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Company:
Remitly Inc
Posted: April 21, 2025
Remitly's vision is to transform lives with trusted financial services that transcend borders.
Since 2011, we have been tirelessly delivering on our promises to people who send money around the world.
Today, we are reimagining global financial services and building products that extend beyond traditional barriers to give customers access to more of the services they need, no matter where they call home.
Join over 2,700 employees worldwide who are growing their careers with purpose and connection with our customers while having a positive impact on millions of people around the globe.
About the Role:
As a Senior Data Scientist, you'll work on a team solving some of the toughest challenges in the financial services industry.
Your work will directly improve our customer experience and the profitability of our business.
You will apply your expertise in forecasting, measurement, experimentation, causal inference, and statistical & ML modeling to solve crucial problems for Remitly's Global Money Movement (GMM) organization, and will shape our data science and machine learning (ML) roadmap.
You'll report to our Manager of ML & Data Science.
You Will:
Conduct deep exploratory analyses to understand performance drivers and triangulate opportunities within our production models and decisioning systems
Perform causal inference studies to measure the impact of our decisioning systems on customer and business metrics
Prototype and build proof-of-concepts for new model algorithms and architectures
Collaborate with ML engineers to improve production models and decisioning systems
Design & implement experiments that involve changes to models or decisioning systems
Develop measurement and experimentation frameworks
Communicate insights to business analysts, product managers, and program managers to influence strategy and decision-making
You Have:
6+ years of experience developing data-driven solutions to complex problems
Advanced expertise in SQL and proficiency in Python
Proficiency applying exploratory data analysis, experimentation, causal inference, and statistical & ML modeling skills within a business context
Ability to gather and understand business requirements and translate them into appropriate data-driven solutions
Experience building collaborative, high-trust relationships with partners-ranging from business analysts, product managers, program managers, ML engineers, and data / analytics engineers
Compensation Details:
The starting base salary range for this position is typically between $168,000 - $210,000.
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
We are committed to nondiscrimination across our global organization and in all of our business operations.
Employment is determined based upon personal capabilities and qualifications without discrimination on the basis of race, creed, color, religion, sex, gender identification and expression, marital status, military status or status as an honorably discharge/veteran, pregnancy (including a woman's potential to get pregnant, pregnancy-related conditions, and childbearing), sexual orientation, age (40 and over), national origin, ancestry, citizenship or immigration status, physical, mental, or sensory disability (including the use of a trained dog guide or service animal), HIV/AIDS or hepatitis C status, genetic information, status as an actual or perceived victim of domestic violence, sexual assault, or stalking, or any other protected class as established by law.
Remitly is an E-Verify Employer
Remitly is an equal opportunity employer.
We celebrate diversity and are committed to creating an inclusive environment for all employees.
•
Since 2011, we have been tirelessly delivering on our promises to people who send money around the world.
Today, we are reimagining global financial services and building products that extend beyond traditional barriers to give customers access to more of the services they need, no matter where they call home.
Join over 2,700 employees worldwide who are growing their careers with purpose and connection with our customers while having a positive impact on millions of people around the globe.
About the Role:
As a Senior Data Scientist, you'll work on a team solving some of the toughest challenges in the financial services industry.
Your work will directly improve our customer experience and the profitability of our business.
You will apply your expertise in forecasting, measurement, experimentation, causal inference, and statistical & ML modeling to solve crucial problems for Remitly's Global Money Movement (GMM) organization, and will shape our data science and machine learning (ML) roadmap.
You'll report to our Manager of ML & Data Science.
You Will:
Conduct deep exploratory analyses to understand performance drivers and triangulate opportunities within our production models and decisioning systems
Perform causal inference studies to measure the impact of our decisioning systems on customer and business metrics
Prototype and build proof-of-concepts for new model algorithms and architectures
Collaborate with ML engineers to improve production models and decisioning systems
Design & implement experiments that involve changes to models or decisioning systems
Develop measurement and experimentation frameworks
Communicate insights to business analysts, product managers, and program managers to influence strategy and decision-making
You Have:
6+ years of experience developing data-driven solutions to complex problems
Advanced expertise in SQL and proficiency in Python
Proficiency applying exploratory data analysis, experimentation, causal inference, and statistical & ML modeling skills within a business context
Ability to gather and understand business requirements and translate them into appropriate data-driven solutions
Experience building collaborative, high-trust relationships with partners-ranging from business analysts, product managers, program managers, ML engineers, and data / analytics engineers
Compensation Details:
The starting base salary range for this position is typically between $168,000 - $210,000.
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
We are committed to nondiscrimination across our global organization and in all of our business operations.
Employment is determined based upon personal capabilities and qualifications without discrimination on the basis of race, creed, color, religion, sex, gender identification and expression, marital status, military status or status as an honorably discharge/veteran, pregnancy (including a woman's potential to get pregnant, pregnancy-related conditions, and childbearing), sexual orientation, age (40 and over), national origin, ancestry, citizenship or immigration status, physical, mental, or sensory disability (including the use of a trained dog guide or service animal), HIV/AIDS or hepatitis C status, genetic information, status as an actual or perceived victim of domestic violence, sexual assault, or stalking, or any other protected class as established by law.
Remitly is an E-Verify Employer
Remitly is an equal opportunity employer.
We celebrate diversity and are committed to creating an inclusive environment for all employees.
•
Read the full job description and apply online on the recuiter's web-site
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