Head of Machine Learning / Data Science Manager | Applied ML

Reach Velocity - Emerging Technology ?? ??; United States; On-site; USD 180,000 - 240,000; Full time

Job summary

Reach Velocity - Emerging Technology is hiring a Head of Machine Learning / Data Science Manager to lead a growing data team and own end-to-end production ML products for fraud and financial risk at scale. This is a leadership role for someone who remains deeply technical: develop talent, set ML roadmaps, drive data strategy, feature engineering, model deployment and monitoring in production.

Fully remote across the US, with significant equity and high-visibility work with senior leadership;

Qualifications

• 7–15 years in applied ML / Data Science.
• 3+ years of direct people management.
• Proven track record in production ML systems.
• Experience with fintech/fraud/credit risk domain.

Responsibilities

• Lead and grow a Data Science team.
• Own end-to-end development of production ML products.
• Drive data collection, feature engineering, model deployment and monitoring.
• Collaborate with leadership to align ML initiatives with business goals.

Skills

Leadership in ML teams

Python

Production ML

Data science

Fraud domain

Team building

Education

STEM degree

Job description

Head of Machine Learning / Data Science Manager | Applied ML

I’m working with a high-growth US technology company building machine learning products used to solve complex, real-world fraud and financial risk problems at significant scale.

This is a leadership role for someone who is still deeply technical. You’ll manage and grow a team of Data Scientists while owning the development of production ML products end-to-end: data, feature engineering, model development, productionisation, deployment and monitoring.

What we’re looking for:

• 7–15 years in applied ML / Data Science


• 3+ years of direct people management


• Strong Python and production engineering skills


• Experience building and scaling multiple production ML models


• Fintech, fraud, credit risk, underwriting or closely related domain experience


• Experience within a high-growth startup environment


• Strong STEM degree, ideally from a top-tier university


• Strong career stability and progression

This is not an analytics-focused DS role and not a GenAI/LLM position. We’re looking for leaders with substantive experience building classical/applied ML products that directly drive business decisions.

Why consider it?

Fully remote across the US, significant technical ownership, high visibility with senior leadership, strong equity and the opportunity to build and scale both the ML product suite and the team.

Visa transfers/sponsorship can be considered. (Must be based in the US)