DATA SCIENTIST I at EasyPay Finance
Atlanta, Georgia, USA -
Full Time


Start Date

Immediate

Expiry Date

10 Oct, 25

Salary

80000.0

Posted On

11 Jul, 25

Experience

3 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Data Science, Computer Science, Economics, Mathematics, Statistics

Industry

Financial Services

Description

We are currently seeking a DATA SCIENTIST I to join our Team!
Overview of EasyPay
EasyPay Finance, a fast-growing financial services technology firm established in 2001, assists merchants within the automotive services and retail industries to meet the financing needs of their customers at the point-of-sale. Headquartered in San Diego County, California, EasyPay Finance is working diligently to provide our clients and their customers with a superior product and experience. We are committed to empowering our dedicated employees, and providing competitive compensation, benefits, and incentives. When you join EasyPay, you become part of a team that is focused on working collaboratively to be the best in a fast-paced and emerging market.

GENERAL SUMMARY

Reporting to the Head of Credit Risk and Analytics, the Data Scientist will play a key role in company efforts of transforming to a data-driven organization. You will leverage advanced statistical, programing and analytical skills to mine data for delivering business insights. Partnering with other analysts and business stakeholders, you will help turn these insights into actionable data-driven solutions. The Data Scientist will partner with key business stakeholders to gather requirements, define KPIs and implement reporting solutions. The Data Scientist will be responsible for preparing and summarizing results of solutions for business problems and present those to the business.

DESIRED KNOWLEDGE/SKILLS:

  • Knowledge of consumer finance
  • Data Lake and AWS experience

QUALIFICATIONS:

  • Education: Master’s Degree in Computer Science, Mathematics, Statistics, MIS, Data Science, Economics, or a related field.

COMPENSATION:

Salary Range: $80 - $100k annually

EasyPay is an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

  • The Company reserves the right to modify, change, or apply this job description in any way the company desires. This job description in no way implies that these are the only duties, including essential duties, to be performed by the employee occupying this position. This job description is NOT an employment contract, implied or otherwise. The employment relationship remains “at will”. These job requirements are subject to change to reasonably accommodate qualified individuals.

How To Apply:

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Responsibilities
  • Use SQL, Python, R to pull data and perform analysis.
  • Creates and improves reporting on KPI’s on all aspects of the business, including financial, consumer underwriting and performance, sales, marketing, and call center metrics.
  • 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 to improve 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.
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