Job Description:

At Remitly, we believe everyone deserves the freedom to access, move, and manage their money wherever life takes them. Since 2011, we've tirelessly delivered on our promise to customers sending money globally, providing secure, simple, and reliable ways to manage their money, ensuring true peace of mind. Whether it's supporting loved ones back home, growing a business across continents, or pursuing new opportunities abroad, we're not just here to move money— we're here to move our global customers forward. We're looking for builders, reimaginers, and global thinkers who want to work at the intersection of technology, trust, and transformation. If that's you and you're ready to do the most meaningful work of your career—we invite you to join over 2,800 passionate Remitlians worldwide who are united by our vision to transform lives with trusted financial services that transcend borders.

About the Role:

At Remitly, we are on a mission to transform lives by providing trusted financial services that transcend borders. We serve millions of customers sending billions of dollars each year across 170+ countries, and our work impacts communities on a truly global scale.

As a Senior Data Scientist at Remitly, you will work at the center of data-driven decision-making across product and business domains. Data Scientists work hand-in-hand with Machine Learning Engineers and partner closely with Product, Analytics, and Engineering to shape AI/ML products through rigorous analytics, experimentation, and modeling. We work horizontally across domains at Remitly, including Global Money Movement, Treasury, Identity & Trust, Promotions, Referrals, and more.

We are looking for an experienced Data Scientist who can independently own complex analytical and modeling problems, apply strong causal reasoning, and translate ambiguous business questions into clear, high-impact insights and recommendations.

You Will:

• Own the end-to-end lifecycle of data science work, from problem formulation and exploratory data analysis to modeling, evaluation, and communication of results.
• Partner with Machine Learning Engineers to support production models through offline analysis, feature & label recommendations, evaluation strategy, and monitoring insights.
• Estimate opportunity size for AI initiatives to help prioritize work based on expected business impact.
• Apply causal inference techniques, including quasi-experimental methods, to evaluate real world impact when randomized experiments are not feasible.
• Ensure and uplevel quality standards for experiment design, diagnosis, and analysis.
• Translate complex analytical and modeling outcomes into clear narratives that influence product and business decisions.
• Develop and maintain robust analytical and modeling workflows that enable reproducible experimentation and reliable evaluation of impact.
• Mentor junior Data Scientists, contribute to design and analysis reviews, and uphold a high bar for analytical quality and scientific rigor.

You Have:

• Degree in Data Science, Statistics, Mathematics, Economics, Computer Science, or equivalent practical experience.
• 4+ years of industry experience in data science, applied statistics, or a related field.
• Strong proficiency in SQL and Python, with the ability to write clean, reproducible, and well-tested data science code.
• Expertise in experimentation and statistical analysis, including metric selection, bias diagnosis, and result interpretation.
• Strong analytical intuition and experience working with messy real-world data to uncover meaningful insights.
• Experience partnering cross-functionally with Product, Engineering, and Machine Learning teams to drive impact.
• Ability to communicate clearly with both technical and non technical audiences, explaining tradeoffs, uncertainty, and assumptions.
• Experience with one or more of causal inference, forecasting, or numerical optimization is strongly preferred.

**Compensation Details.**The starting base salary range for this position is typically $176,000-$220,000. In the U.S., Remitly employees are shareholders in our Company and equity is part of our total compensation plan. Your recruiter can share more information about medical benefits offered, as well as other financial benefits and total compensation components offered with this role.

Our Benefits:

• Flexible paid time off
• Health, dental, and vision + 401k plan with company matching
• Paid parental, medical, military and family care leave
• Mental Health & Family Forming Benefits
• Employee Stock Purchase Plan (ESPP)
• Continuing education and travel benefits

Our Connected Work Culture: Driving Innovation, Together

At Remitly, we believe that true innovation sparks when we come together. Our Connected Work Culture fosters dynamic in-person collaboration, where ideas ignite and challenging problems find solutions faster. For corporate team members, we have an in-office expectation of at least 50% of the time monthly, typically achieved by coming in three days a week. This creates a consistent, meaningful overlap that supports team norms and business needs. Managers also have the flexibility to set higher expectations based on their team's specific needs. These intentional in-office moments are vital for deepening relationships, fueling creativity, and ensuring your impact is felt where it matters most.

Remitly is an E-Verify Employer

At Remitly, we are dedicated to ensuring that our workplace offers equal employment opportunities to all employees and candidates, in full compliance with applicable laws and regulations.

Remitly is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.