Director of Data Science (Remote)

    Updated 9 days ago
    Bethesda, MD 20817
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    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 Follow us on Twitter at @EpsilonMktg.

    Job Description

    Job Summary

    Epsilon Strategy and Insights, Data Sciences team is looking for experienced Director of Data Science. You are an expert, mentor and advocate. You have strong machine learning and deep learning background and are passionate about transforming data into ML models. You welcome the challenge of data science and are proficient in Python, Spark MLLib, Tensorflow, Keras, ML algorithms and Deep Neural Networks, Big Data. You must be self-driven, take initiative and want to work in a dynamic, busy and innovative group.

    You will lead and work with a distributed team (onshore and offshore) and work closely with a broadly talented team of delivery management, data/business analysts, visual designers, analytics, developers, and QA.  You will work directly with clients to own data science solutions as a member of Marketing Machine Learning (MML) team and will operate as part of the services team to extend the model functionality and customizations.


    • Provide guidance to the team of Senior Data Scientists and manage Machine learning and Deep Learning based team and projects. Work with the team who analyze complex data structure, manipulate, cleanse data and perform statistical analysis
    • Design, develop, train and validate machine learning models using Spark ML, Python, HDFS.
    • Design and implement Deep neural network models using Tensorflow, Keras and Python
    • Develop machine learning pipelines with big data design principles in Airflow or Azure Data Factory
    • Own end to end implementations of multiple Marketing machine learning models such as Churn, CLV, Propensity, Affinity models.



    •  Experience with large scale distributed databases and computing systems like Databricks Spark, EMR.
    • Proven capability to deliver end-to-end analyses by asking the right questions, extracting data, and building predictive models to ensure actionable results.
    • 10-15 years of total IT experience with 6+ years of managing and leading data science teams with demonstrable experience in algorithms like Logistic Regression, Gradient Boosted Machines
    • 5-8 years of expert experience in leading machine learning teams with Spark and Big Data environment.
    • Expertise in predictive analytics/data mining/machine learning algorithms.
    • Strong experience in DNN models using TensorFlow v1.8 above, Keras, Pytorch
    • Experience with sequence modeling using RNNs/LSTMs is must.
    • Strong experience in at least one database technology (i.e. Spark, Hive, PrestoDb)
    • Hands on coding experience in Python is must, any additional programming language such as R, C, C++ is a plus
    • Experience working with query languages (i.e. Spark-SQL, T-SQL) is must.
    • Understanding and experience working with cloud infrastructure services like Azure and Amazon Web Services. MS Azure and ADF is preferred.
    • Excellent communication & interpersonal skills with an ability to communicate ideas.
    • MS in Computer Science, Math, Physics, or equivalent education/professional experience is required. Ph.D is a plus.
    • Experience working with code repositories and continuous integration (Git/Jenkins)
    • Strong passion for understanding key business problems, bringing together the team to understand data/ instrumentation needs and/or mine through data to unearth deep insights into customer experiences
    • Excellent communication & interpersonal skills with an ability to communicate ideas, insights and complicated analysis effectively at all organizational levels, include engineering leadership


    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.

    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.



    Posting ID: 609390324Posted: 2021-05-01Job Title: Datum Science Remote