Data Scientist, Content Promotion & Discovery Performance
Job Description:
• Leverage causal inference methods or statistically sound analyses to drive actionable insights
• Build metrics and measurement frameworks that are statistically and causally robust
• Establish strong partnerships with team members and diverse stakeholders across the business
• Facilitate ownership and accountability by ensuring that the team is producing trustworthy and high-quality outputs
• Proactively explore trends in content discovery to surface future opportunities
• Work independently and drive your own projects
Requirements:
• An advanced degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field
• 5+ years of relevant experience in one or more data science roles
• Exceptional communication with technical and non-technical audiences
• Expertise in statistical analysis methods, most notably causal inference, statistical learning and experimentation methods
• Strong quantitative programming skills in a language such as Python and data manipulation in SQL
• Comfort with ambiguity; ability to thrive with minimal oversight and process
Benefits:
• Health Plans
• Mental Health support
• 401(k) Retirement Plan with employer match
• Stock Option Program
• Disability Programs
• Health Savings and Flexible Spending Accounts
• Family-forming benefits
• Life and Serious Injury Benefits
• Paid leave of absence programs
• Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off
• Flexible time off for full-time salaried employees
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• Leverage causal inference methods or statistically sound analyses to drive actionable insights
• Build metrics and measurement frameworks that are statistically and causally robust
• Establish strong partnerships with team members and diverse stakeholders across the business
• Facilitate ownership and accountability by ensuring that the team is producing trustworthy and high-quality outputs
• Proactively explore trends in content discovery to surface future opportunities
• Work independently and drive your own projects
Requirements:
• An advanced degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field
• 5+ years of relevant experience in one or more data science roles
• Exceptional communication with technical and non-technical audiences
• Expertise in statistical analysis methods, most notably causal inference, statistical learning and experimentation methods
• Strong quantitative programming skills in a language such as Python and data manipulation in SQL
• Comfort with ambiguity; ability to thrive with minimal oversight and process
Benefits:
• Health Plans
• Mental Health support
• 401(k) Retirement Plan with employer match
• Stock Option Program
• Disability Programs
• Health Savings and Flexible Spending Accounts
• Family-forming benefits
• Life and Serious Injury Benefits
• Paid leave of absence programs
• Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off
• Flexible time off for full-time salaried employees
Apply tot his job
Apply To this Job