Senior Data Scientist Core AIML

Seattle, OR - USA

Monthly Salary: Not Disclosed

Posted on: 3 hours ago

Vacancies: 1 Vacancy

Job Summary

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 Youll 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.

Required Experience:

Senior IC

Job Description:About the RoleAt 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 Seni...

Job Description:

About the Role

What Youll 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.