Lead Research Data Scientist (Decision Sciences IQ Team)

Epsilon’s Decision Sciences IQ team is looking for a Lead Research Scientist to join our team. The DSIQ team is responsible for integrating machine learning capabilities into our Epsilon PeopleCloud suite of marketing SaaS offerings, primarily focused on our Cleanroom, Customer Data Platform and Loyalty solutions. You will work on a Data Science team focused on creating automated, repeatable segmentation, predictive modeling, and GenAI solutions. These solutions improve Epsilon’s clients’ marketing performance by applying our PeopleCloud product suite. You have strong machine learning background and are passionate about transforming data into productionized machine learning solutions. You welcome the challenge of data science and are proficient in Python, Spark MLLib, Tensorflow, Keras, ML algorithms, Deep Neural Networks, big data, and cloud computing. You must be dedicated, take initiative, demonstrate a strong desire to learn, and want to work in a collaborative, dynamic and innovative group.

• Manage projects end-to-end from early-stage research through development, in consultation with stakeholders
• Develop an understanding of DSIQ’s modeling platform and Epsilon’s proprietary datasets
• Use your data science and machine learning expertise to research and recommend the best approaches to solving our technology and business problems
• Design, implement, and validate productized analytic pipelines at scale using a variety of tools (Databricks, Spark, Python, Mllib, Keras, TensorFlow, Git, Jira, Confluence, etc.)
• Work with our Engineering teams to integrate your solutions into Epsilon’s PeopleCloud SaaS solutions
• Participate fully in our collaborative culture by sharing knowledge, debating techniques, and conducting research to advance the collective knowledge and skills of the team

• A Ph.D. in Computer Science, Statistics, Linguistics, Electrical Engineering, Mathematics, Economics, Physics, Operations Research, or a related scientific discipline
• Research experience and coursework in Machine Learning
• 1+ years of experience managing research and development projects
• 2+ years of relevant programming experience through academic research, internships, or industry experience
• Strong programming skills in Python and experience working with research or production code
• Experience with large data sets
• Strong understanding of modeling and statistical techniques
• Desire to work in a highly collaborative environment
• Strong communication & interpersonal skills with an ability to communicate ideas, and complex solutions effectively

Additional, But Not Required Skills

• Experience with distributed and cloud computing platforms, such as Hadoop, Spark, AWS, Databricks, or related technologies
• Experience with SQL, Python
• Familiarity using LLMs and agentic frameworks.
• Experience with Natural Language Processing, Information Retrieval, Mathematical Optimization, Control Theory, Time-Series Analysis, or Causal Inference