Company Description
Job Description
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.
Responsibilities

• 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.

Qualifications

• 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

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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