Data Scientist; Mid-Senior Level

At Jack Henry, we deliver technology solutions that are digitally transforming and empowering community banks and credit unions to provide enhanced and streamlined user experiences to their customers and members. Our best‑class products are just the start as we lay the groundwork for the future of digital banking and payments. We hope you’ll join us. We can’t do it without you.

The Data Hub team is central to this mission. We are responsible for building and maintaining Data Hub, our strategic data marketplace powered by Google Big Query. This marketplace enables us to provide our customers with a rich, curated data set serving as the foundation for our next‑generation analytics and AI/ML capabilities.

We are seeking a talented data scientist to join our team! This individual will assist with evaluating and broadening our data infrastructure, collaborate across product groups and departments internally, and help us turn customer data into transformative insight. The growth potential is limitless, particularly as our machine learning capacity grows. The ideal candidate is knowledgeable, creative, and collaborative, and can communicate how data can make a big impact.

This is a remote position, but candidates must live within approximately a 70‑mile radius of our office locations in:
Allen, TX;
Birmingham, AL;
Cedar Falls, IA;
Charlotte, NC;
Lenexa, KS;
Louisville, KY; and Springfield/Monett, MO. All positions, regardless of location, may require an onsite interview or in‑person onboarding requirement to verify your identity.

Salary range for this position is $90,000‑170,000, depending on candidate experience and geographic location.

This position is ineligible for immigration sponsorship and support. Please do not apply if at any time you will need immigration support now or in the future (i.e., H-1B, STEM OPT Training Plans, etc.).

• Performs and may lead data onboarding, integration, and curation activities to transform raw enterprise data into a valuable, organized asset.
• Designs, develops, and implements robust data models within Looker and Big Query, specifically for our JH Insights application.
• Applies rigorous data validation techniques and quality checks to ensure the accuracy, consistency, and reliability of data.
• Transforms raw data into meaningful features suitable for both analytical dashboards and the development of future AI/ML models.
• Prepares and cleans complex datasets for machine learning initiatives, including data normalization, outlier detection, and feature selection.
• Performs exploratory data analysis to uncover trends, patterns, and anomalies, translating complex findings into clear, actionable insights.
• Collaborates cross‑functionally with data engineering, product management, and business analysts to define requirements and deliver solutions.
• Creates and maintains comprehensive technical documentation for data definitions, transformations, and models.
• May lead data‑driven projects, mentor less experienced team members, and help shape technical direction.
• Other duties as assigned.

• Minimum of 4 years of progressive experience in a data science or data analyst role.
• Minimum of 2 years of experience with Python and SQL in a data‑related capacity.
• Experience with any or all of Snowflake, Big Query, Microsoft Fabric, or Redshift for data warehousing.
• Experience with Dataflow, Airbyte, Airflow, or dbt for data movement.
• Experience collaborating with various stakeholders such as product management, data engineering, and business analysts.
• Experience designing and implementing complex data models in cloud data warehouses.
• Understanding of machine learning concepts, algorithms, and their practical application.
• The ability to lead projects, work independently on complex issues, and translate business problems into data‑driven solutions.
• Ability to travel up to 10% for business meetings and conferences.

• Master’s degree or Ph.D. in a quantitative field.
• Experience with big data processing frameworks and technologies.
• Experience with Looker or similar tools for data exploration, dashboard creation, and LookML development.
• E…