Lead Research Data Scientist (Decision Sciences IQ Team)
Overview
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.
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
- 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
- Familiarity using LLMs and agentic frameworks
- Experience with Natural Language Processing, Information Retrieval, Mathematical Optimization, Control Theory, Time-Series Analysis, or Causal Inference
Benefits
- Time to Recharge: Flexible time off (FTO), 15 paid holidays
- Time to Recover: Paid sick time
- Family Well-Being: Parental/new child leave, childcare & elder care assistance, adoption assistance
- Extra Perks: Comprehensive health coverage, 401(k), tuition assistance, commuter benefits, professional development, employee recognition, charitable donation matching, health coaching and counseling
Additional Information
When You Join Us, We’ll Create Something EPIC Together
Epsilon is a global data, technology and services company that powers the marketing and advertising ecosystem. For decades, we’ve provided marketers from the world’s leading brands the data, technology and services they need to engage consumers with 1 View, 1 Vision and 1 Voice. 1 View of their universe of potential buyers. 1 Vision for engaging each individual. And 1 Voice to harmonize engagement across paid, owned and earned channels.
Company Information
- Epsilon is an Equal Opportunity Employer
- Epsilon’s policy is not to discriminate against any applicant or employee based on actual or perceived race, age, sex or gender (including pregnancy), marital status, national origin, ancestry, citizenship status, mental or physical disability, religion, creed, color, sexual orientation, gender identity or expression (including transgender status), veteran status, genetic information, or any other characteristic protected by applicable federal, state or local law.
- Compensation Range: USD $93,500.00 - USD $173,700.00/Annually