Lead Data Scientist

🕒 September 1

🏄 California, Colorado, +2 more states – Remote

🏄 California – Remote ⛰️ Colorado – Remote 🗽 New York – Remote ☕ Washington – Remote

💵 $139k - $200k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

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👻 Ghost score 4%

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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

• Run causal inference analyses, including diff-in-diff, matching, and uplift modeling, under the Senior Director's guidance • Identify subscriber behaviors that drive retention and long-term value while correcting for known biases in streaming data • Map the subscriber journey to identify the impact of lifecycle, product, pricing, and promotional levers • Design, set up, and analyze A/B tests across acquisition, onboarding, engagement, and win-back • Conduct power analysis, experiment monitoring, and read-outs • Build and maintain reporting and models translating 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 • Partner with Data Engineering and Product Analytics to validate data quality and resolve experimentation and behavioral data pipeline issues • Stay current on causal inference and experimentation best practices and promote sound methods across the team • Mentor junior analysts on SQL, statistical methods, and analytical best practices

🎯 Requirements

• Bachelor's degree in a quantitative field (Statistics, Economics, Data Science, Computer Science, Operations Research, or related) • 5+ years in data science/analytics • Hands-on use of causal inference or experimentation methods, such as A/B testing, diff-in-diff, or propensity score matching • Experience designing or analyzing A/B tests • Understanding of experimentation pitfalls, including novelty effects, selection bias, and sample ratio mismatch • Solid SQL skills • Proficiency in Python or R for statistical analysis • Experience working with or building LTV, survival, or churn-related metrics • Ability to communicate analytical results clearly to non-technical stakeholders • Experience in subscription/DTC streaming, media, or another subscription business is an additional qualification • Familiarity with subscriber/customer journey mapping is an additional qualification • Exposure to advanced causal techniques is an additional qualification • Familiarity with cloud data warehousing/BI tools such as BigQuery, Databricks, Looker, or Tableau is an additional qualification

🏖️ 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