Data Scientist II, SMB Sales

About the position

As a Data Scientist on the Sales Analytics team at Pinterest, you will serve as a go-to expert on data and analytics within the SMB Sales team and with key cross-functional partners. Your role will involve driving efficiency and revenue growth by enabling data-driven decisions for deep and complex problems, developing accurate reporting and forecasting models, and building scalable data infrastructure. You will be challenged to take on work that upholds Pinterest's mission of helping people find their inspiration and create a life they love, while also growing as a person and leader in your field.

Responsibilities

• Serve as an analytics expert for your partners, using data to help them make better decisions
• Work directly with sales leaders and XFN partners on critical strategic and analytical projects designed to increase revenue, sales productivity, and/or operational efficiency
• Own the end-to-end process of gathering and synthesizing data using relevant tools (e.g. SQL, Python), testing hypotheses, and developing final recommendations
• Translate analysis results into actionable insights or improvement opportunities to influence decisions made by sales leadership and the broader organization
• Work with large, complex data sets to solve complex problems, applying advanced analytical methods as needed
• Develop and automate reporting and forecasting models, iteratively build and prototype dashboards as needed to provide insights at scale
• Build and maintain business critical data pipelines and workflows, develop comprehensive knowledge of internal data structures and metrics, advise on changes where needed

Requirements

• 3+ years of professional experience analyzing data in a fast-paced, data-driven environment
• Extensive experience solving analytical problems using quantitative approaches including in the fields of Statistical Modelling, Forecasting, Econometrics or other related fields
• Expert-level knowledge of SQL with strong data exploration and manipulation skills
• Experience with one or more programming languages such as Python or R
• Experience with Tableau or similar data visualization tools
• Excellent communication skills and ability to explain learnings to both technical and non-technical partners
• A scientifically rigorous approach to analysis and data, and a well-tuned sense of skepticism, attention to detail and commitment to high-quality, results-oriented output
• Bachelor's degree in a relevant field such as Statistics or equivalent experience.

Benefits

• Base salary range of $162,800-$284,900 USD
• Eligible for equity
• Flexible work model (PinFlex) allowing for remote work with in-office collaboration once a month/quarter
• Commitment to diversity and inclusion in the workplace