Head of Machine Learning

2 hours, 47 minutes ago
Full-time
Executive
Data Science and Analytics
Raydar

Raydar

Raydar is a company that provides high-impact and results-driven services in partnership with clients like Metawork. Their team's enthusiasm and dedication set them apart, delivering tangible results and fostering long-term partnerships.

Professional Services

Description

  • Manage and grow a hands-on data science team.
  • Coach team members through detailed technical reviews and guidance.
  • Lead planning, staffing, and status updates with executives and cross-functional partners.
  • Own the machine learning lifecycle from data sourcing and feature design through deployment and monitoring.
  • Investigate emerging fraud patterns and inform new product offerings.
  • Improve model performance through iteration, additional data sources, and feature development.
  • Write reliable production code supporting real-time decisions for external partners.
  • Present analyses that guide data strategy, product direction, operations, marketing, and sales.

Requirements

  • Hands-on experience across the machine learning lifecycle, including feature development, training, deployment, and monitoring.
  • Several years of people management experience leading data science or ML teams.
  • Strong Python software engineering skills.
  • Track record applying data science to complex, high-visibility business challenges and managing portfolios of models.
  • Experience working in a fast-growing, early-stage company.
  • Degree in mathematics, statistics, computer science, physics, engineering, or another quantitative or technical field.
  • Ability to report progress and results to senior stakeholders.
  • Stable work history with longer tenures at previous employers.
  • Background in fraud, risk, or financial services preferred.
  • Demonstrated career growth preferred.

Benefits

  • Base salary of $230,000–$260,000 per year.
  • Equity.
  • Health insurance for employees and dependents.
  • Retirement plan with employer match.
  • Flexible paid time off.
  • Remote work within the US.
  • Full-time employment.

Interested in this position?

Apply directly on the company website

Apply Now

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