Data Scientist II
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Job Description
Data Scientist building and deploying customer-intelligence models for CSI’s banking software platform. Supporting segmentation, behavioral prediction, monitoring, and client-facing insights.
Responsibilities:
- Build and deploy machine learning models for customer segmentation, propensity scoring, and behavioral prediction in partnership with senior data scientists
- Own data exploration, feature engineering, and model validation for assigned modeling projects, with regular code review and technical guidance from the senior team
- Partner with MLOps engineers to deploy models to production and ensure ongoing performance through monitoring and retraining
- Contribute to evaluation frameworks and success metrics connecting model outputs to client business outcomes
- Collaborate with product, engineering, and data engineering peers on cross-functional initiatives
- Document modeling work for internal stakeholders, financial institution clients, and compliance review
- Participate in technical discussions, code reviews, and team learning sessions
- Support analytical work and dashboards translating model outputs into actionable insights for clients
Requirements:
- 3-5 years of experience in applied machine learning, data science, or analytical engineering roles
- At least 1 year in production-grade modeling work
- Strong proficiency in Python (pandas, scikit-learn) and SQL for data analysis and modeling
- Experience with supervised and unsupervised learning techniques including classification and regression
- Familiarity with common modeling pitfalls in customer behavioral data
- Hands-on experience with at least one cloud-based ML platform (AWS preferred, but GCP or Azure acceptable)
- Demonstrated ability to take a modeling project from problem framing through validation independently
- Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Engineering, or a quantitative field
- Strong communication skills and ability to translate technical work for non-technical audiences
Benefits:
- Eligibility for incentive awards based on both individual and business performance
- Comprehensive range of benefits
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