Company Description
Epsilon is the leader in outcome-based marketing. We enable marketing that's built on proof, not promises. Through Epsilon PeopleCloud, the marketing platform for personalizing consumer journeys with performance transparency, Epsilon helps marketers anticipate, activate and prove measurable business outcomes. Powered by CORE ID®, the most accurate and stable identity management platform representing 200+ million people, Epsilon's award-winning data and technology is rooted in privacy by design and underpinned by powerful AI. With more than 50 years of experience in personalization and performance working with the world's top brands, agencies and publishers, Epsilon is a trusted partner leading CRM, digital media, loyalty and email programs. Positioned at the core of Publicis Groupe, Epsilon is a global company with over 8,000 employees in over 40 offices around the world. For more information, visit epsilon.com. Follow us on Twitter at @EpsilonMktg.
Job Description
Love cutting-edge tech? We do too.
At Epsilon, we do more than collect and store data. We help some of the world's biggest brands connect with their customers by offering digital experiences people actually like.
We're looking for an experienced Senior Data Scientist to help us build dynamic and data-driven machine learning solutions in a big data environment. In this role, you will help our product managers and software engineers unlock the power of machine learning and predictive modeling to do some truly amazing things for our clients.
Better yet, we're growing fast, which means you can too. From learning new technologies to collaborating with some of the brightest-and kindest-people in the world, there's a lot to love about a career with us. Join a team where you're empowered to do epic things and unleash your full potential.
What you'll do:

• Develop an understanding of Epsilon's current analytic capabilities and proprietary datasets.
• Use your machine learning expertise to research and recommend the best analytic approaches to solving the most difficult marketing problems facing our clients.
• Identify new analytic capabilities and compare/contrast with existing methods.
• Design, implement, and validate productized analytic pipelines at scale using a variety of tools (AWS Sagemaker, Databricks, EMR, Spark, Python, Mllib, Git, etc.).
• Participate fully in our collaborative culture by sharing knowledge, debating techniques, and conducting research to advance the collective knowledge and skills of the team.

About you:

• You embrace challenges and take the initiative to solve them quickly
• You do your best work in a dynamic and busy team setting
• You strive for technical excellence in yourself and encourage it in others

• You are interested in learning and growing your skillset

What you'll bring:

• Master's degree in Computer Science, Mathematics, Physics or related field.
• 3+ years of experience delivering data science, machine learning and AI solutions at scale.

• Experience implementing a range of machine learning methods from basic descriptive statistics, hypothesis testing and feature transformation to complex dimension reduction, supervised or unsupervised learning, and model tuning and validation.
• Coding proficiency in Python is required and additional programming languages such as R, SQL, C, C++ is a plus.
• Project work using large scale distributed computing systems like Databricks, Spark, or EMR.
• Experience working with cloud infrastructure services like Amazon Web Services and MS Azure.
• Familiarity with code repositories and continuous integration (Git/Jenkins).

• Knowledge of DNN models using TensorFlow, Keras or Pytorch.
• Prior project work in NLP is a plus
• Ability to manage multiple data science projects concurrently.

Qualifications
Additional Information
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.
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