Senior Data Scientist (Only W2)

Key Responsibilities: • Research, prototype, and develop AI/ML solutions to build personalized systems. • Build, deploy and analyze AI/ML solutions and perform statistical experiments when deploying new AI products. • Analyze and segment customer data and clearly visualize customer behavior to make product decisions. • Stay up to date with emerging technology and learn new technologies/libraries/frameworks • Learn and partner with peers across multiple disciplines, such as data, product, and systems design • Deliver on time with a high bar on quality of research, innovation and engineering Basic Qualifications: • 4+ years of experience with statistical data science techniques, feature engineering, customer segmentation etc. • 4+ years of experience with SQL, PySpark and Python. • 4+ years of experience training, evaluating and deploying Machine Learning models. • 4+ years of experience with productionizing and deploying ML workloads in AWS/Azure. • 1+ years leading and mentoring Data Scientists and delegating tasks to deliver complex tasks. • Familiarity with containerized application tooling and deployments (Docker/Kubernetes) • Bachelor’s Degree or higher in Computer Science/Engineering/Math, or relevant experience Extra Credit: • Experience with Databricks platform. • Experience building ML models with large amounts of structured and unstructured data.