Data Scientist

Vi is the market-leading Enterprise-AI platform for health, serving the world’s largest health organizations - from Fortune 500 healthcare providers to pharma and consumer brands - helping them turn their data into patient and operational ROI. Vi’s platform is backed by $150M+ in R&D, serving over 188 million members daily and growing profitably.

We are seeking a Data Scientist to join our Data team and help us leverage and develop innovative machine learning, NLP, and AI technologies for solving problems within a wide scope.

As the Data Scientist, you will be making key determinations regarding our various products and their development. You will play a key role in building our solution, driving quality, and addressing scale. You will also work closely with our B2B clients, product and project managers.

Responsibilities

• Own the Data Science deliverables across our various products
• Conduct exploratory research on structured and unstructured data
• Be involved in team architectural discussions
• Research, build and deploy ML models in different domains
• Create technical specifications and project documentation
• Lead data mining and collection procedures
• Ensure data quality and integrity
• Collaborate with sales and product teams and derive explainable business insights
• Collaborate with data and software engineers to enable deployment that will scale across the company’s ecosystem

Qualifications

• MSc degree in Computer Science or a related technical field or equivalent practical experience
• Strong business understanding and high execution mentality
• 3+ years of proven experience in delivering production level ML solutions
• Experience with time series modeling, supervised and unsupervised learning
• Experience with Causal Inference
• Deep understanding of ML theory and the math behind the models
• Building interpretable and explainable solutions (not just accurate)
• Proficiency in Python, relational and NoSQL databases, Git
• Knowledge of data management and visualization techniques
• Technologically diverse background and ability/willingness to learn new things quickly
• Strong engineering and communication skills
• Advantage: experience with Multi-Arm Bandits
• Advantage: experience with LLMs