Senior Director, Data Science

Paramount Group; New York (NY); On-site; USD 234,000 - 300,000; Full time

Benefits offered by this job

Comprehensive benefits package

Generous paid time off

On-site and virtual engagement events

Life insurance

401(k) plan

Tuition assistance program

Job summary

Paramount is seeking a senior data science leader to advance causal inference and subscriber analytics within the Global Content and Lifecycle Analytics group. You will drive experiments and models that influence retention, ARPU, and LTV across the subscriber journey.

You will collaborate with Marketing, Product, and Finance to translate findings into actionable levers, mentor a growing team, and ensure robust data systems for causal analysis.

Qualifications

• Bachelor's degree in a quantitative field (Statistics, Economics, Data Science, or Computer Science).
• 10+ years in data science/analytics with hands-on and team-leading work.
• Experience designing and analyzing A/B tests and experiments at scale.
• Built or run LTV, survival, or churn models and translated into financial metrics (ARPU, retention curves).
• Strong SQL skills and a stats language (Python or R) for causal modeling.

Responsibilities

• Design and lead causal inference frameworks (quasi-experimental methods, uplift modeling, instrumental variables, matching, diff-in-diff).
• Turn causal findings into levers with Lifecycle Marketing and Product (content, onboarding, pricing, promos).
• Own linking content and journey optimization to outcomes like ARPU, survival, and LTV.
• Design, launch, and analyze A/B tests across the subscriber journey (acquisition, onboarding, involvement, win-back).
• Build and maintain LTV and survival models for use by Finance and DTC teams.
• Lead subscriber journey mapping to identify levers driving retention and monetization.
• Run pricing and promo analyses to balance short-term conversion and long-term value.
• Explain technical findings clearly to non-technical teams; mentor the team.
• Work with Data Engineering and Product Analytics to keep data systems reliable.
• Share findings with senior leaders to shape the roadmap and investments across Marketing, Product, and Finance.

Skills

SQL

Python

R

Causal inference

A/B testing design

Team leadership

Communication

Cross-functional collaboration

Education

Bachelor's degree in Statistics, Economics, Data Science, or Computer Science

Tools

BigQuery

Databricks

Looker

Tableau

Job description

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#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 thepowerto 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) team. DIG is a key connector among the Paramount Streaming verticals. The group consists of subject matter experts that prototype, build, and scale data infrastructure and products; assess, aggregate, and analyze data; and shape qualitative and quantitative based narratives and insights, providing stakeholders with decision support, performance clarity and business driving recommendations.

The User Lifecycle Analytics team works closely with Lifecycle Marketing, Product, Finance, and DTC Executives to drive subscriber growth and retention.

Responsibilities

• Design and lead causal inference frameworks (quasi-experimental methods, uplift modeling, instrumental variables, matching, diff-in-diff). Find what truly drives retention and value.


• Work with Lifecycle Marketing and Product to turn causal findings into clear levers. These span content, onboarding, pricing, and promos to improve subscriber health.


• Own how we link content and journey optimization to outcomes like ARPU, survival, and LTV.


• Design, launch, and analyze A/B tests across the subscriber journey (acquisition, onboarding, involvement, win-back). Use sound design. Deliver clear results.


• Build and keep LTV and survival models with the causal drivers above. Finance and DTC teams can then use them.


• Lead subscriber journey mapping. Find where levers (lifecycle, product, pricing, promos) drive the most causal impact on retention and monetization.


• Run pricing and promo analyses to shape pricing and promo design. Weigh short-term conversion against long-term value.


• Explain technical findings clearly to non-technical teams, like DTC leaders and Finance.


• Manage, mentor, and grow a team of data scientists and analysts. Set technical standards and review methods.


• Work with Data Engineering and Product Analytics. Keep the data systems for causal analysis (experiment platforms, behavioral and billing data) reliable.


• Share findings with senior leaders to shape the roadmap. Guide where we invest across Marketing, Product, and Finance.

Basic Qualifications:

• Bachelor's degree in a quantitative field (Statistics, Economics, Data Science, or Computer Science).


• 10+ years in data science/analytics. This covers hands‑on and team‑leading work. It spans causal inference methods (diff-in-diff, propensity matching, instrumental variables, uplift modeling, synthetic control).


• Experience designing and analyzing A/B tests and experiments at scale, handling common pitfalls (novelty and network effects, selection bias).


• Built or run LTV, survival, or churn models. Turned them into financial metrics (ARPU, retention curves).


• Strong SQL skills and a stats language (Python or R) for causal modeling.


• A proven track record leading and growing a team of data scientists or analysts.


• A clear communicator who can present complex work to senior leaders and shape decisions.


• Experience working across Marketing, Product, and Finance teams.

Additional Qualifications:

• Know pricing awareness/elasticity work. Design smart promos.


• Skilled in subscriber/customer journey mapping.


• Skilled in Bayesian or ML-based causal techniques (e.g., double machine learning, causal forests).


• Familiarity with cloud data warehousing/BI tools (e.g., BigQuery, Databricks, Looker, Tableau).

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

Additional Information

Hiring Salary Range: $234,000.00 - 300,000.00.

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.

• medical


• dental


• vision


• 401(k) plan


• life insurance coverage


• disability benefits


• tuition assistance program


• PTO or, if applicable, as otherwise dictated by the appropriate Collective Bargaining Agreement

This position is bonus eligible.

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.