Virta is the first clinically-proven treatment to safely and sustainably reverse type 2 diabetes without the risks, costs or side effects of medications or surgery. Our innovations in nutritional biochemistry, data science and digital tools combined with our clinical expertise are shifting the diabetes treatment paradigm from management to reversal. Our mission: reverse type 2 diabetes in 100 million people by 2025.
As a full stack health care company of physicians, engineers, scientists, marketers and more under one roof - Virta collects comprehensive data on our patients’ experience. The Data Science & Engineering team leverages this data and our growing compute resources to build the next generation of health care for chronic diseases. Data scientists at Virta drive science and algorithmic solutions into the fabric of Virta’s products, operations, and decision making. You will be an evidence-based partner to our department leaders and executive team as we scale our operation to reverse type 2 diabetes in millions of people.
2+ years experience applying statistical or machine learning models to real business problems
A strong ability to break down vague business problems into component parts that can be solved algorithmically
Experience with Python’s open source data ecosystem (e.g. numpy, pandas, sklearn, tensorflow, statsmodels, spacy etc.)
Familiarity with SQL
Bonus Points for:
Complex data domains, especially: natural language, health data e.g. insurance claims
Causal Inference: continuous experimentation, methods for observational panels