Lead Machine Learning Software Engineer - Minnetonka, MN or Boston, MA - Full-time / Part-time

UnitedHealth Group is a company that's on the rise. We're expanding in multiple directions, across borders and, most of all, in the way we think. Here, innovation isn't about another gadget, it's about transforming the health care industry. Ready to make a difference? Make yourself at home with us and start doing your life's best work.(sm)

As a Lead Machine Learning Software Engineer with Optum Data Management, you will be responsible for the design and build of software solutions that embody Cognitive Computing and Machine Learning Capabilities and Features.

Primary Responsibilities:


Progressive SOA based solution design

Utilize data from several data sources to support solution features

Develop and deploy solutions independently and as a team member

Direct the work of other development resources

Required Qualifications:

3+ years of experience leading and mentoring technical team members

5+ years of service development (REST, API, Microservices)

5+ years of experience with the fundamentals and practical application of Machine Learning & Al

3+ years of experience with one or more of the following Machine Learning and Cognitive technologies: IBM Watson, SAS, Amazon ML, Google Cloud ML, Azure ML Studio

Proficiency with core Machine Learning  methodologies: Regression, Classification, Clustering, Matrix Factorization, Predictive Analytics, Natural Language processing, Decision trees, Support Vector Machines, Neural Networks/ Deep Learning

3+ years of experience creating prototypes in R, Python, Scala, Java or similar stack

3+ years of experience with data retrieval and manipulation utilizing: SQL, Hive QL, Python, Hadoop, R, Unstructured Data
Preferred Qualifications

Advanced degree in computer science or related field (PhD desired)

Ability to work effectively in a cross-functional team

Demonstrated initiative and strong ownership of deliverables

Healthcare experience

Strong software design and architecture skills with an eye toward avoiding and reducing technical debt

Experience with service oriented architecture

To learn more about Technology careers with UnitedHealth Group, please click here.

Careers with Optum. Here's the idea. We built an entire organization around one giant objective; make health care work better for everyone. So when it comes to how we use the world's large accumulation of health-related information, or guide health and lifestyle choices or manage pharmacy benefits for millions, our first goal is to leap beyond the status quo and uncover new ways to serve. Optum, part of the UnitedHealth Group family of businesses, brings together some of the greatest minds and most advanced ideas on where health care has to go in order to reach its fullest potential. For you, that means working on high performance teams against sophisticated challenges that matter. Optum, incredible ideas in one incredible company and a singular opportunity to do your life's best work.(sm)

Diversity creates a healthier atmosphere: UnitedHealth Group is an Equal Employment Opportunity/Affirmative Action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law.UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.
 
 

Job Keywords: Machine Learning, ML, Artificial Intelligence, AI, REST, API, Microservices, cognitive technologies, IBM Watson, SAS, Amazon ML, Google Cloud ML, Azure ML Studio, Software Engineer, Regression, Classification, Clustering, Matrix Factorization, Predictive Analytics, Natural Language processing, Decision trees, Support Vector Machines, Neural Networks/ Deep Learning, prototype, R, Python, Scala, Java, Hive, Hive QL, Hadoop, unstructured data, Minnetonka, Minnesota, MN, Boston, MA, Massachusetts,