Senior Data Scientist

This is a fully remote position, open to applicants in United States.

📋 Description

• Develop and implement comprehensive measurement solutions, which include incrementality tests, media mix models, and causal analysis.

• Translate analytical outcomes into straightforward, actionable insights.

• Collaborate with Data Strategy, media, client service, and analytics teams to address measurement challenges across various channels and stages of the funnel.

• Work with extensive and imperfect marketing datasets, identifying data quality issues and measurement gaps.

• Choose suitable methodologies for specific business inquiries.

• Present findings and limitations to both technical and non-technical stakeholders.

• Assess CTV, video, audio, OOH, paid social, and other brand investments.

• Enhance measurement strategies and mentor junior and mid-level data scientists.

• Collaborate with Data Strategy, media, and client teams to turn business inquiries into testable measurement plans.

• Design and evaluate geo-based experiments, holdouts, matched-market tests, and causal inference methodologies.

• Construct, validate, and interpret media mix models to assess channel contribution, efficiency, saturation, and diminishing returns.

• Create measurement methodologies for upper-funnel and brand media.

• Perform power analyses, feasibility assessments, sensitivity analyses, and model diagnostics.

• Utilize predictive modeling, propensity modeling, segmentation, and forecasting techniques.

• Contribute to the development of shared measurement standards, code, and best practices.

• Mentor junior data scientists.

⛳️ Requirements

• A Master’s degree in Statistics, Economics, Data Science, Computer Science, Engineering, or another quantitative field is preferred, or a B.S. with 5 years of relevant experience.

• Strong programming expertise in Python, R, and SQL.

• Practical experience in designing and analyzing incrementality tests, including geo holdouts, matched-market tests, synthetic controls, holdouts, or randomized experiments.

• Hands-on experience in creating, validating, and interpreting media mix models.

• Profound knowledge of statistical modeling, causal inference, experimental design, and time-series methodologies.

• Ability to assess methodological tradeoffs, question weak assumptions, and choose suitable approaches based on available data and business considerations.

• Capacity to work independently on ambiguous challenges while collaborating with cross-functional teams.

• Experience with Bayesian modeling frameworks like PyMC or similar tools.

• Experience in calibrating or validating MMM results using incrementality tests, or merging multiple measurement techniques into a cohesive recommendation.

• Familiarity with brand measurement, awareness studies, retail or offline sales data, or multi-outcome/funnel modeling.

• This position may be carried out remotely in most US states, with some exceptions.

• The role is not eligible for immigration sponsorship.

🏝️ Benefits

• Remote-first culture.

• Unlimited PTO.

• Extended holiday break during winter.

• Flexible scheduling options.

• Work-from-anywhere opportunities.

• 100% paid parental leave.

• 401(k) matching.

• Comprehensive medical, dental, vision, life, and pet insurance.

• Sponsored life insurance.

• Short-term disability insurance and additional voluntary insurance options.

• Annual Class Pass credits.

• Office hubs located in Los Angeles, Chicago, and New York for learning and development opportunities, events, workspace, and in-person collaboration.