CSI Logo

CSI

Data Scientist III

Reposted 2 Hours Ago
Remote
Hiring Remotely in USA
Senior level
Remote
Hiring Remotely in USA
Senior level
Leads complex machine learning and advanced analytics initiatives for customer intelligence, segmentation, propensity scoring, behavioral prediction, and personalized engagement. Owns models through the full lifecycle, from problem framing and feature engineering to deployment, monitoring, retraining, and interpretation. Partners with product, engineering, MLOps, and data teams; defines evaluation metrics; mentors technical contributors; promotes responsible AI practices; and communicates results to technical leaders, clients, and business stakeholders.
The summary above was generated by AI

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 www.csiweb.com 

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 [email protected] and we will work with you to meet your accessibility needs.

For applicants residing in California, please read Privacy Notice for California Residents | CSI (csiweb.com)

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.

Similar Jobs

4 Days Ago
Remote
USA
100K-140K Annually
Senior level
100K-140K Annually
Senior level
Information Technology • Software • Analytics
Design, develop, and evaluate conversational AI agents and generative AI products. Collaborate with AI scientists, ML engineers, and Responsible AI/Model Validation teams to ensure state-of-the-art, ethical solutions and support deployment and integration of conversational systems.
Top Skills: A2AAdkSparkAWSAzureChain-Of-ThoughtConversational AiDatabricksDeep Research AgentsDockerETLGCPGenerative AiKubernetesLangchainLanggraphMachine LearningMcpMulti-Agent ArchitecturesNlpRag
20 Days Ago
Remote
USA
Senior level
Senior level
Professional Services
Design and implement data-centric cybersecurity solutions: develop ML algorithms and automation for security tools; discover, parse, map, and transform legacy RMF artifacts into OSCAL; migrate and analyze security data; reproduce dashboards/workflows in eGRC; collaborate with Professional Services; produce migration assessments and reports.
Top Skills: AgileAIAws GovcloudD3FendEgrcIaasMachine LearningExcelMicrosoft WordMitre Att&CkOscalRmfSaaSScriptingSdlcSharepointSIEMSoarSsp
26 Days Ago
In-Office or Remote
Utah, USA
Mid level
Mid level
Fintech
Design, build, and validate predictive models on large transaction datasets to support Sales and B2B Marketing. Lead experiment design and evaluation, produce stakeholder-facing analyses and reports, and deploy data science projects to production to drive business impact.
Top Skills: SparkGraph DatabasesHadoopHiveMap-ReduceNoSQLPythonRSQL

What you need to know about the Austin Tech Scene

Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.

Key Facts About Austin Tech

  • Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
  • Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
  • Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
  • Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account