OverviewHow You’ll Make an ImpactAs a Senior Data Scientist in our Decision Sciences R&D organization, you will be responsible for researching and building optimization, control theory, simulation, and machine learning applications to extend Epsilon Digital’s ad personalization platform. Epsilon’s business is based on analyzing anonymized data at Internet scale and evaluating more than one trillion advertising opportunities per month in real-time. You will work on real-world problems as part of our highly collaborative R&D team, and your solutions will directly and rapidly impact our business. This includes analyzing raw source data and derived data; researching and developing models, algorithms, and applications; building tools and analyses for new and existing products; and presenting findings.What You’ll Achieve
Understand and Innovate:Gain deep insights into Epsilon’s ad personalization platform and proprietary datasets to drive innovation.
Research and Development:Apply your expertise in optimization, control theory, simulation, or machine learning to develop and recommend solutions for complex technology and business challenges.
Solution Implementation: Design, implement, and validate advanced solutions using Apache Hive, Spark, Python, or Scala on large-scale computing clusters.
Collaborative Integration: Work closely with Engineering teams to integrate your solutions seamlessly into Epsilon’s platform.
Active Participation:Engage fully in our collaborative research and application projects, contributing to the team’s collective success.
Who You Are
What you’ll bring with you:
Educational Background: Ph.D. in Computer Science, Operations Research, Electrical Engineering, Statistics, Mathematics, Physics, Economics, or a related scientific discipline.
Technical Expertise: Demonstrated research experience and coursework in optimization, control theory, machine learning, or simulation.
Programming Proficiency: Strong fluency in programming and experience with large data sets.
Analytical Skills: In-depth understanding of modeling and statistical techniques.
Team Collaboration: Enthusiasm for working in a collaborative, dynamic environment.
Why you might stand out from other talent:
Distributed Computing: Experience with Hadoop, Spark, or similar technologies.
Technical Tools: Familiarity with Python, SQL, or Scala.
Domain Knowledge: Experience in modeling or analyzing consumer behavior, market dynamics, or auctions.
Additional InformationWhen You Join Us, We’ll Create Something EPIC TogetherEpsilon 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.Epsilon has a core set of 5 values that define our culture and guide us to create value for our clients, our people and consumers. We are seeking candidates that align with our company values, demonstrate them and make them meaningful in their day-to-day work:
Act with integrity. We are transparent and have the courage to do the right thing.
Work together to win together. We believe collaboration is the catalyst that unlocks our full potential.
Innovate with purpose. We shape the market with big ideas that drive big outcomes.
Respect all voices. We embrace differences and foster a culture of connection and belonging.
Empower with accountability. We trust each other to own and deliver on common goals.
Because You MatterAs 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), 14 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 LeaveofAbsence@epsilon.com 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.
Full-time