Senior Data Scientist – Measurement & Optimization, Adtech, Martech
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Job Description
Senior Data Scientist developing attribution, incrementality, and marketing mix models for Acxiom’s privacy-safe adtech and martech analytics offering.
Responsibilities:
- Support the design, build, and validation of incrementality/lift, multi-touch attribution, marketing mix modeling, and rules-based attribution models under the guidance of senior data scientists
- Perform exploratory data analysis and feature engineering on large datasets spanning media exposure, commerce, and engagement sources
- Collaborate with Data Engineering to validate data quality and feature pipelines feeding into models
- Support integration and testing of new partner/exposure data sources into modeling workflows
- Document methodologies and contribute to internal playbooks for repeatable measurement delivery
- Monitor deployed models and flag data or performance issues
- Assist in applying privacy-preserving analytical techniques to deliver aggregate insights without exposing individual-level data
- Build and maintain scoring, segmentation, and propensity models as part of the broader identity graph analytics stack
- Turn ambiguous business questions into repeatable, standardized measurement products
- Work with media, commerce, engagement, outcome, identity-linked, Real ID, and clean-room data in a privacy-safe analytics environment
Requirements:
- Master’s degree in Statistics, Computer Science, Applied Mathematics, Economics, or a related field
- 5+ years of experience in applied data science or analytics
- Working knowledge of statistical modeling, hypothesis testing, and causal inference concepts
- Proficiency in Python and/or R and SQL
- Exposure to marketing measurement concepts (incrementality, attribution, MMM) and media metrics (impressions, reach/frequency, attribution windows), or demonstrated ability to learn quickly
- Comfort working with large, complex, multi-source datasets on cloud/data platforms such as Snowflake, Databricks, or AWS
- Strong analytical and communication skills
- Internship or prior work experience in AdTech/MarTech or a data-driven product environment preferred
- Exposure to identity resolution, graph-based data structures, or clean room environments preferred
- Familiarity with Tableau, Looker, or Power BI preferred
- Exposure to partner/API data integrations with walled gardens or retail media platforms preferred
- Coursework or project experience in causal inference or experimental design preferred
- Exposure to LLMs, RAG, MCP, and AI coding assistants such as Claude Code or GitHub Copilot preferred
- Sound practices for validating AI-generated code and agentic or AI-assisted workflows
Benefits:
- Equal opportunity employer, including disability and protected veteran status
- Remote/homebased work arrangement
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