Data Scientist

Remitly is looking for a Data Scientist to work on developing credit and fraud risk models, utilizing advanced machine learning, statistical and quantitative methodologies. The role involves utilizing programming skills in Python, designing and conducting statistical analyses, and collaborating with cross-functional teams.

Requirements

• Master's degree in Statistics, Data Science, Data Analytics, Mathematics, or a related quantitative field
• 2 years of experience with data and business analysis
• 1 year of experience applying advanced machine learning and statistical modeling techniques
• 1 year of experience developing and maintaining Power BI dashboards
• 1 year of experience communicating complex quantitative concepts to non-technical stakeholders
• 1 year of experience analyzing time-series data, performing multivariate analysis, and conducting causal inference
• 1 year of experience designing and executing statistical experiments using A/B testing frameworks
• 1 year of experience building and automating ETL pipelines using tools such as Azure Data Factory
• 1 year of experience monitoring and troubleshooting data pipelines and analytical workflows in production environments
• 1 year of experience utilizing Azure Databricks, MySQL, PostgreSQL, Python, R, SQL, Tableau, Power BI, SQL Server Management Studio (SSMS), Azure Data Factory, Azure Repos, PySpark, Jupyter Notebooks, and advanced Excel

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