[Remote] Sr Data Scientist - Member Growth & Prescreen Modeling

Note: The job is a remote job and is open to candidates in USA. BECU is a financial institution with a commitment to serving its members and communities. As a Senior Data Scientist, you will leverage data to drive member growth and marketing strategies through predictive analytics and machine learning, collaborating with various teams to solve complex business challenges.

Responsibilities

• 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

Skills

• 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

Benefits

• 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

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