PAY RANGE

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. At BECU, 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.

BENEFITS – because people helping people starts 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

To join our dynamic team, we require candidates to be residents of WA, CA, VA, NC, OR, ID, AZ, TX, GA, or SC. If you’re located in Washington state and within a reasonable driving distance from Tukwila, we are requesting that you come into our HQ on Tuesdays & Wednesdays.  For those candidates that 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. 

IMPACT YOU’LL MAKE

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

This role is deeply business-facing. You’ll work side-by-side with stakeholders to define problems, design analytical approaches, and guide decisions through data. While you’ll leverage statistical and machine learning models, success in this role is defined by your ability to connect those solutions to real business outcomes and adoption.

WHAT YOU’LL DO

• 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.

This isn’t just about ticking off tasks on a list. It's about making a significant, positive change in BECU’s journey, where your contributions are valued, and your growth is continually fostered.

WHAT YOU’LL GAIN

• 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?”

QUALIFICATIONS

Minimum Qualifications

• 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 frameworks)

• Strong communication skills with the ability to present insights and influence decisions across non-technical stakeholders

• Proficiency in Python, R, and SQL

Desired Qualifications

• Advanced degree (Master’s or PhD) in a quantitative discipline preferred. 

• Experience working within financial services or regulated industries. 

• Experience with cloud platforms such as AWS, Azure, or GCP. 

• Experience with MLOps tools such as MLflow, Airflow, Kubeflow, or similar frameworks. 

• Familiarity with BI tools such as Tableau or Power BI and marketing analytics platforms such as Salesforce Marketing Cloud or Google Analytics. 

• Experience designing systems for large-scale data processing (e.g., Snowflake, BigQuery, Redshift, Spark)