Director, Data Science

Company: Epsilon
Location: Irving
Posted on: September 4, 2021

Job Description:

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

Epsilon Machine Learning Engineering group is looking for a Director of Data Science to lead our machine learning productization efforts.   The Machine Learning Engineering team is responsible for integrating machine learning capabilities into our Epsilon PeopleCloud suite of marketing SaaS, focusing on Epsilon People Cloud Loyalty, Messaging and Customer product solutions.  You will be part of the Machine Learning Engineering leadership team which manages a group comprised of data scientist and software developers that are researching and building automated, repeatable segmentation, predictive modeling and recommendation solutions that directly impact the marketing performance of our clients leveraging the Epsilon PeopleCloud product suite.

You have a strong machine learning and deep learning background and are passionate about transforming data into productionized ml models. You welcome the challenge of data science and are proficient in Python, Spark MLLib, Tensorflow, Keras, ML algorithms, Deep Neural Networks, big data, and cloud computing. You must be self-driven, take initiative and want to work in a collaborative, dynamic, busy, and innovative group.  You leverage your strong communication skills to represent our ML capabilities within the broader organization and provide mentorship for the team’s data scientists.  You are adept at taking complex concepts and simplify them so others can more easily understand the ML solutions we provided.

RESPONSIBILITIES

• Leverage your experience in Machine Learning to help set the strategic direction for designing automated ML capabilities in the cloud
• Design, implement, and validate productized analytic pipelines at scale using a variety of tools (AWS Sagemaker, Databricks, EMR, Spark, Python, Mllib, Git, etc.)
• Liaison with other internal groups with Epsilon to facilitate the development and adoption of our ML solutions
• Identify new analytic capabilities and compare/contrast with existing methods
• Develop an understanding of Epsilon’s current analytic capabilities, proprietary datasets, and product capabilities
• Mentor data scientists by providing feedback on algorithmic approaches and nurturing their career development
• Participate fully in our collaborative culture by sharing knowledge, debating techniques, and conducting research to advance the collective knowledge and skills of the team

QUALIFICATIONS

• Advanced degree (Master’s/PhD) in Computer Science, Statistics, Math, Economics, or other quantitative discipline
• A minimum of 8 years of hands-on experience delivering data science, machine learning, and AI solutions at scale to achieve specific business outcomes
• A minimum of 5 years proven managerial or supervisory experience
• 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
• Knowledge of DNN models using TensorFlow v1.8 above, Keras, Pytorch, sequence modeling using RNNs/LSTMs is a plus
• Prior project work in NLP is a plus
• Coding proficiency in Python is must, any additional programming languages such as Scala, R, SQL, C, C++ is a plus
• Project work using large scale distributed computing systems like Databricks Spark, EMR
• Experience working with cloud infrastructure services like Amazon Web Services and MS Azure
• Familiarity with code repositories and continuous integration (Git/Jenkins)
• Exposure to scrum development methodology and tools (Jira/Confluence)
• Ability to manage multiple data science projects concurrently
• Excellent communication & interpersonal skills with an ability to communicate ideas, insights, and complicated analysis effectively at all organizational levels, include engineering leadership
• Strong passion for understanding key business problems, bringing together data and algorithms to unearth deep insights into customer experiences

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.

REF117474X

#LI-KM1

Keywords: Epsilon, Irving , Director, Data Science, Other , Irving, Texas