Senior Decision Scientist (Local to NYC)

Senior Decision Scientist-Must be able to be onsite 2-3 days/week in NYC • • • Requirements: • ML, Data Science principals including econometrics, regression, classification, time series. Understanding how that works so we can conceptualize the data frame. • Proficient in Python. Strong in R is also fine. SQL is base – everyone should have large database experience. • MUST have previous experience with recommendation engines/systems. Amazon/Netflix model of recommending similar products. Preferred: • How to deploy models into production is a plus. • Currently on Azure – any Cloud is fine. • PyTorch, NVIDIA-Merlin, including hands-on experience with model architecture design and training at scale Full description below: Position Summary Seeking a Senior Data Scientist with strong background and experience in developing recommendation engines using Machine Learning algorithms. In this role, you will work closely with other data scientists, data engineers, ML engineers and Digital product teams to deliver ML models that deliver near real-time provider recommendations to customers. The ideal candidate: • Develops and/or uses algorithms and statistical predictive models and determines analytical approaches and modeling techniques to optimize patient - provider interaction scenarios and potential future outcomes • Performs analyses of structured and unstructured data to solve multiple and/or complex business problems utilizing advanced statistical techniques and mathematical analyses • Has a broad knowledge of the organization and/or healthcare industry at large • Collaborates with business partners to understand and solve their problems and help achieve their goals • Understands data architecture and API development principles to collaborate with Data Engineering partners in product development • Develops and participates in presentations and consultations to existing and prospective constituents on analytics results and solutions • Interacts with internal and external peers and managers to exchange complex information related to areas of specialization • Uses strong knowledge in algorithms and predictive models to investigate problems, detect patterns and recommend solutions • Uses strong programming skills to explore, examine and interpret large volumes of data in various forms Required Qualifications • 3+ years as a Data Scientist with relevant analytic experience, including designing, building, and deploying deep learning models specifically for recommendation systems • 3+ years' experience programming using Python • 3+ years SQL programming experience • 2+ years' experience with Cloud ( GCP , AWS or Azure ) • 2+ years' experience developing algorithms and statistical predictive models Preferred Qualifications • Previous experience in the Healthcare domain • Proficiency with frameworks, particularly PyTorch and NVIDIA-Merlin, including hands-on experience with model architecture design and training at scale • Familiarity with customer segmentation and addressing cold-start problems, employing strategies like hybrid or collaborative filtering approaches • Demonstrated experience communicating technical concepts and implications to business partners and anticipating and preventing problems and roadblocks before they occur • Strong knowledge of advanced analytics tools and languages to analyze large data sets from multiple data sources • Demonstrated proficiency in most areas of mathematical analysis methods including: machine learning, recommendation engines, statistical analysis, and predictive modeling and in-depth specialization in some areas Education • Bachelor's degree in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline required • Master’s degree or PhD preferred