Data Scientist at Capital One leveraging technology to improve fraud prevention and customer safety. Collaborating with cross - functional teams to deliver industry - leading fraud defenses.
About the role
- Lead Data Scientist at Vizient developing automated analytics and advanced data science solutions. Collaborating with teams to improve clinical, operational, and economic outcomes.
Responsibilities
- Develop automated analytics products and conduct sophisticated data analysis
- Design, implement, and deploy advanced data science solutions across multiple domains
- Guide data scientists and lead the design of predictive and machine learning approaches
- Ensure high-quality, scalable analytic solutions that support organizational objectives
- Analyze large-scale, high-dimensional datasets using Python, R, SQL, and distributed computing platforms
- Apply expertise across end-to-end data science workflows
- Translate complex analytical outputs into clear dashboards, reports, and presentations
- Make key analytic and architectural design decisions
- Lead code development and reviews
- Partner with engineering teams for production deployment of models
- Implement responsible AI and model governance practices
- Collaborate with cross-functional teams to integrate advanced analytics and AI solutions.
Requirements
- Relevant degree preferred
- 7 or more years of relevant experience required
- Proven ability to apply advanced modeling, forecasting, anomaly detection, and natural language processing
- Demonstrated advanced knowledge of data science methodologies, statistical modeling, machine learning, and generative AI techniques
- Strong understanding of Natural Language Processing (NLP) techniques
- Expertise in programming languages such as Python, R, SAS, SQL, or similar tools
- Knowledge of responsible AI principles
- Experience deploying, monitoring, and maintaining machine learning and generative AI models in production environments
- Experience implementing model governance practices
- Experience working with cloud-based and distributed data platforms and modern analytics frameworks such as Databricks
- Strong analytical, problem-solving, communication, and presentation skills
- Experience guiding or mentoring data scientists.
Benefits
- Incentive eligible
- Comprehensive benefits plan
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