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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 Advanced Technology Collaborative Team, as a Principal Software Engineer - AI/ML, which works on solving complex data analytics and AI/ML problems, including clinical event prediction, document review automation, user communication experience analysis and automation, recommendations, search problems, and others. We are an innovation-driven team that leverages Machine Learning (ML) to optimize and re-risk healthcare and digital experiences. On 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-the-art machine learning and strive for high-accuracy and low latency solutions. #DICE 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 optimize healthcare and digital experiences
- Propose innovative ways to look at problems using data mining, statistical analysis, and machine learning
- Seek out new data sources and verify integrity of data to fill gaps and improve models
- Collaborate effectively with internal clients, transforming their needs into analytics, predictive modeling, and business intelligence use cases
- Communicate findings, verbally and visually, to business partners and clients
- Provide tracking and monitoring of model performance and recommend ongoing improvements to methods and algorithms
- Lead and mentor junior data scientists and engineers
- MS degree (or BS degree with equivalent experience) in computer science, applied mathematics, (bio) statistics, applied statistics, economics, or similar quantitative fields of study
- 3+ years of experience in analytics and ML modeling using traditional and deep learning techniques in industry and/or academia
- 3+ years of experience with statistics and ML fundamentals
- 3+ years of experience with python and state-of-the-art traditional and deep learning ML frameworks (e.g., scikit-learn, pytorch, tensorflow, pyspark)
- 3+ years of experience with the full ML system development, deployment, and maintenance lifecycle
- Ph.D. degree in computer science, applied mathematics, (bio) statistics, applied statistics, economics, or similar quantitative fields of study
- Experience in developing and deploying algorithms and ML models for forecasting (e.g., credit risk, demand and supply prediction), search engines (e.g., name entity recognition, intent classification, question answering, spelling correction, autocompletion), automatic speech recognition, machine translation, cold-start recommendations, semi-supervised learning (e.g., positive unlabeled learning)
- Solid analytical and problem-solving skills
- Ability to translate business needs and requirements into technical solutions
- Full COVID-19 vaccination is an essential job function of this role. Candidates located in states that mandate COVID-19 booster doses must also comply with those state requirements. UnitedHealth Group will adhere to all federal, state and local regulations as well as all client requirements and will obtain necessary proof of vaccination, and boosters when applicable, prior to employment to ensure compliance. Candidates must be able to perform all essential job functions with or without reasonable accommodation
- ID: #43477542
- State: Minnesota Edenprairie 55344 Edenprairie USA
- City: Edenprairie
- Salary: USD TBD TBD
- Job type: Permanent
- Showed: 2022-06-22
- Deadline: 2022-08-20
- Category: Et cetera