Website Optum - UnitedHealth Group

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Optum Payment Integrity Analytics is looking to expand and is seeking a Principal Data Scientist to join our team and help us reach our goals of accurate and effortless payments of claims through advanced analytics and machine learning. You should be an exceptional disciplined and self-motivated Data Scientist with predictive modeling and advanced analytics experience and a passion for working with healthcare data, experience using various computational approaches, and a portfolio of projects you can show and talk about.

Primary Responsibilities:

– Improve and extend the analytic methods in our products
– Mentor junior members of the team
– Work alongside other data scientists, engineers, and project managers to design and implement models and experiments from end to end, including data ingestion and preparation, feature engineering, analysis and modeling, model deployment, performance tracking and documentation
– Conduct hands-on data analysis and predictive analytics on large datasets
– Effectively communicate complex technical results to business partners
– Support and drive analytic efforts around machine learning and innovation
– Work with a great deal of autonomy to find solutions to complex problems

Required Qualifications:

– BA/BS; MS or PhD in Applied Mathematics, Physics, Computer Science, Statistics or related technical field

– 5+ years of hands-on experience in developing analytics with machine learning, deep learning, NLP, and/or other related modeling techniques 

– Strong proficiency in advanced data science tools such as R, Python, SQL, Spark and H2O

– Demonstrable experience developing and deploying analytic solutions using AWS/Azure/GCP

– Familiarity with wrangling large datasets with big data tools such as Hadoop, Hive and Spark

– Experience applying computational algorithms and statistical methods to structured and unstructured data

– Experience combining analytic methods with advanced data visualizations using, for example, Tableau, Shiny or D3

– Experience breaking down and clearly defining problems

– Experience communicating highly technical results to a diverse audience


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