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. Responsibilities 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 Qualifications Qualifications A Ph.