Senior Data Scientist -- Measurement & Optimization Offering (Adtech & Martech)
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- United States
- Work type
- Remote
- Posted
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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, ArkansasAdditional 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.
About Us
We are leaders in helping brands achieve the number one mantra for every business – know your customer. For fifty years, we’ve helped marketers deal with a fast-changing future of growing channels, data and technology. By understanding the customer, marketers can communicate with relevance everywhere and drive better customer experiences that build a better brand and, in turn, better business.
We’re one of the marketing industry’s most experienced, respected and forward-thinking leaders. For nearly fifty years, we’ve helped the world’s best marketers understand their customers so that they can reach people with relevance rather than randomness. Our products and solutions form the data foundation that make it possible for marketers to drive better customer experiences and meaningful interactions at scale across every channel.
Our job opportunities will give you the opportunity to showcase your talents, grow your skills, and expose you to cutting-edge technologies, whether you’re an engineer, developer, products guru, systems and security expert, sales and consulting executive, or an intern looking to gain real experience with a company that will make you stand out.
At Acxiom, our values begin with our associates, who are the single most important driver of our success. We’re looking to hire people who share our core values: collaboration, excellence, innovation, a focus on outcomes, and being empowered to make and own decisions that benefit our clients and our company. Our values represent our brand promise – to our clients and to our associates – and define our company culture.
If you are interested in applying for employment with Acxiom and need special assistance or an accommodation to apply for a posted position, contact our recruiting department at 1-877-314-2049.
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Compliance
Attention California Applicants: Please see our CCPA/CPRA Privacy Act notice here.
Attention Colorado, California, Connecticut, Maryland, Massachusetts, 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.
*Note: Offers for recruitment from any websites featuring the Acxiom name or its variations, other than those listed here: www.acxiom.com, www.acxiom.co.uk, and www.acxiom.de are fraudulent. Please do not engage with these sites.
