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Senior Data Scientist - Member Growth & Prescreen Modeling - BECU
Data Scientist
Lead the design and deployment of predictive models that drive member acquisition and prescreening decisions, leveraging Python, SQL, and cloud‑based machine‑learning pipelines to deliver actionable insights for a large financial institution.
About the role
Key Responsibilities
- Develop, test, and productionize machine‑learning models for member growth, credit prescreening, and risk assessment.
- Collaborate with product, engineering, and analytics teams to translate business objectives into data‑driven solutions.
- Design and maintain scalable data pipelines in SQL and cloud environments (AWS) to support model training and real‑time scoring.
- Perform exploratory data analysis, feature engineering, and statistical validation to ensure model robustness.
- Communicate findings and model performance to stakeholders through clear visualizations and documentation.
Requirements
- 5+ years of experience in data science or analytics, preferably in financial services.
- Proficiency in Python (pandas, scikit‑learn, TensorFlow/PyTorch) and advanced SQL querying.
- Strong background in statistical modeling, supervised/unsupervised learning, and model evaluation techniques.
- Hands‑on experience with AWS services such as S3, SageMaker, and Lambda for model deployment.
- Excellent problem‑solving skills and ability to convey complex concepts to non‑technical audiences.
Skills
pythonsqlmachine learningaws