PhD Associate Director, Data Science R&D (Decision Sciences Identity Team - Chicago or Remote)
Chicago, IL, United States
Applications have closed
Publicis Groupe
Job Description
In this role, you will assume leadership of a research team of PhD Data Scientists who are driving R&D efforts to advance Epsilon's householding identity match capabilities. The team leverages data science, machine learning and other disciplines to create new data-driven capabilities for our real-time digital marketing business. You will individually contribute to Identity-related R&D projects, contribute to our strategic vision, and create opportunities that directly impact the success of the business, as well as support, mentor, and directly manage those within your team.
We prioritize analytical thinking, creativity, and computer science skills over ad tech industry experience. If using internet-scale data to drive business impact excites you, and you enjoy the kind of problem-solving that starts with a blank sheet of paper and results in a new technological reality, we want to talk to you.
Responsibilities
- Lead and manage team contributions on data science and machine learning R&D projects related to household-level identity
- Individually contribute to data science and machine learning R&D projects
- Manage research projects and recommend solutions to technology and business problems
- Manage a team of PhD Research Scientists, directly reporting to you
- Hire additional research scientists and other talent to build a highly productive team
- Work with Product and Engineering stakeholders to identify requirements and develop an R&D roadmap
Additional Information
When you’re one of us, you get to run with the best. 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. Epsilon’s best-in-class identity gives brands a clear, privacy-safe view of their customers, which they can use across our suite of digital media, messaging and loyalty solutions. We process 400+ billion consumer actions each day 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. Positioned at the core of Publicis Groupe, Epsilon is a global company with more than 8,000 employees around the world. Check out a few of these resources to learn more about what makes Epsilon so EPIC:
- Culture: https://www.epsilon.com/us/about-us/our-culture-epsilon
- DE&I: https://www.epsilon.com/us/about-us/diversity-equity-inclusion
- CSR: https://www.epsilon.com/us/about-us/corporate-social-responsibility
- Life at Epsilon: https://www.epsilon.com/us/about-us/epic-blog
Great People Deserve Great Benefits
We know that we have some of the brightest and most talented associates in the world, and we believe in rewarding them accordingly. If you work here, expect competitive pay, comprehensive health coverage, and endless opportunities to advance your career.
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.
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.
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Tags: Computer Science Engineering Machine Learning PhD Privacy R R&D Research
Perks/benefits: Career development Competitive pay Health care
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