Overview About Business Unit: Powerful predictors of the future - our Analytics team seamlessly blends data science and business intelligence to provide unparalleled foresight for our platform offerings. They turn insights into actionable results for our clients by collaborating with senior team members and staying ahead of market trends, powered by our data assets. By using new-age analytic tools and emerging technologies, the team cultivates a dynamic learning environment for curious minds to thrive. PeopleCloud Customer is a world-class cloud-based Customer Data Platform (CDP) fully enabled with a complete Marketing Automated Operating System (MAOS). The PeopleCloud Customer platform provides out-of-the-box SaaS and PaaS products that are fully integrated, including Customer Identity services, Deterministic and Probabilistic Customer Record stitching services and Marketing Machine Learning algorithms and models trained to deliver personalized activation at scale. The PeopleCloud Customer team is looking for a skilled team player in a Manager, Data Scientist. 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 algortihms and Deep Neural Networks, Big Data. You must be determined, take initiative and want to work in a dynamic, busy and innovative group. You will work with a distributed team (onshore and offshore) and work closely with a broadly skilled team of delivery management, business analysts, visual designers, analytics, developers, and QA. You will work directly with clients to own data science solutions as a member of the COSMOS Cognitive Marketing Intelligence Cloud Platform team, and will operate as part of the product team to extend the Platform functionality when not supporting client projects. Click here to view how Epsilon transforms marketing with 1 View, 1 Vision and 1 Voice. Responsibilities Provide guidance to the team of Data Scientist and manage Machine learning and Deep Learning based projects. Work with the team who analyze complex data structure, manipulate, cleanse data and perform statistical analysis Design and guide machine learning models using Spark ML, Python, HDFS, DataBricks Design and implement Deep neural network models using Tensorflow, Pytorch, Keras and Python Develop machine learning pipelines with big data design principles in MS Azure cloud using Azure Data Factory Own end to end implementations of multiple Marketing machine learning models such as Churn, CLV, Propensity, Affinity models. Qualifications Strong passion for understanding key business problems, bringing together a team to understand data/ instrumentation needs and/or mine through data to unearth deep insights into customer experiences Proven capability to deliver end-to-end analyses by asking the right questions, extracting data, and building predictive models to ensure actionable results. Expertise in predictive analytics/statistical modeling/data mining/machine learning algorithms and techniques (classification, clustering, regression, multivariate testing) Excellent communication & interpersonal skills with an ability to communicate ideas. MS in Computer Science, Math, Physics, or equivalent education/professional experience is required. 10-12 years of total experience with 5+ years of managing and leading data science teams with demonstrable experience Strong experience in at least one programming language (i.e. Python, R, C, C++ is plus) Experience working with code repositories and continuous integration (i.e. Git, Jenkins, etc.) 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 Epsilon is a global data, technology and services company that powers the marketing and advertising ecosystem. For decades, we’ve provided marketers from the world’s leading brands the data, technology and services they need to engage consumers with 1 View, 1 Vision and 1 Voice. 1 View of their universe of potential buyers. 1 Vision for engaging each individual. And 1 Voice to harmonize engagement across paid, owned and earned channels. Epsilon’s comprehensive portfolio of capabilities across our suite of digital media, messaging and loyalty solutions bridge the divide between marketing and advertising technology. We process 400+ billion consumer actions each day using advanced AI 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. Epsilon is a global company with more than 9,000 employees around the world. Our pillars aren't just words. They're how we show up every day. People centricity: We focus on employee well-being in an environment where colleagues truly care about each other. Collaboration: We work together, support one another, and collectively achieve goals. Growth: There are endless opportunities for growth through learning, development and career advancement. Innovation: We drive progress through cutting-edge solutions and forward-thinking approaches. Flexibility: We’ve created a balance between work and personal life, and we encourage adaptability to solve problems creatively. Our values guide us to create value for our clients, our people and consumers. Act with integrity Work together to win together Innovate with purpose Respect all voices Empower with accountability These pillars and values are our foundation—shaping our culture, guiding our decisions, and uniting us in common purpose. Epsilon is an Equal Opportunity Employer. Epsilon is committed to promoting diversity, inclusion, and equal employment opportunities by using reasonable efforts to attract, recruit, engage and retain qualified individuals of all ethnicities and backgrounds, including, but not limited to, women, people of color, LGBTQ individuals, people with disabilities and any other underrepresented groups, traits or characteristics.