Data Scientist I

Summary

Join Pathward, a hybrid, remote-office financial empowerment company, and contribute to our mission of creating financial inclusion. This highly visible role involves developing and monitoring quantitative models, leveraging data science and analytics to understand customer needs and preferences. You will consolidate large datasets, mine and analyze data using various techniques, and develop machine learning models to predict credit outcomes and identify risks. This position requires strong analytical and communication skills, along with expertise in SAS, SQL, R/Python, and AWS. Pathward offers a competitive salary, performance-based incentives, and a comprehensive benefits package.

Requirements

• Master’s or PhD degree in an Finance, Business, Actuarial, or Analytics related field
• 2 years of experience in data mining, modeling using SAS, SQL, R/Python
• Strong analytical and problem-solving skills, combined with solid business acumen
• Exceptional written and communication skills, and ability to explain complex insights to a range of audience
• Strong technical skills such as SAS, R/Python, AWS Sagemaker and ability to independently access and analyze data using Snowflakes in AWS Cloud and on prem SQL environment
• Knowledge and experience with AI/ML and credit bureau data

Responsibilities

• Consolidate disparate and large datasets for use in reporting, analytical, and modeling work, including proper quality assurance and data management practices in accordance with data governance policy
• Mine, model, and analyze large datasets utilizing descriptive, predictive, and prescriptive analytics
• Develop insights from historical performance data, identify opportunities, and develop solutions using various analytical techniques
• Develop and support machine learning and statistical models for use in predicting credit outcomes, and/or identifying and quantifying various risks
• Design and deploy model monitoring frameworks to assess the performance of deployed models
• Advise senior management of emerging trends and risks
• Collaborate with vendors and technology teams to ensure new strategies and models are implemented accurately and as designed
• Conduct other ad hoc analyses as required to support team goals
• Additional duties as assigned

Preferred Qualifications

Experience in the consumer credit industry is a plus

Benefits

• Health insurance
• 401(k) retirement benefits
• Life insurance
• Disability benefits
• Paid time off
• Annual performance-based incentive opportunity