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# Data Scientist - MMM

- **Company:** Dataworks, Inc.
- **Location:** Dallas, TX, United States (Remote available)
- **Experience:** Experienced
- **Salary:** $55,000.0 - $60,000.0
- **Contract:** Permanent contract
- **Skills:** A/B Testing, Data Analysis, Big Data, Statistical Hypothesis Testing, Python (Programming Language), NumPy, Standard Sql, SQL Databases, Data Processing, Large Language Models, Pandas, Scikit Learn, Data Analytics
- **Published:** June 20, 2026
- **Apply:** https://arc.dev/remote-jobs/j/dataworks-data-scientist-mmm-oyaxaxn1mq

## About the Role

Must-have:

 * 2-4 years of hands-on experience in a Data Science or Analytics role
 * Strong foundation in statistics, hypothesis testing, regression, and experimental design
 * Proficiency in Python (pandas, numpy, statsmodels, scikit-learn)
 * SQL experience for data wrangling and analysis
 * Experience with marketing analytics and causal inference - Marketing Mix Modeling (MMM) and Attribution Modeling have no secrets for you
 * Strong communication and stakeholder engagement skills

## Description

You'll work on high-impact projects, building statistical models, experimentation frameworks, and marketing effectiveness tools. From marketing mix modelling to A/B testing, your work will directly support cross-functional teams in making informed, data-driven decisions.

You'll collaborate with engineers, analysts, and business stakeholders to develop scalable solutions and translate insights into real-world impact., * Build and implement statistical models for customer and marketing analytics

 * Design A/B tests and incrementality frameworks to measure business impact
 * Develop and maintain marketing mix models to evaluate campaign performance
 * Work with large datasets using Python and SQL
 * Communicate insights clearly to non-technical stakeholders
 * Collaborate with technical teams to bring models into production
 * Continuously improve model performance and business integration
 * Working in a global team with a focus on GenAI / LLMs.


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