SQL, statistical methods, and analytical best practices as the team grows.

Basic Qualifications:

• Bachelor's degree in a quantitative field (Statistics, Economics, Data Science, Computer Science, Operations Research, or related).
• 5+ years in data science/analytics, with hands-on use of causal inference or experimentation methods (e.g., A/B testing, diff-in-diff, propensity score matching) — not just predictive modeling.
• Experience designing or analyzing A/B tests, including an understanding of common pitfalls (novelty effects, selection bias, sample ratio mismatch).
• Solid SQL skills and proficiency in Python or R for statistical analysis.
• Experience working with or building LTV, survival, or churn-related metrics.
• Great communication skills, with the ability to turn analytical results into clear takeaways for non-technical stakeholders.

Additional Qualifications:

• Experience in subscription/DTC streaming, media, or another subscription business (e.g., SaaS, telecom).
• Familiarity with subscriber/customer journey mapping.
• Exposure to advanced causal techniques (e.g., instrumental variables, double machine learning, causal forests).
• Familiarity with cloud data warehousing/BI tools (e.g., BigQuery, Databricks, Looker, Tableau).

Additional Information

Hiring Salary Range: $139,000.00 - 200,000.00. The hiring salary range for this position applies to New York City, California, Colorado, Washington state, and most other geographies. Starting pay for the successful applicant depends on a variety of job-related factors, including but not limited to geographic location, market demands, experience, training, and education. The benefits available for this position include medical, dental, vision, 401(k) plan, life insurance coverage, disability benefits, tuition assistance program and PTO or, if applicable, as otherwise dictated by the appropriate Collective Bargaining Agreement. This position is bonus eligible.

What We Offer:

• Attractive compensation and comprehensive benefits packages. Check out our full list of benefits here: https://www.paramount.com/careers/benefits
• Generous paid time off.
• An exciting and fulfilling opportunity to be part of one of Paramount’s most dynamic teams.
• Opportunities for both on-site and virtual engagement events.
• Unique opportunities to make meaningful connections and build a vibrant community, both inside and outside the workplace.
• Explore life at Paramount: https://www.paramount.com/careers/life-at-paramount

Paramount is an equal opportunity employer (EOE) including disability/vet.

At Paramount, the spirit of inclusion feeds into everything that we do, on-screen and off. From the programming and movies we create to employee benefits/programs and social impact outreach initiatives, we believe that opportunity, access, resources and rewards should be available to and for the benefit of all. Paramount is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, and Veteran status.

If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access https://www.paramount.com/careers as a result of your disability. You can request reasonable accommodations by calling 212.846.5500 or by sending an email to [e-mail]. Only messages left for this purpose will be returned.