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Publicis Groupe

PhD Data Scientist, R&D (Remote)

Publicis Groupe, Irving, Texas, United States, 75084


How You’ll Make an ImpactAs a 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.Key Responsibilities: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.Skills & Experience: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.Additional Skills (Preferred but Not Required):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.Salary Range:

$135,000.00 - $148,000.00Application Deadline:

10/20/2024Additional Information

Epsilon at Our COREEpsilon is a global advertising and marketing technology company positioned at the center of Publicis Groupe. Our products accelerate our clients’ ability to harness the power of their first-party data to activate campaigns across channels and devices, with an unparalleled ability to prove outcomes. For decades, we’ve been helping marketers from the world’s top brands personalize experiences for millions of people with our cutting-edge technology, solutions and services.Company Values: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.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.

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