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: $135,350.00 - $148,000.00 Annually

WHO 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 required
• Master’s Degree preferred
• Equivalent 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 required
• 3+ years of experience applying machine learning techniques in professional environments required
• Experience supporting analytics solutions within modern data platforms (e.g., Snowflake, Databricks, BigQuery, Redshift) preferred
• Financial services or other regulated industry experience preferred

WHY 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.

Please view the full job description detailing the complete list of duties and expectations for this role by clicking or copying this URL into your browser: https://golden1.jdxpert.com/ShowJob.aspx?EntityID=2&id=3265

DISCLAIMER/INTENT AND FUNCTION OF JOB DESCRIPTIONS:
The above information on this description has been designed to indicate the general nature and level of work performed by team members within this classification. Because the nature of positions and job functions can change over time, this job description is not designed to contain or be interpreted as a comprehensive inventory of all essential functions, duties, responsibilities and qualifications requirements of team members assigned to this job. Job duties may be changed or modified in the Credit Union’s discretion. The Credit Union will keep team members updated on key functions, duties, and requirements of their position by communications from the Credit Union and by updating the job description from time to time. Any team member with questions about the nature of their job duties is encouraged to consult with their supervisor.