at Publicis Groupe in Chicago, Illinois, United States
Job Description
Company Description
Job Description
In 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.
Responsibilities
+ Individually contribute to data science and machine learning R&D projects
+ Use your data science, machine learning, and/or computer science skills to conduct research and contribute to solutions to technology and business problems
+ Contribute to projects from early-stage research through development
+ Implement and optimize state-of-the-art algorithms in distributed environments
+ Develop an understanding of Epsilon PeopleCloud Digital Media Solutions personalization platform and proprietary datasets
+ Participate fully in our collaborative approach to research and applications projects
Qualifications
+ Ph.D. in a computational, mathematical, engineering, or scientific field
+ Fluency in computer programming, data structures, and algorithm design
+ Proven analytic and modeling skills
+ Proven ability to conduct research projects
+ Research experience in a computational area such as data science, computer science, machine learning, artificial intelligence, statistics, or graph algorithms
+ Verbal and written communication skills, including the ability to summarize technically complex information for a non-technical audience
+ Organizational, motivational, and interpersonal skills
Additional, But Not Required Skills
+ Spark libraries
+ Scala programming
+ Python programming
+ SQL queries
+ Experience with distributed computing
+ Experience with Hadoop and cloud databases
+ Demonstrated proficiency working with business and technical teams to integrate algorithms into product platforms on large data sets
Salary Range: $135,000 – $148,000
The application deadline for this job posting is 09/08/2024
Qualifications
Additional Information
Epsilon at Our CORE ?
Epsilon is a global advertising and marketing technology company positioned at the center of Publicis Groupe. Our products accelerate our 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.? 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. Our best-in-class identity gives brands a clear, privacy-safe view of their customers, which they can use across our suite of digital media, retail 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.???
Curious about life at Epsilon (https://www.epsilon.com/us/about-us/epic-blog) ?? Explore Our Culture, (https://www.epsilon.com/us/about-us/our-culture-epsilon) DE&I initiatives, and our commitment to our communities (https://www.epsilon.com/us/about-us/corporate-social-responsibility) .??
Epsilon has a core set of 5 values that define our culture and guide us to create value for our clients, our people and consumers. We are seeking candidates that align with our company values, demonstrate them and make them meaningful in their day-to-day work:
+ Act with integrity. We are transparent and have the courage to do the right thing.
+ Work together to win together. We believe collaboration is the catalyst that unlocks our full potential.
+ Innovate with purpose. We shape the market with big ideas that drive big outcomes.
+ Respect all voices. We embrace differences and foster a culture of connection and belonging.
+ Empower with accountability. We trust each other to own and deliver on common goals.
Because You Matter
As an Epsilon employee, you deserve perks and benefits that put you, your family and your finances first.? Our benefits encompass a wide range of offerings, including but not limited to the following:?
+ Time to Recharge : Flexible time off (FTO), 14 paid holidays
+ Time to Recover : Paid sick time?
+ Family Well-Being : Parental/new child leave, childcare & elder care assistance, adoption assistance?
+ Extra Perks : Comprehensive health coverage, 401(k), tuition assistance, commuter benefits, professional development, employee recognition, charitable donation matching, health coaching and counseling?
Epsilon benefits are subject to eligibility requirements and other terms.?
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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