Sr Data Scientist - Member Growth & Prescreen Modeling

Is it surprising to hear that a financial institution of 1.5 million members and over $30 billion in managed assets say that success comes from focusing on people, not profits?

Our "people helping people" philosophy has guided us since 1935, driving our deep commitment to serving our members, communities, and each other. When you join our team, you become part of a purpose-driven organization where your work makes a real difference.

While we're proud of our history, we're even more excited about our future. With business and technology transformation on the horizon, there's never been a better time to be part of BECU.

You bring more than your expertise to your role, and that matters here. Your story, perspectives, and lived experiences help shape belonging at BECU and deepen how we connect with and support our employees, our members, and our communities.

PAY RANGE

BENEFITS - because people helping peoplestarts with supporting you

• 401(k) Company Match (up to 3%)

• 4% annual contribution to your 401(k) by BECU

• Medical, Dental and Vision (family contributions as well)

• PTO Program + Exchange Program

• Tuition Reimbursement Program

• BECU Cares volunteer time off + donation match

• Partner with Marketing to Solve Business Challenges: Collaborate with Marketing, Product, and business stakeholders to understand member acquisition, prescreen, prospecting, and cross-sell objectives, translating business needs into analytical strategies that improve targeting, eligibility, and campaign performance.
• Build Predictive Models: Design, develop, validate, and maintain statistical and machine learning models that support prescreen targeting, prospect prioritization, propensity modeling, segmentation, eligibility decisioning, and uplift modeling.
• Optimize Campaign Performance: Lead A/B testing, champion-challenger testing, and experimentation efforts to evaluate campaign effectiveness, identify performance drivers, and improve member engagement, conversion, and marketing ROI.
• Transform Data into Business Insights: Analyze complex datasets and communicate actionable recommendations that quantify business impact through metrics such as conversion lift, campaign effectiveness, engagement improvement, operational efficiency, and return on investment.
• Operationalize Data Science Solutions: Partner with Data Engineering and Technology teams to deploy scalable machine learning models, support production-ready analytical solutions, and maintain reliable data pipelines that enable continuous optimization.
• Influence Through Data Storytelling: Present analytical findings, recommendations, and strategic tradeoffs through compelling visualizations and executive-ready presentations that influence business decisions across technical and non-technical audiences.
• Collaborate Across the Enterprise: Work closely with data engineers, analysts, product managers, marketers, and business leaders to integrate predictive analytics into enterprise decision-making and operational workflows.
• Mentor and Develop Others: Provide guidance, coaching, and technical mentorship to fellow data scientists and analysts while promoting best practices across the data science community.
• Advance Data Science Practices: Contribute to the evolution of enterprise data science standards, modeling approaches, experimentation frameworks, and MLOps capabilities to improve scalability and long-term success.
• Take on Additional Responsibilities: Perform other duties as assigned to support the evolving needs of the team and organization.

• The opportunity to solve complex business challenges that directly influence member acquisition, engagement, and growth.
• Visibility and collaboration with leaders across Marketing, Product, Technology, Analytics, and Data Engineering.
• A role where your expertise in predictive modeling, experimentation, and machine learning directly shapes enterprise strategy and business performance.
• Opportunities to mentor fellow data scientists while helping advance BECU's data science capabilities and best practices.
• A place on a team that values innovation, continuous learning, collaboration, and measurable business impact.

• Bachelor's degree with emphasis in Data Science, Computer Science, Statistics, Mathematics, Economics, or a related quantitative discipline, or equivalent work or educational experience required.
• Minimum 5 years of experience developing predictive analytics and machine learning solutions, with demonstrated success designing statistical models, applying advanced analytical techniques, and translating business problems into scalable, data-driven solutions using Python, SQL, R, or similar programming languages.
• Demonstrated ability to communicate complex analytical concepts to technical and business audiences while managing multiple initiatives through strong analytical, problem-solving, organizational, and critical thinking skills.

• Advanced degree preferred.
• Experience working within financial services or another highly regulated industry preferred.
• Experience with cloud platforms such as AWS, Azure, or GCP preferred.
• Experience with MLOps tools such as MLflow, Airflow, Kubeflow, or similar frameworks preferred.
• Experience supporting customer acquisition, direct marketing, CRM analytics, prescreen marketing, campaign optimization, or customer lifetime value modeling preferred.
• Experience with large-scale data platforms such as Snowflake, Spark, BigQuery, or Redshift preferred.

BECU is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, veteran status, disability, sexual orientation, gender identity, or any other protected status.