Data Scientist 5 – Advancing Member Measurement
Job Description:
• Drive product innovation through robust measurement strategies across experimentation, modeling, and analytics to shape how our members experience a variety of content types
• Establish strong partnerships with stakeholders to ladder local developments into a holistic measurement approach
• Contribute new methodologies to our causal inference tooling
• Develop experimentation and measurement frameworks to increase the velocity of investments and aid complex decision-making
Requirements:
• Advanced degree in Statistics, Mathematics, Computer Science, Economics or related quantitative field
• 5+ years of relevant experience focused on building and delivering real-world machine learning models with demonstrated impact
• Strong statistical knowledge and intuition - ideally utilized in experimentation or other product analytics settings
• Strong Quantitative Programming skills in a language such as Python
• Exceptional oral and written communication skills
• Passion for driving product vision and innovation strategy by leveraging a broad set of techniques and building strong partnership with stakeholders
• Strong product sense to balance between addressing stakeholder or test-specific needs and investing in scalable solutions to serve general use cases
• Ability to work independently and drive your own projects
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
• Flexible time off for salaried employees
• 35 days annually for paid time off for hourly employees
• Drive product innovation through robust measurement strategies across experimentation, modeling, and analytics to shape how our members experience a variety of content types
• Establish strong partnerships with stakeholders to ladder local developments into a holistic measurement approach
• Contribute new methodologies to our causal inference tooling
• Develop experimentation and measurement frameworks to increase the velocity of investments and aid complex decision-making
Requirements:
• Advanced degree in Statistics, Mathematics, Computer Science, Economics or related quantitative field
• 5+ years of relevant experience focused on building and delivering real-world machine learning models with demonstrated impact
• Strong statistical knowledge and intuition - ideally utilized in experimentation or other product analytics settings
• Strong Quantitative Programming skills in a language such as Python
• Exceptional oral and written communication skills
• Passion for driving product vision and innovation strategy by leveraging a broad set of techniques and building strong partnership with stakeholders
• Strong product sense to balance between addressing stakeholder or test-specific needs and investing in scalable solutions to serve general use cases
• Ability to work independently and drive your own projects
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
• Flexible time off for salaried employees
• 35 days annually for paid time off for hourly employees