Senior Data Science Manager
virtual vocationsDenver (CO)
Senior Data Science Manager
Posted yesterday
virtual vocationsDenver (CO)
SENIORITY
Lead
About the role
Leading the development of foundational AI capabilities, the remote Senior Data Science Manager will define the AI platform roadmap, manage a high-performing team, and collaborate with engineering and product teams to deliver reliable production services.
Key responsibilities:
Build shared AI capabilities by developing reusable models, services, and tools for multiple teams
Shape the platform roadmap by prioritizing foundational investments based on business value and technical dependencies
Deliver production-ready systems through partnership with engineering on deployment, monitoring, and ongoing operations of AI services
Required qualifications:
7+ years of experience in data science or machine learning
3+ years of direct people management experience in leading data science or machine learning teams
Experience delivering LLM-powered capabilities into production and managing their performance
Strong experience in building and operating AI evaluations, including creating evaluation datasets and defining quality criteria
Bachelor's or master's degree in Computer Science, Statistics, Data Science, Engineering, or a related field is preferred
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.