Data Scientist III
About this role
Job Description:
The Data Scientist III is a senior individual contributor responsible for leading complex machine learning and advanced analytics workstreams that support customer intelligence, behavioral prediction, personalized engagement, and measurable product and client outcomes. This role owns broader predictive modeling domains end-to-end, provides technical guidance to other contributors, and partners closely with product, engineering, MLOps, and data teams to deliver reliable, production-ready solutions.
Lead the design, development, validation, and deployment of production-grade machine learning models for customer segmentation, propensity scoring, behavioral prediction, and related customer intelligence use cases.
Own the full model lifecycle for complex workstreams, including problem framing, data exploration, feature engineering, training, validation, deployment readiness, monitoring, retraining, and performance interpretation.
Define evaluation frameworks and success metrics that connect model performance to client, product, and business outcomes.
Partner with product and engineering leaders to shape modeling roadmaps, clarify trade-offs, and prioritize high-impact analytical solutions.
Provide mentorship, code review, and technical guidance to data scientists, analysts, and adjacent technical partners.
Establish and promote best practices for model documentation, reproducibility, explainability, fairness, governance, and compliance review.
Collaborate with MLOps, engineering, and data platform teams to ensure scalable, reliable, and maintainable model deployment patterns.
Communicate complex modeling concepts, analytical findings, and business implications clearly to technical and non-technical stakeholders, including leadership and clients.
Requirements
Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Engineering, Data Science, or a related quantitative field, with 5–8+ years of progressive experience in applied machine learning, data science, or advanced analytics and a demonstrated track record of delivering impact in production environments.
Expert proficiency in Python, including libraries such as pandas, scikit-learn, XGBoost, or LightGBM, and SQL is required. Proven experience developing and deploying machine learning solutions end-to-end, including problem framing, validation, monitoring, lifecycle management, and stakeholder adoption, is required.
Strong foundation in statistical modeling, supervised and unsupervised learning, customer analytics, experimental design, A/B testing, model validation frameworks, and responsible AI practices is expected.
Experience with cloud platforms, preferably AWS, modern data ecosystems, Snowflake, MLOps tooling, and production deployment patterns is expected. Strong stakeholder management and communication skills are required, including the ability to engage with leadership and clients.
Preferred skills
Experience in financial services, fintech, or other regulated environments is strongly preferred.
As a forward-thinking software provider, Computer Services, Inc. (CSI) helps community and regional financial institutions solve their customers’ needs through open and flexible technologies. In addition to its award-winning core banking platform, these include the latest in lending, digital banking, payments, financial crime prevention and cybersecurity. Building on its 60-year track record of personalized service, CSI is shaping the future of banking and empowering its customers to rival their competition. For more information about CSI, visit
CSI provides rewarding and challenging career opportunities for our employees. When determining your pay, we consider various factors such as your skills, qualifications, experience and location. Along with a competitive salary, this position includes eligibility for incentive awards based on both individual and business performance. We also offer a comprehensive range of benefits. To learn more about our benefits, visit: Benefits Summary
CSI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, physical and mental disability, marital status, veteran status, or any other characteristic protected by applicable law. If you need an accommodation during the recruitment process, please email us at and we will work with you to meet your accessibility needs.
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Visa Sponsorship: We are unable to offer visa sponsorship for this position. Applicants must be authorized to work in the United States without the need for sponsorship now or in the future.
Originally posted on Himalayas
