Head of Data Science & POCs - Remote

Overview

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Head of Data Science & POCs in North America.

This role provides the opportunity to lead and scale a high-impact data science team focused on fraud prevention and real-time risk management. You will own proof-of-concept (POC) and proof-of-value (POV) projects with enterprise customers, helping them understand and quantify the impact of fraud-reduction strategies. This is a hands-on leadership position where technical expertise, strategic thinking, and mentorship converge. You will collaborate closely with Product, Engineering, and Commercial teams to drive measurable outcomes, improve platform performance, and deliver business value from day one. The position is fully remote, offering flexibility while working with a globally distributed team of experts.

Accountabilities

• Lead end-to-end POC and POV initiatives, showcasing real-time fraud-loss reduction and ROI for enterprise customers.
• Build, optimize, and scale decision systems combining machine learning models, features, and rules across large-scale data streams.
• Hire, coach, and mentor a team of data scientists and fraud analysts, fostering a culture of excellence and continuous learning.
• Implement experimentation frameworks (A/B testing, bandit models) to validate new fraud prevention strategies safely.
• Partner with Product, Engineering, and Commercial teams to embed data insights into dashboards, APIs, and pricing strategies.
• Present findings, results, and strategic recommendations to executives, customers, and stakeholders clearly and persuasively.
• Drive innovation in platform signals, features, and feedback loops to enhance system intelligence and speed.

In Short

• Lead a high-impact data science team focused on fraud prevention.
• Own POC and POV projects with enterprise customers.
• Collaborate with Product, Engineering, and Commercial teams.
• Implement A/B testing and other experimentation frameworks.
• Mentor and coach data scientists and fraud analysts.
• Drive measurable outcomes and improve platform performance.
• Present strategic recommendations to stakeholders.

Requirements

• Experience in data science and fraud prevention.
• Strong leadership and mentorship skills.
• Proficiency in machine learning and data analysis.
• Ability to implement experimentation frameworks.
• Excellent communication skills for presenting findings.

Benefits

• Fully remote position with flexible working hours.
• Opportunity to work with a globally distributed team.
• Impactful role in fraud prevention and risk management.