Staff Temp - Intern - Data Scientist

Greenville, SC, US, 29601

Purpose Financial

Purpose Financial, Inc. is here to serve you with innovative consumer financial services that includes a diverse suite of credit products.

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Address: 322 Rhett Street, Greenville, South Carolina, United States - 29601   

 

Purpose Financial, Inc. is an innovative consumer financial services company that offers a diverse suite of credit products, promoting financial inclusion and meeting consumers wherever they are. Through its brands, the company is committed to helping customers achieve their version of financial stability in the moment and in the future.  Since 1997, Purpose Financial has been a pioneer in the consumer credit and financial services market offering money solutions in over 800 storefronts locations and online lending.  Providing services in over 23 states, Purpose Financial employs over 2,500 team members.

At Purpose Financial we are always on the lookout for motivated individuals who share in our values of mutual respect to join our team of outstanding professionals.

We offer:

  • Competitive Wages
  • Health/Life Benefits
  • Health Savings Account plus Employer Seed
  • 401(k) Savings Plan with Company Match
  • 3 Weeks of Paid Parental Leave
  • 11 Company Paid Holiday's
  • Paid Time Off including Volunteer Time
  • Vacation Carryover
  • Tuition Reimbursement
  • Work-Life Balance
  • Business Casual Environment
  • Rewards & Recognition Program
  • Employee Assistance Program
  • Office in downtown Greenville that offers free parking, onsite gym, free snacks/drinks (for those working onsite or hybrid)


To learn more about Purpose Financial visit Purpose Financial Website.

 

Position Summary

This position reports to the Manager, Data Scientist and is responsible for model development, evaluating effectiveness, helping to refine selection criteria, and communicating with the marketing department. The work will involve developing statistical machine learning (ML) models and build solutions to develop strategies and experimental designs. Other duties as assigned.

Job Responsibility

  • Participate in continued enhancement of machine learning models as additional data becomes available.
  • Learn how to manage daily & monthly optimizations for portfolio marketing, ensuring optimal volume within acceptable unit economic targets.
  • Participate in development of KPIs for tracking and improving marketing campaigns across traditional and digital channels. Take ownership of reporting of said KPIs and build the right dashboards to communicate performance.
  • Work cross-functionally with product, information technology, legal, and compliance teams for current direct mail marketing initiatives and to launch new marketing initiatives.
  • Collaborate with Marketing Team and Data Team to streamline data processes and assist with analytical requests.

Job Responsibilities Cont.

Education Required

Junior, Senior in undergrad or a postgraduate in Computer Science, Economics, Engineering, Mathematics, Statistics, or a related quantitative field.

Experience Required

None

Knowledge Required

Excellent written and verbal communications skills; adaptability and flexibility to changing environment; and comfortable working in a dynamic, high volume, fast-paced environment.  Ability to understand and ensure compliance with policies, procedures, and laws governing our industry/business and products.

  • Exposure to building machine learning models using SAS, R or Python
  • Exposure with the different types of machine learning techniques and the usual Python data science stack (Pandas, scikit-learn, NumPy, XGBoost, notebook environments, etc.) is preferred.
  • Exposure knowledge of SQL.
  • Comfortable with solving complex problems, working with computers and technology, and using higher level mathematics.
  • Excellent written and verbal communications skills would be needed to communicate in person, by phone, and through email.

Physical Requirements

Sitting for long periods of time; standing occasionally; walking; bending; squatting; kneeling; pushing/pulling; reaching; twisting; frequent lifting of less than 10 lbs., occasional lifting of up to 20 lbs.; driving and having access during the workday to an insured and reliable transportation; typing; data entry; grasping; transferring items between hands and/or to another person or receptacle; use of office equipment to include computers; ability to travel to, be physically present at, and complete the physical requirements of the position at any assigned location.

Competencies

Customer CommitmentVision-DrivenAction-OrientedPurpose-Driven

Travel

0%

Attire

Business Casual

Other

Must be eligible to work in the USA and able to pass a background check.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or disability.

Requisition ID: 45105 

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Tags: Computer Science Economics Engineering KPIs Machine Learning Mathematics ML models NumPy Pandas Python R SAS Scikit-learn SQL Statistics Travel XGBoost

Perks/benefits: 401(k) matching Career development Health care Parental leave

Region: North America
Country: United States

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