RVO Health is looking to improve its recommendation systems to enable data-driven, digital experiences for its brands and partners.
Requirements
- Expert knowledge of machine learning and statistical modeling
- Experience in at least one of the following areas: recommender systems, NLP, deep learning, or graph theory applications
- Proficiency in collecting and mining data from disparate data sources
Responsibilities
- Design, build, and deploy robust recommendation models using machine learning and predictive analytics
- Continuously improve existing models by incorporating new data, refining algorithms, or utilizing innovative data science techniques
- Communicate complex data science concepts and model outcomes to non-technical stakeholders
- Collaborate with other data scientists, data engineers, and cross-functional teams in an agile environment
- Collect and mine data from disparate data sources
- Translate business opportunities into data science problems and define the right project scope and performance metric to measure success
Other
- 4+ years of experience as a Data Scientist
- Capability of communicating effectively with business and data science leaders
- Analytical and detail-oriented with the ability to prioritize, execute, and deliver projects on time
- Committed team player who is proactive, takes ownership over the success of their projects, and works hard to support those around them
- Comfortable working onsite in Charlotte or Minneapolis twice a week
- Must be comfortable with unstructured, fast-moving and constantly evolving high-growth environment
