Sr Data Scientist - Member & Prescreen Modeling

Overview

As a Senior Data Scientist at BECU, you’ll help shape how data drives member growth, marketing strategy, and enterprise decision‑making. You’ll partner closely with Marketing, Product, and Technology teams to solve complex business challenges through predictive analytics, machine learning, and experimentation.

• Partner 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.

Pay Range
:
The Target Pay Range for this position is $‑$ annually. The full Pay Range is $91,000.00‑$ annually. Compensation decisions are determined using factors such as relevant job‑related skills, experience, and education or training. Incentives are performance based and targets vary by role.

• 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

Eligible candidates must be residents of WA, CA, VA, NC, OR, , AZ, TX, GA, or SC. Candidates in Washington state within a reasonable driving distance from Tukwila may be required to work onsite at HQ on Tuesdays and Wednesdays. All other candidates will work remotely from approved locations. Remote or onsite, we are committed to ensuring you are fully engaged and included in our…