Job Location: Chicago, IL
Job Detail:
Company Description
Job Description
As a Data Science Engineer in our Decision Sciences Visualization team, you will create innovative visual analytics systems that reveal, explore and explain complex patterns and phenomena from Epsilon’s peta-scale and massively-dimensional digital marketing ecosystem. You will reduce this complexity into sophisticated, interactive visual metaphors and stories that demonstrate the business value of Epsilon’s platform directly to our stakeholders and global customers (which includes some of the world’s largest brands). Our visualization challenges span hundreds of millions of highly detailed individual profiles across hundreds of millions of web sites and apps tied together by sophisticated real-time analytics that make near instantaneous decisions on messaging to those profiles trillions of times a day. This provides an incredibly rich environment of business questions and answers that are hidden within petabytes of data.
In this role, you will be a key member of a multi-disciplinary R&D team creating a full-stack visual analytics system that connects to big data platforms and machine learning systems to present complex enterprise-critical information in an engaging, intuitive and informative manner. This is a multi-faceted team effort involving an array of technologies such as Python, PySpark, Scala, SQL, Hadoop/HDFS, Elastic Search, GPU clusters, D3.js, Reactjs and more. We are looking for strong candidates with extensive experience in clustering, dimensionality reduction and machine learning (particularly unsupervised techniques) on large scale computing clusters, and who are driven by the desire to see those results translated into actionable insights.
Responsibilities
- Develop an understanding of Epsilon’s Digital Media Services (DMS) personalization platform and proprietary datasets
- Work closely with internal and external stakeholders and data providers to support data ingestion, insights, aggregations and trending projects
- Manage data logistics including data transfers, understanding data structures, business rules, and beyond to enable project execution
- Design, implement and validate your solutions in using SQL/HiveQL, Scala, Spark or Python, PySpark on a large state-of-the-art cluster; in some cases, the solutions may be based on GPU-computation or Elastic Search platforms as well
- Work with our Engineering teams to develop and integrate your solutions into Epsilon’s DMS platform
- Participate fully in our collaborative approach to research and applications projects
- Be a supportive and positive contributor in a highly collaborative, multi-disciplinary R&D team with shared and overlapping responsibilities, all in support of a strong mission with purpose and proven results
Qualifications
- Master’s degree or PhD in Computer Science, Data Science, Engineering, Mathematics, Statistics or other related scientific discipline
- 2+ years of relevant industrial experience
- 2+ years of extensive hands-on experience with Spark, Scala or Python on large-data platforms such as Hadoop, HDFS, AWS
- Desire to work in a highly collaborative environment with team members having a broad set of skills including data engineering, full stack systems, data science, data visualization, UI, and UX
Additional, But Not Required Skills
- Experience with data engineering at scale in a production environment
- Experience with real-time computer systems for data query and algorithms such as Elastic Search and GPU clusters
- Experience with machine learning techniques (supervised and unsupervised) as well as feature engineering
- Experience with TensorFlow, CUDA or other systems for GPU-accelerated processing
- Experience with Docker for deploying data applications via containers
- Experience with aspects of full stack development
Qualifications
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:
- Culture: https://www.epsilon.com/us/about-us/our-culture-epsilon
- DE&I: https://www.epsilon.com/us/about-us/diversity-equity-inclusion
- CSR: https://www.epsilon.com/us/about-us/corporate-social-responsibility
- Life at Epsilon: https://www.epsilon.com/us/about-us/epic-blog
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.
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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