Employer: Epsilon Data Management LLC
Job Title: Senior Scientist, Decision Sciences
Job Requisition: 6630.5708.10
Job Location: 6021 Connection Drive, Irving, Texas 75039, and various, unanticipated sites throughout the United States.
Job Type: Full Time
Duties: Conduct research into fundamental computer and information science as theorists, designers, or inventors. Define, design and develop algorithms and software in projects which involve research and software development in Machine Learning. Build out data sets and models using Machine Learning techniques for testing and production. Conduct quantitative analytics for use in a variety of areas related to advertising technology including applications such as user modeling and profiling, user targeting, user recommendation, product recommendation, and media and content analysis. Perform software architecture design and development in a highly-scalable and distributed computing environment for productionization at scale of machine learning algorithms and models for use in advertising technology. Conduct data analysis, including feature engineering, to gain a deep understanding of raw source data and derived data from both consumer and product level data. Conduct original research in the fields of Machine Learning and recommender systems. Train and support operational team to operate and troubleshoot the existing platform. Mentor junior colleagues to help them understand and use methods and techniques of the existing platform. Lead projects including integration of technologies by collaborating with teams, organizational stakeholders, and contributors to bring research to production and enhance the capability of the existing platform. Present findings and build tools for new and existing products.
Requirements: Employer will accept a Ph.D in Computer Science, Engineering, Information Technology, or related field and one year of experience in the job offered or one year of experience in a related occupation. Experience must include one year of experience in each of the following:
Must be available to work at various, unanticipated sites throughout the U.S.
Contact: In order to be considered for this position, you must send resume to: NARecruitment@epsilonconversant.com. Must reference job 6630.5708.10.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:
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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.