Data Scientist
$96.9k - $118.4kBECU
Is it surprising to hear that a financial institution of 1.5 million members and over $30 billion in managed assets say that 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. While we're proud of our history, we're even more excited about our future. With business and technology transformation on the horizon, there's never been a better time to be part of BECU. PAY RANGE The Target Pay Range for this position is $96,900.00-$118,400.00 annually. The full Pay Range is $75,300.00 - $140,100.00 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
IMPACT YOU'LL MAKE As a Data Scientist at BECU, you'll help shape how we understand and engage with our members by turning complex data into meaningful insights and predictive solutions. You'll build models that identify opportunities to strengthen member relationships, improve onboarding experiences, and support financial wellbeing. Working closely with cross-functional partners across marketing, analytics, and product teams, you'll uncover patterns that help BECU anticipate member needs and drive smarter decisions. Your work will power experimentation, predictive insights, and data-driven strategies that elevate how we serve our members. Through advanced analytics and storytelling, you'll help transform data into impactful member experiences.
WHAT YOU'LL DO
- Build Predictive Models: Develop, validate, and deploy statistical and machine learning models that help identify member behaviors, such as engagement patterns, product adoption opportunities, and potential member dormancy or attrition.
- Design Experiments and A/B Tests: Lead methodology design for controlled experiments to evaluate onboarding strategies, engagement programs, and marketing initiatives while ensuring statistical rigor and actionable insights.
- Transform Data into Insights: Translate complex analytical findings into clear, compelling narratives using visualizations, dashboards, and presentations that support strategic decision-making.
- Collaborate Across Teams: Partner with marketing, product, analytics, and engineering teams to define business problems, gather requirements, and deliver data-driven solutions that improve member experiences.
- Develop Advanced Datasets: Build and maintain intermediate to complex datasets-including structured and unstructured data-using tools such as Python, SQL, or Spark to support modeling and analysis.
- Explore Data for Strategic Opportunities: Use analytical research and exploratory techniques to uncover trends, opportunities, and emerging insights that support divisional and organizational goals.
- Support Data Science Excellence: Participate in peer reviews, knowledge-sharing forums, and data science communities to promote high-quality analytics practices and continuous learning.
- Manage Model Lifecycle: Monitor model performance, evaluate results, and optimize models over time to ensure continued accuracy, reliability, and business value.
- Adapt and Support Business Needs: Take on additional responsibilities and initiatives that support evolving data science priorities across the organization.
WHAT YOU'LL GAIN
- The opportunity to apply advanced analytics and machine learning to real-world member engagement and financial wellbeing challenges.
- A chance to work on high-impact predictive models that directly influence onboarding experiences, engagement strategies, and product recommendations.
- Hands-on experience building data science solutions within a modern cloud data ecosystem including Snowflake, Azure, and Python-based tools.
- Collaboration with cross-functional teams including marketing, product, analytics, and engineering to solve meaningful business problems.
- An environment that encourages innovation, experimentation, and continuous learning in data science and analytics.
- The ability to make a direct impact on how BECU serves and supports its members throughout their financial journey.
- Bachelor's degree in Data Science, Computer Science, Statistics, or a related field, or equivalent combination of education and experience.
- Minimum 2 years of experience in data science, including at least 1 year applying data science in a business or industry setting with proficiency in programming languages such as Python or R, with the ability to build, test, and deploy analytical models.
- Working knowledge of statistical analysis and machine learning techniques, with the ability to apply them to real-world business problems.
- Proven communication, presentation, and project management skills, with the ability to translate complex analytical findings into clear insights for diverse stakeholders.
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
EEO Statement: BECU is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, veteran status, disability, sexual orientation, gender identity, or any other protected status.
Vacancy posted 4 days ago
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