Experience: 5-12 years Work Type: Onsite Employment Type: Full Time Responsibilities: • 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 8-10 years 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