Senior Data Scientist -- Measurement & Optimization Offering (Adtech & Martech)

About the role

We are seeking a Senior Data Scientist to support Acxiom's Measurement & Optimization offering, building and maintaining the models and analyses behind incrementality/lift, multi-touch attribution, marketing mix modeling, and rules-based attribution. The primary focus of this role is measurement methodology support.

You will work with large datasets that combine media, commerce, engagement, and outcome signals, helping turn ambiguous business questions into repeatable, standardized measurement products. Over time you will also work with identity-linked data, Real ID and clean rooms; identity and clean-room exposure is a valued secondary skill set. This is a strong opportunity for a data scientist who wants to build applied statistics/ML skills in a large-scale, privacy-safe analytics environment.

DUTIES AND RESPONSIBILITIES

Primary: Measurement methodology

Support the design, build, and validation of incrementality/lift, MTA, MMM, 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

Secondary: Identity and clean-room measurement

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

QUALIFICATIONS

Required

Master’s degree in Statistics, Computer Science, Applied Mathematics, Economics, or a related field, plus 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 (e.g., Snowflake, Databricks, AWS)

Strong analytical and communication skills

Preferred

Internship or prior work experience in AdTech/MarTech or a data-driven product environment

Exposure to identity resolution, graph-based data structures, or clean room environments

Familiarity with visualization tools (e.g., Tableau, Looker, Power BI)

Exposure to partner/API data integrations with walled gardens or retail media platforms

Coursework or project experience in causal inference or experimental design

Exposure to LLMs, RAG, MCP, and AI coding assistants (e.g., Claude Code, GitHub Copilot) to accelerate analysis and documentation, with sound practices for validating AI-generated code and agentic or AI-assisted workflows

Primary Location City/State:

Homebased - Conway, Arkansas

Additional Locations (if applicable):

Acxiom is an equal opportunity employer, including disability and protected veteran status (EOE/Vet/Disabled) and does not discriminate in recruiting, hiring, training, promotion or other employment of associates or the awarding of subcontracts because of a person's race, color, sex, age, religion, national origin, protected veteran, military status, physical or mental disability, sexual orientation, gender identity or expression, genetics or other protected status.

Attention California Applicants: Please see our CCPA/CPRA Privacy Act notice here .

Attention Colorado, California, Connecticut, Massachusetts, Maryland, Nevada, New Jersey, New York City, Ohio, Rhode Island, Virginia, and Washington Applicants: This position is not located in the aforementioned locations but applications for remote work may be considered. For information about this role under state or local equal pay or pay transparency laws, please contact compensation@acxiom.com .

Posting text as published by Acxiom.

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senior From the job title

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full time

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Remote/Homebased, United States of America

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