数据科学家 III
Data Scientist III
职位描述：
Data Scientist III 是一位高级个人贡献者，负责领导复杂的机器学习和高级分析工作流，以支持客户洞察、行为预测、个性化参与以及可衡量的产品和客户成果。该角色负责更广泛的预测建模领域，从头到尾提供技术指导，并与产品、工程、MLOps 和数据团队紧密合作，交付可靠且可投入生产的解决方案。
- 领导客户细分、倾向评分、行为预测及相关客户洞察用例的生产级机器学习模型的设计、开发、验证和部署。
- 负责复杂工作流的完整模型生命周期，包括问题定义、数据探索、特征工程、训练、验证、部署准备、监控、重新训练和性能解释。
- 定义评估框架和成功指标，将模型性能与客户、产品和业务成果联系起来。
- 与产品和工程负责人合作，制定建模路线图，明确权衡取舍，并优先考虑高影响力的分析解决方案。
- 为数据科学家、分析师和相关技术合作伙伴提供指导、代码审查和技术支持。
- 建立并推广模型文档、可复现性、可解释性、公平性、治理和合规审查的最佳实践。
- 与 MLOps、工程和数据平台团队合作，确保可扩展、可靠且可维护的模型部署模式。
- 向技术及非技术利益相关者（包括管理层和客户）清晰地传达复杂的建模概念、分析结果和业务影响。
要求
- 计算机科学、统计学、数学、工程、数据科学或相关定量领域的学士或硕士学位，5–8年以上在应用机器学习、数据科学或高级分析方面的经验，并在生产环境中取得显著成果的证明。
- 需要精通 Python，包括 pandas、scikit-learn、XGBoost 或 LightGBM 等库，以及 SQL。需要有从头到尾开发和部署机器学习解决方案的经验，包括问题定义、验证、监控、生命周期管理和利益相关者采纳。
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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