Senior Data Scientist

Arlington, VA, United States of America

Category: Analytics & Data Science
Job ID: R_104850
Job Type: Regular

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:

As a Senior Data Scientist for the Core Pricing team, you will serve as a technically-grounded lead who prioritizes hypothesis generation and experimental design. You will focus on the "why" and "what’s next" to drive our regional strategy, moving beyond standard business reporting to build the pricing engines that power our global business. You will be responsible for deep-diving into customer behavior across different segments and geographies to understand the first- and second-order impact of our pricing decisions.

You will report to a Principal Data Scientist and be a key partner for the Head of Pricing. You will be required to be in office 3 days a week based in our Arlington, Virginia office.

You Will:

Build financial and predictive models to improve pricing strategies and increase revenue.
Analyze market trends, competitor pricing, and customer behavior to design pricing experiments.
Collaborate with partners to develop and implement pricing strategies that align with team goals.
Provide data-driven recommendations to senior leadership to inform pricing strategy.
Partner with GM, Product, and Finance teams to transform complex datasets into rigorous data products. Act like a bridge between business leaders and the Machine Learning organization.

You Have:

Experience: 5+ years of professional experience in data science, machine learning engineering, research science, or a related quantitative field.
Scope & Autonomy: Proven ability to lead complex data projects from conception to completion with minimal supervision, identifying high-leverage opportunities for the business.
Technical Mastery: Expertise in Python or R for advanced data analysis and predictive modeling, alongside mastery of SQL for complex data extraction.
Statistical Rigor: Advanced understanding of statistical concepts, including A/B testing, probability theory, and causal inference, applied to real-world business problems.
Strategic Thinking: Ability to look beyond “what happened” to determine “why” and “what's next,” translating complex findings into clear strategic narratives.
Education: Masters's degree in economics, computer science, mathematics, engineering, or another quantitative field (PhD preferred).

Compensation Details. The starting base salary range for this position is typically $168,000-$210,000. 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.

#LI-HYBRID

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.

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:

As a Senior Data Scientist for the Core Pricing team, you will serve as a technically-grounded lead who prioritizes hypothesis generation and experimental design. You will focus on the "why" and "what’s next" to drive our regional strategy, moving beyond standard business reporting to build the pricing engines that power our global business. You will be responsible for deep-diving into customer behavior across different segments and geographies to understand the first- and second-order impact of our pricing decisions.

You will report to a Principal Data Scientist and be a key partner for the Head of Pricing. You will be required to be in office 3 days a week based in our Arlington, Virginia office.

You Will:

Build financial and predictive models to improve pricing strategies and increase revenue.
Analyze market trends, competitor pricing, and customer behavior to design pricing experiments.
Collaborate with partners to develop and implement pricing strategies that align with team goals.
Provide data-driven recommendations to senior leadership to inform pricing strategy.
Partner with GM, Product, and Finance teams to transform complex datasets into rigorous data products. Act like a bridge between business leaders and the Machine Learning organization.

You Have:

Experience: 5+ years of professional experience in data science, machine learning engineering, research science, or a related quantitative field.
Scope & Autonomy: Proven ability to lead complex data projects from conception to completion with minimal supervision, identifying high-leverage opportunities for the business.
Technical Mastery: Expertise in Python or R for advanced data analysis and predictive modeling, alongside mastery of SQL for complex data extraction.
Statistical Rigor: Advanced understanding of statistical concepts, including A/B testing, probability theory, and causal inference, applied to real-world business problems.
Strategic Thinking: Ability to look beyond “what happened” to determine “why” and “what's next,” translating complex findings into clear strategic narratives.
Education: Masters's degree in economics, computer science, mathematics, engineering, or another quantitative field (PhD preferred).

Compensation Details. The starting base salary range for this position is typically $168,000-$210,000. 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.

#LI-HYBRID

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.

What our Remitlians say

Evelyne Kuo

Program Manager - Technical

On the Security & Privacy team, I reimagine what’s possible by going beyond traditional compliance to create a culture where security is part of everyone’s day-to-day — through programs like our champion network, engaging training sessions, and company-wide awareness events that make security approachable and empowering.”

What our Remitlians say

Amara Agbo

Software Development Engineer II

To me, reimagining what’s possible means constantly learning new technologies and applying cutting-edge solutions to build localized systems that scale across currencies, countries, and regulations. The challenges we solve at Remitly don’t just strengthen our platform — they expand financial access for millions of people worldwide. That’s what makes the work both exciting and impactful.”

What our Remitlians say

Rosa Castellon Herrera

Senior Team Manager - QA

Stand for excellence means to me always raising the bar, pushing through discomfort, to deliver our best to our teams and customers every time. We come together as a team to share ideas to develop a rubric that helps us deliver impactful results.”

What our Remitlians say

A photo of a Remitly employee, smiling and looking at the camera.

Stephanie Cameron

Senior Product Manager

On the product team at Remitly, I’m trusted to make decisions that drive real impact—not just for my team, but for the business and our customers. I’m encouraged to take ownership of problems even when they’re outside my immediate scope, to speak up, and to bring the right people together to solve them. Lately, that’s meant working on real-time FX and funding tools that support our treasury team in lowering transaction costs—so we can pass those savings on to our customers. That trust and cross-team collaboration make it easy to stay focused on what really matters in the long run.”

What our Remitlians say

Nadav Yekutiel

Senior Manager - Analytics

At Remitly, diving deep has meant pushing past easy answers to truly understand what our customers need. I’ve seen our analytics teams uncover insights that weren’t obvious at first glance — like identifying hidden friction points in the customer journey that, once solved, improved both experience and trust. This commitment to going beyond the surface makes our recommendations stronger, and it’s a big part of how we deliver meaningful impact across the business.”