Lead Data Scientist — Growth & Causal Analytics

Paramount; New York (NY); On-site; USD 139,000 - 200,000; Full time

Benefits offered by this job

Bonus eligible

Healthcare benefits

Job summary

Paramount is seeking a seasoned Senior Data Scientist to drive causal analyses and experimentation across the subscriber lifecycle. You will partner with Lifecycle Marketing, Product, Finance, and executives to influence strategy and optimize long-term value.

The role emphasizes building robust data pipelines, modeling ARPU, survival, and churn metrics, and mentoring analysts while advancing best practices in causal inference.

Qualifications

• Bachelor's degree in a quantitative field (Statistics, Economics, Data Science, Computer Science, Operations Research, or related).
• 5+ years in data science/analytics with hands-on causal inference or experimentation methods (A/B testing, diff-in-diff, propensity score matching).
• Experience designing or analyzing A/B tests, including understanding common pitfalls (novelty effects, selection bias, sample ratio mismatch).
• Solid SQL skills and proficiency in Python or R for statistical analysis.
• Experience with or building LTV, survival, or churn-related metrics.
• Great communication skills, translating analyses for non-technical stakeholders.

Responsibilities

• Run causal inference analyses (diff-in-diff, matching, uplift modeling) to identify drivers of retention and long-term value.
• Map the subscriber journey to identify impactful lifecycle, product, pricing, and promo levers.
• Design, setup, and analyze A/B tests across the subscriber journey (acquisition, onboarding, engagement, win-back).
• Build and maintain reporting and models turning 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.

Skills

Causal inference

A/B testing

SQL

Python or R

LTV metrics

Communication

Education

Bachelor's degree in quantitative field

Tools

BigQuery

Databricks

Looker

Tableau

Job description

Paramount is seeking a seasoned Senior Data Scientist to drive causal analyses and experimentation across the subscriber lifecycle. You will partner with Lifecycle Marketing, Product, Finance, and executives to influence strategy and optimize long-term value.

The role emphasizes building robust data pipelines, modeling ARPU, survival, and churn metrics, and mentoring analysts while advancing best practices in causal inference.