Employment Information
Job Description
In this role, you will research and develop enhancements to Epsilon’s CORE Personalization Platform to continually increase the capabilities of Epsilon’s digital marketing businesses.
The Decision Sciences group is a collaborative, multi-disciplinary R&D team combining data science, machine learning, AI, computer science, and more. Our colleagues love the fast-paced, dynamic work environment, the speed with which we translate research to business impact, the opportunity to continually learn new knowledge and skills, the internal research seminars, the external training opportunities, and the excellent work-life balance our culture promotes.
We prioritize talent and potential over having closely similar prior experience. If using internet scale data to drive business impact excites you, we want to talk to you.
Responsibilities
- Conduct projects from early stage research through development, in consultation with stakeholders
- Use your expertise in data science, machine learning, and/or computer science to research and recommend solutions to our technology and business problems
- Provide technology leadership to yield innovative differentiating solutions
- Implement and optimize state of the art algorithms in distributed environments
- Participate fully in our collaborative approach to research and applications projects
- Develop an understanding of Epsilon PeopleCloud Digital Media Solutions personalization platform and proprietary datasets
Qualifications
- Ph.D in a computational, mathematical, engineering, or scientific field
- Research experience in a computational area such as data science, computer science, machine learning, artificial intelligence, statistics, or graph algorithms
- Fluency in programming
- Analytic and modeling skills; proficient at conceptualizing, implementing, and evaluating accurate and scalable solutions to business problems
- Verbal and written communication skills, including the ability to summarize technically complex information for a non-technical audience
Additional, But Not Required Skills
- Experience with distributed computing
- Demonstrated proficiency working with business and technical teams to integrate algorithms into product platforms on large data sets
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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