Salesforce Staff Data Scientist 

United States, Georgia, Atlanta 

462765797

Job Category

Job Details

As a Staff Product Data Scientist, you will work closely with cross-functional partners to proactively define the product landscape, derive insights from data, communicate key findings to product executives, and directly contribute to product strategy building and implementation. You’ll partner with Product, Design, and Engineering (PDE) to contribute directly to product development—shaping what we build, how we measure success, and when/how we iterate and improve.

• 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.

• 5+ years of experience in data science or quantitative analysis, preferably in technology product development or enterprise software.

• A related technical degree required.

• 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.

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