Head of Machine Learning
At Raydar · United States
Salary: US$230,000–260,000 a year
- Data and ML
- Full-time
- Director or above
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“United States”
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“Remote (US)”
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- Posted
- 12 October 2026
- First seen by us
- 13 October 2026
- Last checked
- 48 minutes ago
Job description
From Raydar’s job post, as they wrote it.
About the company
Our client is a fast-growing software company.
The role
Raydar is recruiting for this role on behalf of our client. Lead and expand a group of hands-on data scientists who develop and operate production machine learning models. Serve as a technical coach and as a partner to executives, product and engineering, setting priorities and delivering on tight schedules.
What you'll do
- Manage a small data science team and grow it over time as the work expands.
Read the full description
- Coach team members technically, reviewing details closely and giving clear guidance.
- Run planning, staffing and status updates with executives and cross-functional partners.
- Build commercial awareness and steer the team toward effective solutions under demanding deadlines.
- Own models across the whole lifecycle: data sourcing, feature design, labeling, training, experimentation, deployment and monitoring.
- Investigate emerging fraud patterns and shape new product offerings from what you learn.
- Improve model performance through iteration, new data sources and inventive feature work.
- Write dependable production code that supports real-time decisions for external partners.
- Produce and present analyses that guide data strategy, product direction, operational priorities, marketing and sales.
Requirements
What we're looking for
- Hands-on experience across the machine learning lifecycle, including feature work, training, deployment and monitoring.
- Several years of people management leading data science or ML teams that built products central to the business.
- Strong Python software engineering skills.
- Demonstrated success applying data science to difficult, visible business challenges, including growing a portfolio of models rather than a single one.
- Experience working in a fast-growing, early-stage company.
- A degree in a quantitative or technical field such as mathematics, statistics, computer science, physics or engineering.
- Comfort reporting progress and results to senior stakeholders.
- A stable work history with longer tenures at prior employers.
Bonus points
- Background in fraud, risk or financial services.
- A clear record of career growth.
Benefits
Compensation and benefits
- Base salary: USD 230,000 to 260,000 per year
- Equity
- Health insurance for you and your dependents
- Retirement plan with employer match
- Flexible paid time off
Location and work model
- Remote (US)
- Full-time
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