Sr Data Scientist - Marketing Analytics

US, Georgia

Is it surprising to hear that a financial institution of 1.5 million members and over $30 billion in managed assets says 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.

With business and technology transformation on the horizon, there's never been a better time to be part of BECU.

The target pay range is $–$ annually. The full pay range is $91,000.00–$ annually.

• 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

We require candidates to be residents of WA, CA, VA, NC, OR, , AZ, TX, GA, or SC. If you are located in Washington state and within a reasonable driving distance from Tukwila, we request that you come into our HQ on Tuesdays & Wednesdays. For those who live outside the commute distance of TFC and in any of our approved remote work locations, this role will be remote.

Remote or onsite, we are committed to ensuring you are fully engaged and included in our collaborative environment.

As a Senior Data Scientist at BECU, you'll serve as a strategic partner to Marketing, translating business challenges into data-driven solutions that influence decisions, optimize performance, and drive measurable results.

• Partner with Marketing to Define and Solve Problems – Work closely with marketing stakeholders to understand business challenges, define success metrics, and translate needs into analytical approaches that drive performance across campaigns and channels.
• Design and Deliver Data-Driven Solutions – Apply statistical analysis and machine learning to develop solutions that address business needs, then present findings, influence decisions, and gain alignment on adoption.
• Lead Experimentation and Optimization – Develop and manage testing frameworks (A/B testing, campaign experimentation) across channels and markets. Analyze results and provide clear recommendations to improve performance and inform future strategy.
• Translate Results into Business Impact – Clearly communicate insights and quantify outcomes (e.g., campaign performance lift, engagement improvements, ROI) to ensure stakeholders understand the value and take action.
• Partner to Operationalize Solutions – Collaborate with Technology and Engineering teams to transition validated models into production, supporting implementation through scalable pipelines and processes.
• Influence Through Storytelling – Present insights and recommendations to both technical and non-technical audiences, including senior stakeholders, to drive alignment and decision-making.

• The opportunity to become a trusted advisor to Marketing leaders, influencing strategy – not just delivering analysis.
• The ability to see your work translate into real improvements in campaign performance and business outcomes.
• Experience driving adoption and action, ensuring your models and insights are used – not just built.
• Ownership of experimentation strategies that shape optimization across channels and markets.
• The chance to guide decisions by answering what matters most: "What should we do differently based on this?"

• Bachelor's degree in Data Science, Computer Science, Statistics, or a related quantitative field, or an equivalent combination of education and professional experience.
• Minimum 5 years of experience in data science or analytics, with a strong focus on business-facing problem solving and proven experience partnering with business teams (preferably Marketing) to translate needs into analytical solutions.
• Experience building and applying statistical, machine learning models in real-world business contexts, and designing and analyzing experiments (A/B testing, campaign optimization, or similar…