Staff Data Scientist, Product, Sales Intelligence

About the Role

Key Responsibilities

• Perform analysis utilizing related tools (e.g., SQL, R, Python). Provide investigative thought leadership through contributions (e.g., suggests new analysis, infrastructure or experiments to drive improvements in the business).
• Own outcomes for projects by covering problem definition, metrics development, data extraction and manipulation, visualization, creation, and implementation of investigative/statistical models, and presentation to stakeholders.
• Develop solutions, lead, and manage problems that may be lacking precedent by framing problems, generating hypotheses, and making recommendations from a perspective that combines both investigative and product-specific expertise.
• Oversee the integration of cross-functional and cross-organizational project/process timelines, develop process improvements and recommendations, and help define operational goals and objectives.
• Oversee the contributions of others and develop colleagues' capabilities in the area of specialization.

Requirements

• Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field, or equivalent practical experience.
• 10 years of experience with analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) or 8 years work experience with a Master's degree.
• Strong analytical skills and experience with statistical analysis and coding in Python, R, or SQL.
• Ability to communicate findings effectively to stakeholders and team members.
• Experience in developing and managing metrics or evaluating programs/products is preferred.

Nice to Have

• Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
• 12 years of experience with analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL).
• 5 years of experience in developing and managing metrics or evaluating programs/products.
• Experience working with Engineers, Product Managers, and User Experience (UX) teams providing product insights.
• Experience in running experimental decision-making processes quantitatively (e.g., inference, statistics) and organizationally (e.g., discipline, alignment, stakeholder management).

Qualifications

• Educational background in a quantitative field such as Statistics, Mathematics, Data Science, Engineering, Physics, or Economics.

Benefits & Perks

• US base salary range for this full-time position is $183,000-$271,000 plus bonus, equity, and benefits.
• Salary ranges are determined by role, level, and location, with individual pay influenced by work location, skills, experience, and education.
• Additional benefits are available, details of which can be shared during the hiring process.