Sr Data Scientist

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 at BECU, you’ll play a critical role in shaping how data drives strategic decision-making across the organization. You’ll design advanced predictive models and machine learning solutions that uncover insights, improve member experiences, and support data-informed business strategies. By partnering with cross-functional teams, you’ll translate complex business challenges into scalable analytics solutions that generate measurable impact. Your expertise will help elevate BECU’s data science capabilities, enabling more intelligent experimentation, automation, and predictive insights. Through innovation and collaboration, you’ll help turn data into meaningful outcomes that strengthen how we serve our members. 

WHAT YOU’LL DO 

• Build Advanced Machine Learning Models: Design, develop, test, and deploy advanced statistical and machine learning models that solve complex business problems and deliver measurable business value. 

• Explore and Prepare Data for Modeling: Conduct exploratory data analysis, feature engineering, and dataset preparation to support robust model development and experimentation. 

• Evaluate and Improve Model Performance: Monitor and refine models to ensure accuracy, scalability, and sustained business impact while identifying opportunities for optimization. 

• Design and Execute Experiments: Lead hypothesis-driven experimentation, including A/B testing and controlled experiments, to inform product, marketing, and business decisions. 

• Contribute to MLOps and Model Deployment: Support the development and implementation of scalable MLOps frameworks to enable reliable model deployment, monitoring, and lifecycle management. 

• Translate Business Needs into Data Solutions: Partner with business stakeholders to understand objectives and convert complex challenges into actionable analytical strategies. 

• Communicate Insights Clearly: Present findings and recommendations through compelling storytelling, visualizations, and presentations tailored to both technical and non-technical audiences. 

• Collaborate Across Teams: Work closely with data engineers, analysts, product teams, and business leaders to integrate data science solutions into production systems and decision workflows. 

• Mentor and Guide Team Members: Provide guidance to fellow data scientists and analysts on technical approaches, modeling strategies, and career development. 

• Advance Data Science Best Practices: Contribute to the evolution of data science standards, processes, and best practices across the organization. 

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 solve complex, high-impact problems using advanced analytics and machine learning. 

• A chance to influence enterprise decision-making through predictive modeling, experimentation, and data storytelling. 

• Hands-on experience building and scaling models within modern cloud data environments and MLOps frameworks. 

• Collaboration with cross-functional leaders across product, marketing, analytics, and engineering teams. 

• Opportunities to mentor peers and shape the evolution of data science practices at BECU. 

• The ability to make a direct impact on member experience, financial wellbeing, and organizational strategy. 

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 a related analytical discipline, with demonstrated success developing predictive models and delivering data-driven solutions that influence business decisions with proficiency in programming languages such as Python, R, and SQL, including experience building scalable analytical models and working with large datasets. 

• Working knowledge of statistical modeling, machine learning techniques, and core data engineering principles, with the ability to apply them to complex real-world problems. 

• Proven communication, presentation, and project management skills, with the ability to translate complex analytical findings into clear, actionable insights for technical and non-technical stakeholders. 

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)

JOIN THE JOURNEY 

Ready to make an indelible impact? Eager to be part of a collaborative and innovative team where your ideas and contributions don’t just fill a role but fuel the growth and success of BECU? This is more than a job – it’s a chance to elevate your career, skills, and future, all while contributing to the robust operational landscape of BECU. 

Embrace the opportunity to grow with us. Apply now, bring your expertise to the table, and let’s achieve excellence together at BECU. Your journey of influence, innovation, and impactful contribution starts now. #BECU #YourGrowth #BECUJourney