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.
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.
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
- years of experience managing research and development projects
- 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 Skills (Not Required)
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
Benefits
As an Epsilon employee, you deserve perks and benefits that put you, your family and your finances first. Our benefits encompass a wide range of offerings, including but not limited to the following:
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
Epsilon benefits are subject to eligibility requirements and other terms.
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. Epsilon also prohibits harassment of applicants and employees based on any of these protected categories. Epsilon will provide accommodations to applicants needing accommodations to complete the application process. Please reach out to
View email address on click.appcast.io to request an accommodation.
For San Francisco Bay and Los Angeles Areas: Epsilon will consider for employment qualified applicants with criminal histories in a manner consistent with the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance and San Francisco Police Code Sections 4901-4919, commonly referred to as the San Francisco Fair Chance Ordinance. Applicants with criminal histories are welcome to apply.
Compensation
Compensation Range: USD $93,500.00 - USD $173,700.00/Annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. Temporary roles may also qualify for participation in our 401(k) plan after eligibility criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 7/30/2026.
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