Epsilon

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
<ul>
<li>Manage projects end-to-end from early-stage research through development, in consultation with stakeholders</li>
<li>Develop an understanding of DSIQ’s modeling platform and Epsilon’s proprietary datasets</li>
<li>Use your data science and machine learning expertise to research and recommend the best approaches to solving our technology and business problems</li>
<li>Design, implement, and validate productized analytic pipelines at scale using a variety of tools (Databricks, Spark, Python, Mllib, Keras, TensorFlow, Git, Jira, Confluence, etc.)</li>
<li>Work with our Engineering teams to integrate your solutions into Epsilon’s PeopleCloud SaaS solutions</li>
<li>Participate fully in our collaborative culture by sharing knowledge, debating techniques, and conducting research to advance the collective knowledge and skills of the team</li>
</ul>
Qualifications
Qualifications
<ul>
<li>A Ph.D. in Computer Science, Statistics, Linguistics, Electrical Engineering, Mathematics, Economics, Physics, Operations Research, or a related scientific discipline</li>
<li>Research experience and coursework in Machine Learning</li>
<li>1+ years of experience managing research and development projects</li>
<li>2+ years of relevant programming experience through academic research, internships, or industry experience</li>
<li>Strong programming skills in Python and experience working with research or production code</li>
<li>Experience with large data sets</li>
<li>Strong understanding of modeling and statistical techniques</li>
<li>Desire to work in a highly collaborative environment</li>
<li>Strong communication &amp; interpersonal skills with an ability to communicate ideas, and complex solutions effectively</li>
</ul>
Additional, But Not Required Skills
<ul>
<li>Experience with distributed and cloud computing platforms, such as Hadoop, Spark, AWS, Databricks, or related technologies</li>
<li>Experience with SQL, Python</li>
<li>Familiarity using LLMs and agentic frameworks.</li>
<li>Experience with Natural Language Processing, Information Retrieval, Mathematical Optimization, Control Theory, Time-Series Analysis, or Causal Inference</li>
</ul>
Click here to view how Epsilon transforms marketing with 1 View, 1 Vision, 1 Voice.
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.
Epsilon’s comprehensive portfolio of capabilities across our suite of digital media, messaging and loyalty solutions bridge the divide between marketing and advertising technology. We process 400+ billion consumer actions each day using advanced AI and hold many patents of proprietary technology, including real-time modeling languages and consumer privacy advancements. Thanks to the work of every employee, Epsilon has been consistently recognized as industry-leading by Forrester, Adweek and the MRC. Epsilon is a global company with more than 9,000 employees around the world.
Our pillars aren't just words. They're how we show up every day.
<ul>
<li>People centricity: We focus on employee well-being in an environment where colleagues truly care about each other.</li>
<li>Collaboration: We work together, support one another, and collectively achieve goals.</li>
<li>Growth: There are endless opportunities for growth through learning, development and career advancement.</li>
<li>Innovation: We drive progress through cutting-edge solutions and forward-thinking approaches.</li>
<li>Flexibility: We’ve created a balance between work and personal life, and we encourage adaptability to solve problems creatively.</li>
</ul>
Our values guide us to create value for our clients, our people and consumers.
<ul>
<li>Act with integrity</li>
<li>Work together to win together</li>
<li>Innovate with purpose</li>
<li>Respect all voices</li>
<li>Empower with accountability</li>
</ul>
These pillars and values are our foundation—shaping our culture, guiding our decisions, and uniting us in common purpose.
Because You Matter
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:
<ul>
<li>Time to Recharge: Flexible time off (FTO), 15 paid holidays</li>
<li>Time to Recover: Paid sick time</li>
<li>Family Well-Being: Parental/new child leave, childcare &amp; elder care assistance, adoption assistance</li>
<li>Extra Perks: Comprehensive health coverage, 401(k), tuition assistance, commuter benefits, professional development, employee recognition, charitable donation matching, health coaching and counseling</li>
</ul>
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 <a href="mailto:LeaveofAbsence@epsilon.com" rel="nofollow noopener" target="_blank">LeaveofAbsence@epsilon.com</a> 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 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 9/11/2026.

Lead Research Data Scientist (Decision Sciences IQ Team)

Lead Research Data Scientist (Decision Sciences IQ Team)

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