Riskified is hiring a Data Scientist to join their team, working on developing algorithms and analytical production-grade solutions to provide maximum value from data. The role involves data exploration, statistical analysis, machine learning, feature engineering, and data visualization.
Requirements
- B.Sc (M.Sc is a plus) in Computer Science, Mathematics, Statistics, or a related field
- 3+ years of proven experience designing and implementing machine learning algorithms and successfully deploying them to production.
- Strong understanding and practical experience with various machine learning algorithms.
- Proficiency in Python, Experience with SQL and data manipulation tools (e.g., Pandas, NumPy) to extract, clean, and transform data for analysis
- Solid foundation in statistical concepts and techniques, including hypothesis testing, regression analysis, time series analysis, and experimental design
- Strong analytical and critical thinking skills to approach business problems, formulate hypotheses, and translate them into actionable solutions
- Proficiency in data visualization libraries, to create meaningful visual representations of complex data
- Excellent written and verbal communication skills to present complex findings and technical concepts to both technical and non-technical stakeholders
- Demonstrated ability to work effectively in cross-functional teams, collaborate with colleagues, and contribute to a positive work environment
Benefits
- Hybrid mode of work
- Flexible schedule
- Recharge weekends
- Healthcare & dental benefits
- Fully-stocked kitchens
- Commuter benefits
- Benefits package per month
- Wellness program
- Celebrations and activities
- Team events
- Happy hours
- Awesome Riskified gifts and swags
- Volunteer programs
- Personal development
- Global onboarding
- Role-based technical skills training
- Full access to Udemy
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