Senior Data Scientist – Measurement & Optimization, Adtech, Martech

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

📋 Description

• Assist in the design, development, and validation of incrementality/lift, multi-touch attribution, marketing mix modeling, and rules-based attribution models under the mentorship of senior data scientists.

• Conduct exploratory data analysis and feature engineering on extensive datasets encompassing media exposure, commerce, and engagement sources.

• Collaborate with Data Engineering to ensure the quality of data and feature pipelines that contribute to model development.

• Aid in the integration and testing of new partner/exposure data sources within modeling workflows.

• Document methodologies and contribute to internal playbooks for consistent measurement delivery.

• Monitor implemented models and identify any data or performance concerns.

• Support the application of privacy-preserving analytical techniques to provide aggregate insights without revealing individual-level data.

• Develop and maintain scoring, segmentation, and propensity models as part of the comprehensive identity graph analytics stack.

• Transform unclear business inquiries into repeatable, standardized measurement products.

• Work with media, commerce, engagement, outcome, identity-linked, Real ID, and clean-room data in a privacy-compliant analytics setting.

⛳️ Requirements

• Master’s degree in Statistics, Computer Science, Applied Mathematics, Economics, or a related discipline.

• Over 5 years of experience in applied data science or analytics.

• Proficient understanding of statistical modeling, hypothesis testing, and causal inference concepts.

• Expertise in Python and/or R and SQL.

• Familiarity with marketing measurement concepts (incrementality, attribution, MMM) and media metrics (impressions, reach/frequency, attribution windows), or a proven ability to learn rapidly.

• Comfortable working with large, intricate, multi-source datasets on cloud/data platforms such as Snowflake, Databricks, or AWS.

• Strong analytical and communication abilities.

• Previous internship or work experience in AdTech/MarTech or a data-driven product setting is preferred.

• Familiarity with identity resolution, graph-based data structures, or clean room environments is advantageous.

• Knowledge of Tableau, Looker, or Power BI is preferred.

• Experience with partner/API data integrations with walled gardens or retail media platforms is desirable.

• Coursework or project experience in causal inference or experimental design is preferred.

• Exposure to LLMs, RAG, MCP, and AI coding assistants such as Claude Code or GitHub Copilot is beneficial.

• Solid practices for validating AI-generated code and agentic or AI-assisted workflows.

🏝️ Benefits

• Equal opportunity employer, including disability and protected veteran status.

• Remote/home-based work arrangement.