Sr. Data Scientist (Hybrid)
Tasks
- Drive innovation in risk prioritization
- Enable observability of existing algorithms
- Establish best practices technical standards and evaluation frameworks
- Lead cross functional initiatives and align technical strategy with business goals
- Lead research strategy for risk and posture scores
- Productionize algorithms and models with software engineers
- Represent technical excellence through publications and speaking engagements
Perks/Benefits
- Comprehensive wellness programs
- Employee networks
- Great Place to Work certification
- Paid adoption leave
- Paid parental leave
- Professional development opportunities
- Volunteer opportunities
Skills/Tech-stack
Cloud Computing | Data Classification | Deep learning | Machine Learning | Model Deployment | Model Training | Python | Risk Modeling | Technical leadership
Education
Roles
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