Staff Data Scientist
Confirmed live in the last 24 hours
Comprehensive health & wellbeing platform providing information, doctor
Company Overview
RVO Health stands out as a leading health and wellbeing platform in the US, serving nearly 100 million people monthly with medically-backed information and services, including doctor discovery, prescription savings, and virtual coaching programs. Their extensive portfolio, including Healthline Group and Healthgrades, offers a comprehensive suite of resources, from condition-based communities to an ecommerce store for health products, making healthcare more navigable and affordable. Backed by Red Ventures and Optum, RVO Health's commitment to accuracy and accessibility in health support sets a high industry standard.
Energy
Social Impact
Financial Services
Real Estate
Education
Consumer Goods
Company Stage
N/A
Total Funding
N/A
Founded
2022
Headquarters
Charlotte, North Carolina
Growth & Insights
Headcount
6 month growth
↑ 6%1 year growth
↑ 22%2 year growth
↑ 23%Locations
Atlanta, GA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Data Science
Data Structures & Algorithms
Keras
Marketing
Pytorch
Tensorflow
Natural Language Processing (NLP)
Python
CategoriesNew
AI & Machine Learning
Data & Analytics
Requirements
- 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
Responsibilities
- 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
Desired 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