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Combine two of the fastest-growing fields on the planet with a culture of performance, collaboration and opportunity and this is what you get. Leading edge technology in an industry that's improving the lives of millions. Here, innovation isn't about another gadget, it's about making health care data available wherever and whenever people need it, safely and reliably. There's no room for error. Join us and start doing
your life's best work.(sm)Join our Personalization Team, as a Senior Principal Data Scientist, which works on solving recommendations, ranking, user condition predictions, and search problems. We are KPIs driven team that leverages Machine Learning (ML) to provide a personalized experience. In this team, you would work with brilliant data scientists and engineers to build end-to-end solutions to meet product needs. We are also very passionate about our engineering excellence and pride ourselves of releasing solid solutions to production. We leverage state of art machine learning and strive for low latency solutions.To know more about Optum Technology, click here. You'll enjoy the flexibility to telecommute from anywhere within the U.S. as you take on some tough challenges.Primary Responsibilities:- Apply advanced statistical and predictive modeling techniques to data related to the optimization of healthcare and digital experiences
- Propose innovative ways to look at problems using data mining, statistical analysis and machine learning
- Communicate findings, verbally and visually, to business partners and clients
- Seek out new data sources and verify integrity of data that fill gaps and improve models
- Support business needs around analytics, predictive modeling and business intelligence
- Collaborate effectively with internal clients, transforming their needs into data science use cases
- Provide on-going tracking and monitoring of performance of statistical models and recommend ongoing improvements to methods and algorithms
- Master's degree in computer science, applied mathematics, (bio) statistics, applied statistics, economics, or similar quantitative fields of study
- Hands-on experience in developing analytics with machine learning, deep learning, NLP, and/or other related modeling techniques
- Skilled in python, tensorflow, pytorch and/or pyspark
- Ability to turn state-of-art research into production level codes
- Ph.D. degree in computer science, applied mathematics, (bio) statistics, applied statistics, economics, or similar quantitative fields of study
- Experience in developing and deploying models related to recommender system, NLP and time series forecasting
- Experience in developing algorithms for financial forecasting (e.g. credit risk, demand and supply prediction), search engines (e.g. name entity recognition, intent classification, spell correction, autocompletion), cold-start recommendation, semi-supervised learning (e.g. positive unlabeled learning)
- Solid analytical and problem-solving skills
- Ability to translate business need and requirements into technical solutions
- ID: #43477435
- State: California Sanfrancisco 94102 Sanfrancisco USA
- City: Sanfrancisco
- Salary: USD TBD TBD
- Job type: Permanent
- Showed: 2022-06-22
- Deadline: 2022-08-20
- Category: Et cetera