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Job Title - Senior Data ScientistJob Location - Pune, MaharashtraWhat You’ll Do:As a Sr. Data Scientist, you will work closely across Data Science teams located in New York, India, and Bosnia. The role will focus on building predictive models, implementing data-driven solutions to maximize ad effectiveness. You will also lead efforts in generating analyses and insights related to the measurement of campaign outcomes, Rx, patient journey, and supporting the evolution of the product suite.Activities in this position include developing and deploying models in production, reading campaign results, analyzing medical claims, clinical, demographic and clickstream data, performing analysis and creating actionable insights, summarizing, and presenting results and recommended actions to internal stakeholders and external clients, as needed.Explore ways to create better predictive models.Analyze medical claims, clinical, demographic and clickstream data to produce and present actionable insights.Explore ways of using inference, statistical, and machine learning techniques to improve the performance of existing algorithms and decision heuristics.Design and deploy new iterations of production-level code.Contribute posts to our upcoming technical blog.Who You Are:Bachelor’s degree in a STEM field, such as Statistics, Mathematics, Engineering, Biostatistics, Econometrics, Economics, Finance, or Data Science.5+ years of working experience as a Data Scientist or Researcher in digital marketing, consumer advertisement, telecom, or other areas requiring customer-level predictive analytics.Advanced proficiency in performing statistical analysis in Python, including relevant libraries, is required.Experience working with data processing, transformation and building model pipelines using tools such as Spark, Airflow, and Docker.You have an understanding of the ad-tech ecosystem, digital marketing and advertising data and campaigns or familiarity with the US healthcare patient and provider systems (e.g. medical claims, medications).You have varied and hands-on predictive machine learning experience (deep learning, boosting algorithms, inference...)You are interested in translating complex quantitative results into meaningful findings and interpretable deliverables, and communicating with less technical audiences orally and in writing.You can write production level code, work with Git repositories.Active Kaggle participant.Working experience with SQL.Familiar with medical and healthcare data (medical claims, Rx, preferred).Conversant with cloud technologies such as AWS or Google Cloud.