Senior Data Scientist – Core AI/ML

Seattle, WA, United States of America

Category: Analytics & Data Science
Job ID: R_105695
Job Type: Regular

Job Description:

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.

What You’ll Do

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.

What You Bring

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.

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

Job Description:

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.

What You’ll Do

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.

What You Bring

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.

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.”