Lead, Data Scientist - Decision Sciences Identity Team

About the role

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, But Not Required Skills

• 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
• Experience in partnering 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

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

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.

Application Instructions

The application deadline for this job posting is August 31, 2026.