Senior Product Data Scientist

About This Role

As a Senior Product Data Scientist , you will sit at the intersection of product strategy, experimentation, and data science. Your mission is to drive measurable improvements in user growth, engagement, retention, and revenue through rigorous analysis, experimentation, and data‑informed product decisions.

You will partner closely with Product Managers, Engineers, Designers, and Business leaders to understand user behavior across the full lifecycle, design and evaluate experiments, and translate insights into product changes that materially move core metrics such as conversion, ARPU, retention, and stickiness.

This is a hands‑on role for a data scientist who has repeatedly used A/B testing and product analytics to drive real business outcomes, not just analysis or reporting.

• Own and drive end‑to‑end ML projects that directly impact product growth, engagement, and monetization, from problem framing to deployment and measurement
• Build and maintain ML models such as user segmentation, churn prediction, and recommendation systems to surface actionable opportunities for the product
• Partner with Product Managers to translate business questions into well‑defined analytical or modeling problems with clear success metrics
• Conduct deep‑dive analysis on user behavior, funnels, cohorts, and journeys to identify growth opportunities and inform product strategy
• Design, execute, and analyze A/B and multivariate experiments with a strong focus on revenue, retention, and engagement impact
• Develop and maintain key product KPIs, dashboards, and monitoring metrics to track model performance and product outcomes
• Ensure accurate event tracking and data instrumentation for new and existing product features
• Translate complex analytical and modeling findings into clear, actionable recommendations for both technical and non‑technical stakeholders
• Act as a thought partner and data leader within product teams, fostering a strong data‑driven and experimentation culture

• 4+ years of experience in Data Science, Product Analytics, or a closely related role in a consumer‑facing tech company
• Hands‑on experience building and deploying ML models in production
• Strong understanding of experimental design, statistics, and causal inference, including common pitfalls in real‑world experimentation
• Deep experience analyzing user funnels, cohorts, lifecycle metrics, and customer journeys
• Fluency in SQL and high proficiency in Python or R
• Strong business acumen with the ability to connect model outputs and data insights to product strategy and commercial outcomes
• Excellent communication skills, with the ability to influence product decisions through data
• Experience working in a fast‑paced, high‑growth startup environment
• Ability to manage multiple projects simultaneously while maintaining analytical rigor
• Prior experience in fintech, crypto, or marketplace products is a plus, but not required

The starting pay range for this role is between AED
42,000 - AED
48,000 per year for all U.A.E. remote locations. The actual base pay will vary, and is dependent upon many factors, such as transferable skill sets, work experience, business needs, and market demands. The base pay range is subject to change.

• Unlimited PTO (for salaried FTE roles); 12 weeks fully paid Parental Bonding Leave
• Mental wellness benefits; free 1:1 virtual visits with a licensed mental wellness professional; comprehensive competitive health benefits
• Fully remote; cameras‑on culture with work‑from‑home equipment reimbursements available to new hires
• Annual professional development budget; free 1:1 virtual visits with a career coach; 401k plan with employer match

BAM Management US Holdings Inc. and BAM Management Canada Holdings Inc. are Equal Opportunity Employers and comply with all applicable federal, state, and local fair employment practice laws. Our mission is to give our customers access to a broad array of digital assets, and we thrive because of the diverse and inclusive team that we are building. We do not discriminate against qualified employees, applicants, or any other covered persons because of race, color, religion, creed, gender identity, sex, sexual preference, sexual identity, pregnancy, national origin, ancestry, citizenship, age, veteran status, physical disability, mental disability, medical condition, military status, or any other applicable legally protected characteristic.