Seeking a forward deployed Data Scientist to join our cross-functional Data Science team. This role is uniquely positioned at the intersection of media analytics, product innovation, and applied machine learning. You will work directly with high-value clients and internal stakeholders to extract insights from media performance, recommend improvements to DS/ML infrastructure, and actively configure and deploy models across new or evolving use cases.
Requirements
- Strong grasp of causal inference, media measurement, and experimentation (e.g., geo holdouts, diff-in-diff, matched markets).
- Experience building data pipelines and models in Python (bonus for familiarity with Spark, Airflow, or MLflow).
- Hands-on experience with audience modeling, bid optimization, and forecasting/simulation in the advertising industry
- Exposure to advertising platform APIs (e.g., Meta, TTD, Amazon Ads) and DSP/SSP metrics.
- Familiarity with identity graphs, cross-device resolution, or hashed ID pipelines (RampID, UID2, etc.).
Responsibilities
- Serve as the embedded data science expert across client teams to analyze media performance, model performance, and recommend and/or prototype improvements.
- Translate raw data, model logs, and client KPIs into actionable media recommendations.
- Conduct lift analyses, segment-level attribution, and targeting strategy refinement.
- Build and adapt MLE and DS configurations for existing modeling products (e.g., audience scoring, incremental lift, bid modifiers).
- Configure pipelines, stratified sampling logic, or feature transformations tailored to client-specific challenges.
- Work closely with engineers and product managers to productionize prototypes into scalable tools.
- Suggest improvements to model interpretability, automation, and monitoring frameworks based on field deployment.
Other
- 5+ years in data science, analytics, or machine learning roles, preferably within advertising, martech, or SaaS environments.
- Bachelor’s degree required, MS preferred.
- Ability to communicate complex technical concepts clearly to non-technical stakeholders.
- Entrepreneurial mindset with the confidence to own ambiguous, high-impact initiatives from start to finish.
- Requires working knowledge of digital ad campaign workflow and customer service
