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
Skills Required
- Hands-on experience across the machine learning lifecycle, including feature work, training, deployment, and monitoring.
- Several years of people management leading data science or machine learning teams that built business-critical products.
- Strong Python software engineering skills.
- Demonstrated success applying data science to difficult, high-visibility business challenges and growing a portfolio of models.
- Experience working in a fast-growing, early-stage company.
- Degree in a quantitative or technical field such as mathematics, statistics, computer science, physics, or engineering.
- Ability to report progress and results to senior stakeholders.
- Stable work history with longer tenures at prior employers.
- Background in fraud, risk, or financial services.
- Clear record of career growth.
What We Do
Raydar is a talent acquisition and business consulting firm that connects world-class and emerging talent with growing organizations. It supports companies through team development, strategic hiring, and customized growth solutions, helping clients recruit roles such as engineers, product managers, executives, legal counsel, and quantitative traders. Raydar focuses on understanding each organization’s needs, culture, and long-term goals to build high-impact teams.
