Enterprise Reporting and Analytics - Data Scientist

Data ScientistStatus: Exempt Reports to: VP - Business Services - Analytics and Risk Department: Enterprise Reporting and Analytics Job Code: 12031 Pay Range: $135,350.00 - $148,000.00 AnnuallyWHO WE ARE: 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.WHO YOU ARE: 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.WHAT YOU'LL DO: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 the Enterprise Reporting & Analytics team.QUALIFICIATIONS AND PREFERENCES:Bachelor's Degree Computer Science, Mathematics, Statistics, Business Analytics, Data Science, or a related quantitative discipline requiredMaster's Degree preferredEquivalent relevant experience may be substituted for degree.7+ years years of progressive experience in analytics, data science, or quantitative analysis, required including:3+ years of experience with SAS, SQL, Python and/or R for statistical analysis and modeling required3+ years of experience applying machine learning techniques in professional environments requiredExperience supporting analytics solutions within modern data platforms (e.g., Snowflake, Databricks, BigQuery, Redshift) preferredFinancial services or other regulated industry experience preferredWHY JOIN US: Golden 1 Credit Union provides its employees a market-competitive and internally equitable total rewards compensation package through a variety of programs. These programs are designed to attract, motivate, and retain employees that drive and support the achievement of Our Mission, Vision, and Strategic Goals. The Credit Union is committed a total rewards philosophy built on; a comprehensive compensation package, well-being and work-life balance, career development and growth, rewards and recognition, and a commitment to Diversity, Equity and Inclusion. We believe in fostering a workplace where every employee is recognized, valued, and motivated to contribute their best.