Senior ML Engineer
Posted on 2/9/2024
Datavant

201-500 employees

Healthcare data platform
Company Overview
Datavant's mission is to connect the world’s health data to improve patient outcomes.
Financial Services
Data & Analytics
B2B

Company Stage

Series B

Total Funding

$80.5M

Founded

2017

Headquarters

San Francisco, California

Growth & Insights
Headcount

6 month growth

15%

1 year growth

46%

2 year growth

256%
Locations
Remote in USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Python
Data Science
CategoriesNew
AI & Machine Learning
Data & Analytics
Requirements
  • PhD or Masters in related field
  • At least 5 years of industry experience working as a data scientist or engineer, using Python, and contributing to production code
  • Fluency working with machine learning models, databases, and statistics
  • Driven, startup-ready, comfortable working in a fast-paced environment
  • Strong communicator able to manage multiple projects at once
  • Outstanding track record in previous roles
Responsibilities
  • Lead end-to-end algorithm development of productized models: model specs, training data generation, testing, parameter tuning
  • Collaborate with engineering to incorporate models into production infrastructure and build production tools to monitor model performance
  • Have written and spoken exposition of the ideas underlying model development to a range of audiences-- technical and non-technical, internal and external
  • Identify areas where data science can help grow the company, including product improvements, internal tools, and commercial operations
Desired Qualifications
  • Experience managing production level engineering architecture-- databases, pipelines, deployment, dependency managers