Senior Director, Data Science

Overview

The Global Content and Lifecycle Analytics team, part of the Paramount Streaming, Data & Insights Group (DIG), is seeking a Senior Director to support a wide range of initiatives partnering with Lifecycle Marketing, Product, DTC executives, and Finance. This role requires the ability to translate complex data into clear, actionable insights and strategic recommendations. The ideal candidate will possess strong communication skills, an inquisitive nature, attention to detail, and a passion for media, with experience in analyzing user journeys and advanced causal inference frameworks.

Core Responsibilities

• Design and lead causal inference frameworks (quasi-experimental methods, uplift modeling, instrumental variables, matching, diff-in-diff) to find what truly drives retention and value.
• Work with Lifecycle Marketing and Product to turn causal findings into clear levers spanning 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) using sound design and deliver clear results.
• Build and maintain LTV and survival models with the causal drivers above for Finance and DTC teams to use.
• Lead subscriber journey mapping to identify 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, weighing short-term conversion against long-term value.
• Explain technical findings clearly to non-technical teams, including DTC leaders and Finance.
• Manage, mentor, and grow a team of data scientists and analysts, setting technical standards and reviewing methods.
• Work with Data Engineering and Product Analytics to keep data systems for causal analysis (experiment platforms, behavioral and billing data) reliable.
• Share findings with senior leaders to shape the roadmap and 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 covering hands-on and team-leading work, spanning 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 and turned them into financial metrics (ARPU, retention curves).
• Strong SQL skills and a stats language (Python or R) for causal modeling.
• Proven track record leading and growing a team of data scientists or analysts.
• Clear communicator who can present complex work to senior leaders and shape decisions.
• Experience working across Marketing, Product, and Finance teams.

Additional Qualifications

• Knowledge of pricing awareness/elasticity work and designing 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).

Pay

Hiring Salary Range: $234,000.00 – 300,000.00. This position is bonus eligible.

Benefits

• Medical, dental, and vision insurance
• 401(k) plan
• Life insurance coverage
• Disability benefits
• Tuition assistance program
• Paid time off
• Generous paid time off
• Attractive compensation and comprehensive benefits packages
• 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