Data Scientist I: FinServ Analytics (Remote)

Pathward, N.A.; United States; Hybrid; USD 58,000 - 106,000; Full time

Benefits offered by this job

Health insurance

401(k) retirement benefits

Paid time off

Job summary

Pathward, N.A. in the United States seeks a Data Scientist I to support analytical solutions, model oversight, data quality, and decision-making across the organization.

This role blends hands-on data analysis with partner onboarding and monitoring to drive business outcomes. You will work with Data Science, business, risk, technology, and external partners to analyze data, validate models, monitor performance, and document analytical solutions.

Qualifications

• Bachelor’s degree in a quantitative field.
• Up to 2+ years of relevant experience.
• Experience with large datasets and statistical methods.
• Hands-on Python and SQL for data analysis and automation.
• Strong written communication and ability to document analyses.

Responsibilities

• Analyze large datasets using statistical and predictive methods.
• Support development, testing, and monitoring of models.
• Onboard and monitor partner models; ensure data quality and validation.
• Develop monitoring processes for models and data pipelines.
• Create technical documentation covering data, methods, and findings.
• Collaborate with business, risk, technology, and partners to implement solutions.

Skills

Python

SQL

Snowflake

AWS

Power BI

Git

Generative AI tools

Education

Bachelor’s degree in Data Science, Statistics, Mathematics, Economics, Engineering, Computer Science, Finance, Business Analytics

Tools

Python

SQL

Snowflake

AWS

Power BI

Git

Job description

Pathward, N.A. in the United States seeks a Data Scientist I to support analytical solutions, model oversight, data quality, and decision-making across the organization.

This role blends hands-on data analysis with partner onboarding and monitoring to drive business outcomes. You will work with Data Science, business, risk, technology, and external partners to analyze data, validate models, monitor performance, and document analytical solutions.