Note: The job is a remote job and is open to candidates in USA. Computer Services, Inc. (CSI) is a software provider serving community and regional financial institutions through banking and financial technology solutions. CSI is seeking a Data Scientist to build, validate, deploy, and monitor machine learning models for customer intelligence, behavioral prediction, and personalized engagement while collaborating with senior data scientists and cross-functional teams.
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 that connect model outputs to client business outcomes
- Collaborate with product, engineering, and data engineering peers on cross-functional initiatives
- Document modeling work clearly for internal stakeholders, financial institution clients, and compliance review
- Participate in technical discussions, code reviews, and team learning sessions to grow technical breadth and depth
- Support analytical work and dashboards that translate model outputs into actionable insights for clients
Skills
- 3-5 years of experience in applied machine learning, data science, or analytical engineering roles, with 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, and 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
- Applicants must be authorized to work in the United States without the need for sponsorship now or in the future
- Experience in financial services, fintech, or other regulated industries
- Familiarity with Snowflake, MLOps tooling, or model deployment patterns
- Experience with experimental design, A/B testing, or causal inference
- Prior internship or co-op experience with applied ML in industry
- Experience with data visualization tools (Domo, Tableau, Power BI) for communicating model outputs to stakeholders
Benefits
- Eligibility for incentive awards based on both individual and business performance
Company Overview