Staff Data Scientist

AT A GLANCE

We are looking to hire a staff machine learning engineer to join our RVO Health data science team. We are building an industry leading healthcare platform that will integrate the consumer health journey and help consumers access the right information, care, products, and services at the right time, bringing differentiated value to the lives of millions of people. We are a new joint venture formed via a partnership between Red Ventures, one of the world’s premier digital and consumer analytics companies, and UnitedHealth Group, one of the largest healthcare providers in the world. We're developing applications that will impact how we produce media, personalize our site experience, scale our teammates' reach, and provide our services to every consumer. We're a growing team made up of a mix of data scientists, machine learning engineers, analytics engineers, data engineers, and product managers. We welcome candidates from different backgrounds and believe that diverse, inclusive teams are better teams.

Where You'll Be

To prioritize togetherness, culture, and accountability, RVO Health operates on a hybrid in-office work schedule. We expect employees to work from our Minneapolis office Tuesday, Wednesday and Thursday each week. You are welcome to work remotely Mondays and Fridays if you wish.

11000 Optum Cir Eden Prairie, MN 55344

What You’ll Do

• Create and refine ML/AI algorithms, to support the development of digital health solutions
• Create innovative data science solutions to create value for consumers and business by advancing technology ideas into proofs of concept.
• Initiate and lead the execution of data science research and product development often with cross-functional, multidisciplinary teams. Collaborate with stakeholders to drive decisions.
• Collaborate with Technical Product Managers and Software Engineers to integrate AI and machine learning models into our products
• Act as an effective technical liaison to the business leaders. Work effectively across business, creative, and engineering groups to build a positive culture.
• Mentor and/or manage junior members on the team and internally serve as a subject matter expert. Contribute to the cross-organization technology strategy and roadmap for data science.
• Research the state of the art of machine learning, AI, statistical modeling and optimization technologies, and their applications in digital marketing, digital media and e-commerce.
• Help create and promote an inclusive environment where team members feel comfortable and empowered.

What We’re Looking For

• 6+ yrs of professional experience in a data science role with an MS or PhD in STEM with a focus in ML, statistical modeling, or optimization.
• Proven experience in data science and machine learning, preferred experience on healthcare applications and AI
• Our core problems to solve are: 
• Website personalization - using contextual multi-armed bandits and other reinforcement learning approaches.
• Generative AI Application - leveraging recent advances of large language models and their derivatives to innovate on the current site experiences and create net new user experiences.
• Recommender systems - represent a large user and item space in a way to efficiently retrieve and rank personalized recommendations to our users.

Preferred Qualifications

• Expert knowledge of deep learning applied to a relevant domain like NLP or representation learning, e.g. RNNs, LSTMs, Transformers and associated libraries - tensorflow, keras, or pytorch.
• Experience working with LangChain, vector databases, or other LLM related tools
• Ability to own key deliverables and use problem solving to deliver projects on time and iterate when justified by potential, incremental value. 
• Entrepreneur mindset with strong business acumen and capability of coming up with creative ideas to generate value for consumers and business with a proven track record of advancing research ideas into production.
• Proficiency in Python
• Experience leveraging technical expertise to identify the feasibility of potential machine learning projects, ensuring the team is delivering value on feasible projects.
• Familiarity with healthcare data standards, EHR systems, and medical terminologies (e.g., HL7, ICD-10, SNOMED CT) is a plus

Pursuant to various state Fair Pay Acts, below is a summary of compensation elements for this role at the company. The following benefits are provided by RVO Health, subject to eligibility requirements.

• Starting Salary: $138,700 - $190,000
  *Note actual salary is based on geographic location, qualifications and experience
• Access to a Fr