Principal Data Scientist
Skills
- Expertise in machine learning and deep learning methods
- Proficient in Python ML libraries such as PyTorch, TensorFlow, pandas, scikit-learn
- Strong background in math, statistics, systems design, and coding
- Experience with data extraction, processing, and large scale data handling
- Familiarity with software engineering principles and version control (git)
Responsibilities
- Design and implement modeling solutions to improve user experience and business outcomes
- Conduct experiments and rapid prototype new ideas using large datasets
- Develop stable, maintainable, scalable production-ready implementations
- Collaborate with researchers, product managers, and engineers to drive impact
- Communicate results clearly and concisely
- Engage in group problem-solving and team collaborations
Education
- PhD or equivalent advanced degree in computer science, statistics, mathematics, engineering, or related quantitative field preferred but not strictly required
Benefits
- Hybrid work with up to 20 days remote work per year
- Company-paid mental health therapy sessions and HeadSpace subscription
- Company-wide week off annually
- No meeting Fridays
- Paid parental leave
- Generous paid vacation and birthday time off
- Paid volunteer time
- Development dollars and leadership development programs
- Access to thousands of on-demand e-learnings
- Travel discounts
- Employee Resource Groups
- Competitive retirement and health plans
- Free lunch twice a week
- Quarterly social and recreational events
Average salary estimate
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