Job Description

This position in the Data Science team under the Digital Experience organization. We drive the first mile of the customer experience through personalization of offers and content. We are currently on the lookout for a smart, highly d

This position in the Data Science team under the Digital Experience organization. We drive the first mile of the customer experience through personalization of offers and content. We are currently on the lookout for a smart, highly driven data scientist. You will be part of a team that is focused on driving results by utilizing the latest Machine / Deep Learning approaches especially developing advanced recommendation engines. The incumbent will be responsible for planning and driving ML delivery projects individually. The incumbent is also expected to partner with various stakeholders, bring scientific rigor to develop and deliver high quality models and business results to our clients. She / He also must have excellent verbal and written communication skills and be comfortable working in an entrepreneurial, 'startup' environment within a larger company We use everything a data scientist loves like: GIT, Python, Java, AWS, deep and shallow learning, supervised / unsupervised / semi-supervised approaches. We have access to both unstructured and proprietary data that covers close to 100% of the U.S consumer base. Brief Description of Role : Develop a Data Science product that will deliver high quality personalized recommendations across different channels to our customers Integration of various Deep Learning and Reinforcement Learning Models on an ongoing basis into the product Developing high-performance algorithms for precision targeting, testing, and implementing these algorithms Working with Engineering team to ensure scalability of the solution Collaborate with other members of the team to ensure high quality deliverables Prioritizing, planning and delivering a high-quality product to create business impact while setting a high bar for scientific rigor Interacting with other teams to define interfaces and understanding and resolving dependencies. Learning and implementing the latest approaches in Data Science Qualifications MS in Computer Science or related field with 8-10years of relevant experience Deep knowledge of Machine Learning / Deep Learning approaches and the underlying algorithms / Math Should have experience in working closely with the Engineering teams to deliver and deploy algorithms in a production environment Tech Stack: Python, PySpark, Big Data tech, Docker, Kubernetes Experience with AWS technologies a plus. Good written and spoken communication skills, team player. Strong analytic thought process and ability to interpret findings Ability to work on multiple assignments concurrently In addition, the candidate should have strong business acumen, and interpersonal and communication skills, yet also be able to work independently. Should be able to communicate findings and the way techniques work in a manner that all stakeholders, both technical and non-technical, will understand