Data Science Intern (PhD) – Summer ‘23 (Remote)

Chicago, IL, United States

Applications have closed

Job Description

Epsilon is seeking a Data Science Intern. As a Data Science Intern, you’ll be part of a team that focuses on researching and building machine learning applications to extend our personalization platform. Epsilon’s personalization is based on analysis of anonymized data at internet scale and is used in evaluating 1 trillion advertising opportunities per month – in real-time. As an Intern you will be able to apply your field of study to real problems with an opportunity to directly impact our business, gaining experience with internet-scale data and state-of-the-art computing clusters.

As an intern you’ll participate in a formal Intern Program, which is an 11-week summer program that aims to create a meaningful early career experience for university students. The program offers professional development & hands-on training, networking opportunities with people throughout the business including multiple projects & social events, and the consideration for full-time employment.

Responsibilities May Include (All or Some) Tasks Below:

  • Develop a basic understanding of Epsilon’s personalization platform
  • Use your machine learning expertise to research and recommend the best approaches to solving one of our technology and business problems
  • Implement and validate your solution
  • Work with other teams to integrate your solution into Epsilon’s platform
  • Document and present your approach

Qualifications:

  • In a graduate program in Data Science, Statistics, Computer Science, Mathematics, Engineering, Linguistics, or related field
  • Research experience and coursework in data science, machine learning, graph theory, optimization, or language processing.
  • Fluent in programming (Scala, SQL, Python, or R a plus)
  • Experience with Large Data Sets (Hadoop, Spark, Cassandra, or MPP a plus)
  • Desire to work in a highly collaborative environment
  • Desire to apply your expert knowledge to grow a business

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:

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.

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: Cassandra Computer Science Engineering Hadoop Linguistics Machine Learning Mathematics MPP PhD Privacy Python R Research Scala Spark SQL Statistics

Perks/benefits: Career development Equity Team events

Regions: Remote/Anywhere North America
Country: United States
Job stats:  67  22  0

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