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.
Requirements
- 7+ years of experience in fraud analytics, data science, or machine learning, with at least 2 years leading technical teams delivering real-time risk solutions.
- Proven track record in reducing fraud losses and false positives for high-volume consumer or B2B products.
- Strong expertise in applied ML, anomaly detection, and experimentation design.
- Advanced SQL skills and familiarity with modern data infrastructure, including Kafka, Flink, feature stores, and vector databases.
- Experience managing and delivering POC/POV workstreams with measurable customer outcomes.
- Exceptional executive presence and storytelling skills, capable of communicating complex data insights to both technical and non-technical audiences.
- Passion for hands-on problem solving and working in high-stakes, fast-paced environments.
- Authorization to work in the United States or Canada.
Benefits
- Competitive base salary: US$220K–$275K / CA$310K–$375K plus Series C equity with significant upside potential.
- Remote-first culture: work from home, the beach, or anywhere you’re productive.
- Flexible paid time off, year-end break, and self-care days.
- Comprehensive health, dental, and vision coverage for employees and dependents.
- Retirement contributions: 401(k) match in the US / RRSP match in Canada.
- MacBook Pro delivered to your door and a one-time home office stipend.
- Monthly meal and social meet-up stipends, annual wellness and learning stipends.
- Access to expert financial advisory services.
- Opportunity to work with a world-class, globally distributed team and make a measurable impact on fraud prevention for enterprise customers.
Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.
When you apply, your profile goes through our AI-powered screening process, designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.
This process is transparent, skills-based, and free of bias, focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.
Thank you for your interest!
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