EasyPay Finance is hiring a
DATA SCIENTIST

Summary

The Data Scientist I will work under the Head of Credit Risk and Analytics, leveraging advanced statistical, programming, and analytical skills to mine data for delivering business insights. They will collaborate with other analysts and business stakeholders to gather requirements, define KPIs, implement reporting solutions, and present analytical results and ML/AI solutions to key business stakeholders.

Requirements

• SQL
• R/Python
• 3+ years of experience in an analytical role or equivalent combination of degree and work experience
• Understanding of statistical modeling techniques and ML/AI algorithms
• Exceptional critical thinking and problem-solving ability
• Excellent attention to detail and accuracy
• Self-starter and ability to work autonomously
• Ability to multi-task and manage multiple projects at the same time
• Very strong analytical skills to identify trends & patterns in datasets and interpret, synthesize, and communicate insights
• Proficient in BI reporting platforms: Microsoft Power BI, Tableau

Responsibilities

• Use SQL, Python, R to pull data and perform analysis
• Creates and improves reporting on KPI’s on all aspects of the business
• Collaborate and assist in performing quality assurance checks on output prior to completion
• Develops a deep end-to-end understanding of data strategy, structure and overall use within the business
• Interface and communicate with business customers and team leads for scope, estimates, requirements, and project deliverables
• Interface with the various information technology groups, as needed, for source-to-target mappings and reporting interfaces
• Apply Machine Learning/AI solutions to business problems
• Perform analysis and provide recommendations with the aim to improve KPIs for improved portfolio performance
• Present analytical results and ML/AI solutions to key business stakeholders
• Design A/B testing scenarios to allow for objective measurements for improving business decisions and outcomes
• Use Tableau, Power BI, Python, and/or R to automate monitoring of reports/metrics
• Perform other duties as assigned

Preferred Qualifications

• Knowledge of consumer finance
• Data Lake and AWS experience
• Bitbucket/GitHub experience

Benefits

• Medical, Dental and Vision insurance
• Relax and recharge with our Paid Time Off (PTO) Program; plus paid holidays
• Financial health with 401(k) programs and employer match
• Take care of your emotional, physical, and financial wellbeing with access to our EAP
• We invest in your future through ongoing learning and development resources
• Save on taxes with Flexible Spending or Health Savings Accounts
• Peace of mind with Life and AD&D Insurance
• Internet allotment- $40 per month
• Discounts for shopping at various retailers