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Epsilon

Ph.D Data Scientist, R&D

Epsilon, Little Ferry, New Jersey, us, 07643


Click the 'Apply' button to submit your application through Offered.ai and learn more about Epsilon and the role.Job DescriptionIn this role, you will contribute to research initiatives and develop enhancements to Epsilon’s CORE Personalization Platform to continually increase the capabilities of Epsilon’s digital marketing businesses.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 research that starts with a blank sheet of paper that turns ideas into a new technological reality, we want to talk to you.ResponsibilitiesIndividually contribute to data science and machine learning R&D projectsUse your data science, machine learning, and/or computer science skills to conduct research and contribute to solutions to technology and business problemsContribute to projects from early-stage research through developmentImplement and optimize state-of-the-art algorithms in distributed environmentsDevelop an understanding of Epsilon PeopleCloud Digital Media Solutions personalization platform and proprietary datasetsParticipate fully in our collaborative approach to research and applications projectsQualificationsPh.D. in a computational, mathematical, engineering, or scientific fieldFluency in computer programming, data structures, and algorithm designProven analytic and modeling skillsProven ability to conduct research projectsResearch experience in a computational area such as data science, computer science, machine learning, artificial intelligence, statistics, or graph algorithmsVerbal and written communication skills, including the ability to summarize technically complex information for a non-technical audienceOrganizational, motivational, and interpersonal skillsAdditional, But Not Required SkillsSpark librariesScala programmingPython programmingSQL queriesExperience with distributed computingExperience with Hadoop and cloud databasesDemonstrated proficiency working with business and technical teams to integrate algorithms into product platforms on large data setsAbout EpsilonEpsilon is a global advertising and marketing technology company positioned at the center of Publicis Groupe. Epsilon accelerates 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. The company’s industry-leading technology connects advertisers with consumers to drive performance while respecting and protecting consumer privacy.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.Great People Deserve Great BenefitsWe 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.

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