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
- Senior Data Scientist at The Zebra tackling data science opportunities and collaborating cross-functionally to improve insurance personalization.
Responsibilities
- Build machine learning models to personalize our product and connect users with the policies that best fit their needs
- Work closely with cross-functional stakeholders to understand business needs and develop ML based solutions
- Analyze product data, design experiments, and drive the collection and integration of new data sources
- Write clean, maintainable production code to operationalize models using best practices from software engineering
- Perform peer code reviews, mentor other data scientists, and drive continuous improvement in our platform and practices
Requirements
- 3-10 years' experience in a technical data role with 3+ years of hands-on experience building machine learning / statistical models
- Proven mathematical foundation and knowledge of a variety of ML and statistical methods (e.g. regression, classification, clustering, experimental design)
- Solid foundation in software engineering with a strong proficiency in both core Python and the Python data ecosystem (sklearn, pandas/polars, etc)
- Basic familiarly with engineering topics like CI/CD, unit testing, orchestration, cloud ecosystems is required
- Experience mentoring junior data scientists is a plus
Benefits
- Competitive Compensation & Stock Option Offering
- Health, Dental, Vision & Disability Coverages
- HSA offering + employer contribution
- 401k plan + employer match
- Unlimited PTO (paid time off)+ the flexibility to enjoy it
- Paid Parental Leave Program
- Wellness perk ($100/month)
- Pet Adoption Reimbursement ($300/year)
- Learning & Development Opportunities
- Join a team that truly lives their values (outside of the office. Cliche, we know… but we really mean it)
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
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