Enterprise Reporting and Analytics - Data Scientist

Job Title: Data Scientist

Status: Exempt

Reports to: VP
- Business Services
- Analytics and Risk

Department: Enterprise Reporting and Analytics

Job Code: 12031

Pay Range: $ - $ Annually

Golden 1 Credit Union is among the top credit unions in the country. As a member-owned, not-for-profit cooperative, Golden 1 is guided by the credit union philosophy of “people helping people.” We are committed to empowering our members and uplifting our communities as we create a more equitable and financially inclusive California. We welcome all who embrace our Core Values.

You apply advanced analytics, data science, and quantitative techniques to transform complex enterprise data into actionable insights that drive strategic initiatives, product decisions, and business performance. You are an analytics and data science professional who partners closely with business leaders and analytics peers to design, develop, and deliver sophisticated analytical solutions that drive data informed decision making across the organization. You translate complex and disparate data into clear, executive ready insights, leveraging strong technical rigor, sound methodology, and effective communication to support leadership visibility, forecasting, and long-term advancement of Golden 1’s analytics capabilities.

• Advanced Analytics & Data Science
  * Design, develop, and maintain advanced analytical and data science solutions that support business strategy and operational decision making.
  * Apply statistical and AI/machine learning techniques to business problems such as segmentation, targeting, forecasting, and optimization.
  * Manipulate, model, and analyze large, complex datasets using Python, SQL, and related tools to produce reliable and scalable insights.
• Analytics Solution Development
  * Contribute to the development of repeatable and scalable analytics solution frameworks that enable the operationalization of data science models.
  * Partner with data engineering teams to support data pipelines, model integration, and analytics workflows.
  * Support experimentation, pilots, and minimum viable products (MVPs) aligned to defined business use cases.
• Business Partnership & Insight Delivery
  * Translate complex and disparate data sources into clear data stories that enable data driven decision making.
  * Develop executive ready dashboards, visualizations, and analytical summaries using tools such as Power BI.
  * Prepare recurring and ad hoc analysis, reporting, and presentations to support management decision making, committee reviews, and enterprise information requests.
• Quality, Governance & Continuous Improvement
  * Ensure analytical work products comply with applicable standards, policies, regulations, and systems of internal control.
  * Maintain awareness of internal and external economic, market, and industry trends that may influence business outcomes.
  * Proactively identify opportunities to enhance analytics methods, tools, and processes to improve efficiency and impact.
  * Stay current on industry trends, and best practices related to analytics, risk modeling, AI, and machine learning.
• Experimentation & Innovation
  * Design and evaluate experiments, tests, and proofs of concept to assess new analytical approaches, tools, and technologies.
  * Proactively identify opportunities to automate, streamline, or enhance analytical and risk processes through improved data and modeling solutions.
• Collaboration & Development
  * Partner effectively with product managers, analysts, engineers, and other stakeholders to deliver high quality analytics solutions.
  * Provide guidance and informal mentorship to analysts on technical problem solving and analytics best practices.
  * Contribute as a subject matter resource within…