Sr Data Scientist - Member Growth & Prescreen Modeling

About the role

Join our dynamic team at BECU, a financial institution dedicated to serving 1.5 million members and over $30 billion in managed assets. Our "people helping people" philosophy guides us, and we're excited about transforming our business and technology to drive further growth and innovation.

Responsibilities

• Partner with Marketing to solve business challenges, including member acquisition, prescreen, prospecting, and cross-sell objectives.

• Build predictive models to support prescreen targeting, prospect prioritization, propensity modeling, segmentation, eligibility decisioning, and uplift modeling.

• Optimize campaign performance through A/B testing, champion-challenger testing, and experimentation efforts.

• Transform data into actionable insights and present findings through compelling visualizations and executive-ready presentations.

• Collaborate 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 in the data science community.

• Contribute to the evolution of enterprise data science standards, modeling approaches, experimentation frameworks, and MLOps capabilities.

Requirements

• Minimum 5 years of experience developing predictive analytics and machine learning solutions, with a focus on statistical models, advanced analytical techniques, and scalable solutions using Python, SQL, R, or similar programming languages.

• Demonstrated ability to communicate complex analytical concepts to both technical and business audiences.

• Strong analytical, problem-solving, organizational, and critical thinking skills.

Qualifications

• 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.

• 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%)

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

• PTO Program + Exchange Program

• Tuition Reimbursement Program

• BECU Cares volunteer time off + donation match

Pay

The Target Pay Range for this position is $117,200.00-$143,200.00 annually. The full Pay Range is $91,000.00 - $169,400.00 annually. Compensation decisions are determined using factors such as relevant job-related skills, experience, and education or training. Should an offer for employment be made, we will consider individual qualifications. In addition to your salary, compensation incentives are available for the hired applicant. Incentives are performance based and targets vary by role.

Schedule

Depending on location, candidates may need to come into our HQ on Tuesdays & Wednesdays in Tukwila, WA, or can be remote from approved locations.