# Head of Machine Learning

> Raydar · United States (Remote) · Full-time · Posted 2026-10-12

**Salary:** USD 230,000–260,000

**Workplace:** remote

## Description

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.

\- 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

## Apply

[Apply at Raydar](https://apply.workable.com/raydar/j/4EC6720887/apply)

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