Senior Director, Data Science

Paramount

Senior Director leading causal inference, experimentation, and LTV modeling for Paramount’s streaming subscribers. Guiding retention, monetization, and data science teams across Marketing, Product, and Finance.

Posted 9/1/2026full-timeRemote • New York • 🇺🇸 United StatesSenior💰 $234,000 - $300,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Expertise in causal inference methods and data science analytics, with a strong focus on subscriber journey mapping, A/B testing, and translating complex models into actionable financial metrics. Proven leadership in managing and mentoring data science teams while collaborating across Marketing, Product, and Finance to drive retention and value.

Highest-signal resume keywords

Causal Inference MethodsA/B Testing Design and AnalysisLTV and Survival ModelingSQL ProficiencyTeam Leadership in Data Science

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Causal InferenceA/B TestingLTV ModelingSurvival ModelingSQLPythonRBayesian TechniquesMachine LearningData Analysis

Soft Skills

MentoringCommunicationCollaborationProblem-SolvingPresentation Skills

Tools & Technologies

BigQueryDatabricksLookerTableau

Industry Keywords

Subscriber Journey MappingPricing AnalysisRetention MetricsMarketing AnalyticsFinance Collaboration

Tech Stack

Tools & technologies

BigQueryCloudPythonSQLTableau

About the role

Key responsibilities & impact

Design and lead causal inference frameworks to identify drivers of retention and subscriber value
Partner with Lifecycle Marketing and Product to turn causal findings into actionable levers across content, onboarding, pricing, and promotions
Link content and subscriber journey optimization to ARPU, survival, and LTV outcomes
Design, launch, and analyze A/B tests across acquisition, onboarding, involvement, and win-back journeys
Build and maintain LTV and survival models for Finance and DTC teams
Lead subscriber journey mapping to identify causal impact on retention and monetization
Conduct pricing and promotion analyses, balancing short-term conversion with long-term value
Explain technical findings to non-technical DTC and Finance teams
Manage, mentor, and grow data scientists and analysts; set technical standards and review methods
Collaborate with Data Engineering and Product Analytics to maintain reliable experiment, behavioral, and billing data systems
Share findings with senior leaders to shape roadmaps and investment decisions across Marketing, Product, and Finance
Report to the VP of User Lifecycle Analytics

Requirements

What you’ll need

Bachelor's degree in a quantitative field (Statistics, Economics, Data Science, or Computer Science)
10+ years in data science/analytics, including hands-on and team-leading work
Experience with causal inference methods, including diff-in-diff, propensity matching, instrumental variables, uplift modeling, and synthetic control
Experience designing and analyzing A/B tests and experiments at scale
Ability to handle novelty and network effects and selection bias in experiments
Experience building or running LTV, survival, or churn models
Ability to translate models into financial metrics such as ARPU and retention curves
Strong SQL skills
Proficiency in Python or R for causal modeling
Proven track record leading and growing a team of data scientists or analysts
Ability to present complex work to senior leaders and shape decisions
Experience working across Marketing, Product, and Finance teams
Knowledge of pricing awareness/elasticity work and smart promotion design
Subscriber/customer journey mapping skills
Experience with Bayesian or ML-based causal techniques, such as double machine learning and causal forests
Familiarity with cloud data warehousing/BI tools such as BigQuery, Databricks, Looker, or Tableau

Benefits

Comp & perks

Medical insurance
Dental insurance
Vision insurance
401(k) plan
Life insurance coverage
Disability benefits
Tuition assistance program
Paid time off (PTO)
Bonus eligibility
Attractive compensation and comprehensive benefits packages
Opportunities for on-site and virtual engagement events
Opportunities to make meaningful connections and build a vibrant community
Equal employment opportunity and reasonable accommodation support