Staff Product Data Scientist

🕒 April 17

🏢🏡 San Francisco – Hybrid

💵 $197.3k - $313.7k / year

⏰ Full Time

🔴 Lead

📊 Data Scientist

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Salesforce

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1999

☁️ SaaS

🤝 B2B

🤖 Artificial Intelligence

SaaS • B2B • Artificial Intelligence

Salesforce is a leading cloud-based software company that provides a comprehensive customer relationship management (CRM) platform. The platform connects all company data and teams on an integrated, AI-driven system to improve sales, customer service, and marketing efforts. Salesforce offers scalable solutions for businesses of all sizes, including small and medium enterprises, and provides industry-specific solutions to modernize operations, save time, and reduce costs. Salesforce also offers educational resources through Trailhead and a wide selection of apps on AppExchange to extend its CRM capabilities.

📋 Description

• Apply advanced data science techniques to analyze Slack product usage patterns, identifying what’s working, what’s not, and opportunities for improvement • Conduct evidence-based evaluations to determine key drivers of Slack’s product growth • Define and report key success metrics, effectively communicating insights to Slack and Salesforce leadership to enable executive level decision making and follow-ups • Synthesize insights across different product areas and business outcomes, identifying correlations and causal relationships that drive success • Serve as a domain expert in product data science, guiding best practices and advancing data science methodologies and operations • Champion evidence-based decision-making, making data and insights accessible and scalable for stakeholders at all levels

🎯 Requirements

• 5+ years of experience in data science or quantitative analysis, preferably in technology product development or enterprise software • Advanced degree (MS, PhD) in a quantitative field (e.g., Mathematics, Economics, Statistics, Physics, Quantitative Psychology, Engineering, etc.) is a strong plus • Expertise in at least one programming language for data science (e.g., Python, R) • Experience working with large-scale data technologies (e.g., Spark, Presto, Hive, Hadoop) • Expertise in Apache Airflow is a strong plus • Strong communication skills • Able to translate complex technical results into clear, actionable insights • Cross-functional collaboration and influencing skills, with a track record of impacting decisions at both strategic and executional levels • Experience designing and implementing advanced data models with scalability and efficiency • Experienced in applying advanced quant measurement techniques in a product development environment

🏖️ Benefits

• time off programs • medical, dental, vision • mental health support • paid parental leave • life and disability insurance • 401(k) • employee stock purchasing program