Scientist Jobs

About The Position

Requirements

• 3+ years of building models for business application experience
• PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
• Experience programming in Java, C++, Python or related language
• Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

Nice To Haves

• Experience in professional software development
• Experience in designing experiments and statistical analysis of results

Responsibilities

• Partner with cross-functional teams to translate business questions into rigorous causal inference problems
• Design observational studies and quasi-experiments to measure marketing effectiveness when traditional A/B tests are infeasible
• Work with data engineering to instrument new data pipelines when existing data cannot answer the causal question
• Own and evolve production attribution models across multiple marketing channels, with the reliability, latency, and reproducibility that automated downstream consumers depend on
• Build and maintain causal inference pipelines using methods such as Difference-in-Differences, Synthetic Control, Double Machine Learning, and Media Mix Models
• Develop and maintain calibration systems that benchmark model outputs against RCTs — owning the measurement truth layer
• Write scalable, modular, SDE-standard PySpark/Python codebases (CI/CD, test isolation, structured logging) that process large-scale event data and deploy to production with confidence
• Continuously improve model accuracy through feature engineering, heterogeneity analysis, and sensitivity testing
• Investigate anomalies in model outputs and deep-dive to identify root causes
• Research and prototype next-generation measurement methods and apply AI/LLM-based tooling to accelerate the science development lifecycle
• Present findings to senior leadership with clear recommendations
• Build dashboards, agent-consumable APIs, and self-service tools that let stakeholders (and downstream systems) explore results independently
• Write production-quality Python for data analysis, model training, calibration, and result publishing

Benefits

• health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
• 401(k) matching
• paid time off
• parental leave
• sign-on payments
• restricted stock units (RSUs)