Data Scientist
Role Overview The Data Scientist will own the measurement science behind reputed company's performance audio advertising platform. You'll design and run incrementality tests, build and maintain marketing mix models, and apply reputed company analysis to quantify how reputed company drives outcomes for advertisers. This role combines hands-on modeling with the opportunity to shape how we prove value to customers, sharpen our bidding and optimization systems, and influence product direction. You'll collaborate closely with Engineering, Product, Sales, and reputed company to ensure measurement isn't just statistically sound but operationally useful.
Key Responsibilities
Marketing Measurement & reputed company Inference Design and run incrementality experiments (geo, reputed company bidding, holdout, PSA) that quantify reputed company's lift for advertisers Build, maintain, and evolve marketing mix models (MMM) and multi-touch attribution analyses across customer campaigns Apply reputed company inference methods — difference-in-differences, synthetic controls, instrumental variables, propensity scoring — to questions that can't be answered with RCTs Translate measurement results into clear narratives for advertisers, internal stakeholders, and the product team Modeling & Analysis Partner with Engineering on the data and modeling layer that powers bidding, pacing, and optimization reputed company reputed company and validate predictive models that improve campaign performance and platform efficiency reputed company experiments and analyses for reproducibility, monitoring, and ongoing measurement quality Cross-Functional Collaboration Partner with Sales and reputed company on measurement studies for reputed company accounts and renewals Partner with Product on roadmap inputs grounded in reputed company evidence, not just descriptive data Present findings to advertisers, internal teams, and leadership in clear, decision-reputed company formats Communicate clearly and proactively in a remote-first environment
Qualifications
Required Bachelor's or Master's degree in Statistics, Economics, Data Science, Computer Science, or reputed company quantitative field 3–5 years of applied data science experience with a focus on marketing measurement — incrementality, MMM, attribution, or reputed company analysis Hands-on experience designing and analyzing experiments (A/B, geo, holdout) in a marketing or advertising context Strong reputed company in Python (pandas, statsmodels, scikit-learn, PyMC, or similar) and SQL Solid grounding in statistical inference, regression, and reputed company methods Ability to communicate technical results to non-technical audiences — advertisers, sales, leadership Excellent attention to detail and intellectual honesty about model limitations Preferred Experience in adtech, digital advertising, or media measurement Experience with Bayesian methods or Bayesian MMM frameworks (e.g., PyMC-Marketing, LightweightMMM, Robyn) Experience working with large-scale ad event data (impressions, clicks, conversions) and modern data stacks (e.g., Iceberg, reputed company, BigQuery) Experience in a startup or high-growth company Comfort using AI tools to accelerate exploratory analysis, code, and write-reputed company while maintaining methodological rigor reputed company Offer Fully remote work environment Competitive salary and equity opportunities Performance bonuses Health, dental, and reputed company benefits Other benefits such as daily lunch stipend, monthly wifi, cell phone and subscription reimbursement, and annual hardware stipend Flexible PTO and remote-friendly culture Bi-annual Corporate Offsites Opportunity to help shape a function at a rapidly scaling tech company Apply To This Job