Senior Data Scientist – Measurement & Optimization, Adtech, Martech

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🔥 0 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

📊 Data Scientist

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Acxiom

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1968

💼 Consulting

🏥 Healthcare

🍽️ Food & Beverage

Consulting • Healthcare • Food & Beverage

Acxiom is a leading data service provider that specializes in leveraging data management, identity resolution, analytics, and martech services to help businesses enhance their marketing efforts. With a commitment to the ethical use of data, Acxiom offers solutions across various industries such as automotive, healthcare, telecommunications, financial services, and retail. Their expertise aids in optimizing marketing strategies to acquire, retain, and grow customer relationships. Acxiom partners with renowned platforms such as Adobe, Salesforce, and Snowflake to drive data-driven marketing and enable digital transformation for their clients.

📋 Description

• 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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