Data Scientist III
Employment Information
Report this job
Job expired or something wrong with this job?
Job Description
Data Scientist III leading production machine-learning and customer analytics for CSI’s banking software platform. Owning predictive-model lifecycles and partnering with product, engineering, and MLOps teams.
Responsibilities:
- 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 connecting 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
- 5–8+ years of progressive experience in applied machine learning, data science, or advanced analytics
- Demonstrated track record of delivering impact in production environments
- Expert proficiency in Python, including pandas, scikit-learn, XGBoost, or LightGBM
- SQL proficiency
- Experience developing and deploying machine learning solutions end-to-end, including problem framing, validation, monitoring, lifecycle management, and stakeholder adoption
- Strong foundation in statistical modeling, supervised and unsupervised learning, customer analytics, experimental design, A/B testing, model validation frameworks, and responsible AI practices
- Experience with cloud platforms, preferably AWS
- Experience with modern data ecosystems, Snowflake, MLOps tooling, and production deployment patterns
- Strong stakeholder management and communication skills
- Ability to engage with leadership and clients
- Experience in financial services, fintech, or other regulated environments is strongly preferred
- Applicants must be authorized to work in the United States without the need for sponsorship now or in the future
Benefits:
- Eligibility for incentive awards based on both individual and business performance
- Comprehensive range of benefits
Similar Jobs
Senior Data Scientist
Senior Data Scientist building production ML models for FourKites’ AI-driven supply-chain visibility platform. Owning forecasting, NLP extraction, deployment, monitoring, and automation.
Senior Data Scientist
Senior Data Scientist building production ML models for FourKites’ AI-driven supply chain visibility platform. Owning forecasting, NLP extraction, monitoring, and automation from pipeline to deployment.
Data Scientist II
Data Scientist building and deploying customer-intelligence models for CSI’s banking software platform. Supporting segmentation, behavioral prediction, monitoring, and client-facing insights.
Senior Data Scientist – AI, ML, FinTech
Data Scientist entwickelt produktive Machine-Learning-Modelle für Europace, Deutschlands Plattform für Ratenkredite. Verantwortung von der Modellidee bis zum Deployment und zur Optimierung.
Staff Data Scientist
Staff Data Scientist developing advanced machine-learning models for MindBridge Analytics’ enterprise datasets. Leading experimentation, production deployment, technical standards and mentorship.
Manager, Data Science – Credit & Fraud Risk Modeling
Data science manager building production credit and fraud risk models for Kafene's lease-to-own fintech platform. Shaping approvals, credit limits, default predictions, and loss forecasts.
Senior Data Scientist
Senior Data Scientist building statistical models for Paramount’s DTC streaming business. Optimizing pricing, forecasting growth, and informing content and marketing investment decisions.
Senior Data Science Engineer
Senior Data Science Engineer building LLM and classical ML risk-detection systems for LegitScript’s safer internet and payment platform. Owning data pipelines, production deployment, and model business impact.
Principal Data Scientist
Principal Data Scientist building data infrastructure, analytics, and AI models for G-P’s AI-powered HR compliance platform. Turning product data into decisions for global employment teams.
Senior Health Data Scientist
Senior Health Data Scientist developing advanced analytics from healthcare claims and clinical data. Supporting Inovalon’s data-driven solutions for healthcare customers and patients.
Lead Data Manager
Lead data manager overseeing clinical trial data from database startup through submission. Supporting UBC’s pharmaceutical development and real-world evidence services.
Lead Data Manager
Lead data manager overseeing clinical trial data from database start-up through lock and submission. Supporting pharmaceutical development and real-world evidence projects at UBC.
Data Scientist – AI, ML
Data Scientist designing Bayesian and statistical ML models for Software Mind’s e-commerce platform clients. Productionizing models within microservices and event-driven architectures.
Data Scientist
Data Scientist developing Python machine-learning models for Trident Systems’ DoD aerospace and space customers. Building telemetry analytics for anomaly detection, forecasting, and predictive maintenance.
Data Scientist
Data Scientist building Azure AI/ML data infrastructure for Molex’s electronics engineering platform. Structuring simulation data, validating models, and monitoring data health.
Lead Data Scientist
Lead Data Scientist developing policy-adherence metrics and valuation models for Humana’s healthcare and insurance operations. Transforming complex claims-related data into actionable compliance and network insights.
Senior Data Scientist – Machine Learning, AI
Senior Data Scientist developing production machine learning and AI solutions for Team Velocity’s automotive marketing technology. Improving customer engagement, marketing performance, and dealership revenue through predictive analytics.
Data Scientist Mid/Senior – Consulting
Cientista de Dados desenvolvendo modelos estatísticos e de Machine Learning para a WeCogno, consultoria de dados e IA. Gerando insights acionáveis e soluções para decisões de negócio.
Head of Data – AI
Head of Data + AI building reusable data and AI infrastructure for AugmentED. Translating education research into scalable tools that improve learning outcomes.
Program Manager, Data Governance and Stewardship
Data governance lead building frameworks for ReSource Pro’s insurance-industry clients. Improving data quality, privacy, lineage, and responsible analytics and AI use.