Head of Machine Learning
R
RaydarMachine learning software
Remote (US)Full-TimeManager
SalaryBase salary: USD 230,000 to 260,000 per year
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Job Details
- Experience
- Several years of people management leading data science or ML teams
- Required Skills
- PythonMachine LearningPeople ManagementData science
Requirements
- Have hands-on experience across the machine learning lifecycle, including feature work, training, deployment, and monitoring.
- Have several years of people management experience leading data science or machine learning teams that built products central to the business.
- Bring strong Python software engineering skills.
- Demonstrate success applying data science to difficult, visible business challenges, including growing a portfolio of models.
- Have experience working in a fast-growing, early-stage company.
- Hold a degree in a quantitative or technical field such as mathematics, statistics, computer science, physics, or engineering.
- Be comfortable reporting progress and results to senior stakeholders.
- Have a stable work history with longer tenures at prior employers.
- Background in fraud, risk, or financial services is a bonus.
- A clear record of career growth is a bonus.
Responsibilities
- Manage a small data science team and grow it as the work expands.
- Coach team members technically, review their work closely, and provide clear guidance.
- Run planning, staffing, and status updates with executives and cross-functional partners.
- Build commercial awareness and guide the team toward effective solutions under demanding deadlines.
- Own models across data sourcing, feature design, labeling, training, experimentation, deployment, and monitoring.
- Investigate emerging fraud patterns and shape new product offerings based on findings.
- Improve model performance through iteration, new data sources, and 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.
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