Senior Data Scientist - GMM
Senior Data Scientist - GMM
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Job Description
Job Description:
Remitlys 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 2700 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 youll 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 Remitlys Global Money Movement (GMM) organization and will shape our data science and machine learning (ML) roadmap. Youll 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 proofofconcepts 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 decisionmaking
You Have:
- 6 years of experience developing datadriven 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 datadriven solutions
- Experience building collaborative hightrust relationships with partnersranging 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 $168000 $210000 . 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. #LIHybrid
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 womans potential to get pregnant pregnancyrelated 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 or stalking or any other protected class as established by law.
Remitly is an EVerify Employer
Remitly is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Required Experience:
Director
Employment Type
Full-Time
