Demo

Data Scientist II

Remitly
Seattle, WA Full Time
POSTED ON 3/8/2025
AVAILABLE BEFORE 4/6/2025
Job Description

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

The Trust Machine Learning team protects Remitly's customers by developing intelligent systems that prevent fraud. These systems assess the risk of every transaction and customer interaction, while minimizing the impact on user experience and customer trust.

As an embedded data scientist, you will understand fraud trends, uncover new fraud signals, and use data to optimize our risk decision policies. You will report to the Manager of Trust Machine Learning. This role is hybrid and based in Seattle, WA.

You Will

  • Discover and deliver fraud signals that improve model performance to target and prevent first-party fraud, consumer fraud, and unwanted activity
  • Manage and assess risk decision policies that improve automated fraud prevention outcomes, balancing risks with operational and customer impacts
  • Design metrics and dashboards that communicate fraud model efficacy to business partners
  • Design and conduct A/B experiments to assess and understand the impact of fraud decision policy changes
  • Partner with machine learning engineers to ensure features are well-integrated and optimized for production models

You Have

  • 3 or more years of experience using SQL and Python or R for exploratory data analysis, statistical analysis, and machine learning
  • Proficiency creating dashboards and visualizations using tools such as Tableau, Power BI, Mode, or similar technology
  • Experience designing, running, and analyzing experiments to inform business strategy
  • A degree in data science, statistics, mathematics, operations research, or related field (or equivalent experience)

Compensation Details. The starting base salary range for this position is typically $ 168,000 -$200,000. 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

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.

Salary : $168,000 - $200,000

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