Lead Data Scientist

Company Description Epsilon’s Decision Sciences Identity (DSI) team seeks a PhD-level Lead Research Scientist to advance the Identity Resolution Platform that powers real-time digital marketing at internet scale. You will contribute to research and development initiatives that expand identity capabilities across Epsilon’s marketing businesses, transforming novel ideas into production technologies with measurable business impact. This role sits at the core of Epsilon’s identity platform, tackling complex, ambiguous problems using large-scale data. Working closely with engineering and product teams, you will apply analytical rigor, creativity, and strong computer science fundamentals to develop scalable identity solutions that improve marketing performance for leading brands. Responsibilities Individually contribute to data science and machine learning R&D projects Use data science, machine learning, and/or computer science skills to conduct research and contribute to solutions to technology and business problems Contribute to projects from early-stage research through development Implement and optimize innovative algorithms in distributed environments Develop an understanding of Epsilon personalization platform and proprietary datasets Participate fully in our collaborative approach to research and applications projects Qualifications Ph.D. in Computer Science, Electrical Engineering, Statistics, Mathematics, Economics, Physics, Chemistry, Operations Research, or related quantitative field Research experience and coursework in Machine Learning Strong understanding of statistical, analytical, and predictive modeling techniques Strong Python programming skills and experience with data structures, algorithms, and production-quality code development 2+ years of relevant programming experience through academic research, internships, or industry work Ability to code independently without AI as well as effectively leverage AI-assisted development tools Proven ability to design, execute, and deliver research projects Excellent communication and interpersonal skills, including ability to translate complex technical concepts for non-technical audiences Self‑motivated, highly organized, and collaborative, with the ability to manage multiple priorities in highly collaborative, team‑oriented environments Additional Skills (Not Required) Experience with graphs/networks and unsupervised clustering algorithms (community detection on graphs) Experience working with large, complex datasets in research or production environments Experience with distributed computing and large-scale data processing (Spark, Hadoop, Databricks, cloud databases) Experience with cloud platforms and data ecosystems (AWS, S3, Databricks) Proficiency in SQL, Scala, Spark libraries, and advanced database querying Familiarity with LLMs, Generative AI, and agentic frameworks Experience in one or more advanced domains: Community Detection on Graphs, Unsupervised Learning, NLP, Information Retrieval, Mathematical Optimization, Control Theory, Time‑Series Analysis, or Causal Inference Ability to partner with business and technical collaborators to deploy algorithms into production platforms Experience translating research innovations into scalable, customer‑facing products Additional research experience in computational fields such as data science, AI/ML, statistics, computer science, or graph algorithms 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 Epsilon benefits are subject to eligibility requirements and other terms. Equal Employment Mandates 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. Mandatory Mandates for San Francisco Bay and Los Angeles Areas 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 $87,100.00 - 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 8/31/2026. #J-18808-Ljbffr