Senior Director, Data Science

🕒 September 1

🗽 New York – Remote

🗽 New York – Remote

💵 $234k - $300k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 4%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Paramount

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1912

💼 Consulting

📣 Marketing

📱 Media

Consulting • Marketing • Media

Paramount is a global multimedia entertainment and news company that offers a range of services including direct-to-consumer digital subscription video on-demand and live streaming through Paramount+. It also owns Pluto TV, a leading free streaming television service, MTV, the world’s premier youth entertainment brand, and CBS Sports, a leader in television sports broadcasts. Paramount Pictures, since 1912, has been a legendary producer and distributor of films, hosting a library of over 1,000 titles. The company is deeply committed to inclusion and impact, focusing on diversity, global sustainability, and content that affects change. Being a significant player in both live and on-demand streaming services, Paramount embraces a wide array of content from sports to kids’ entertainment, comedy, and groundbreaking documentaries, impacting both linear and streaming platforms globally.

📋 Description

• 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

• 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

• 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