Staff Product Data Scientist - Slack

Staff Product Data Scientist

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword — it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.

Ready to level-up your career at the company leading workforce transformation in the agentic era? Agentforce is the future of AI, and you are the future of Salesforce.

We are looking for a seasoned Data Science Expert to help build a world-class data science analytics platform that supports and scales data-driven product decision-making. 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.

At Slack, we foster a positive, diverse, and supportive culture. We look for people who are curious, bold, and eager to improve every day. Our team values being smart, humble, hardworking, and above all, collaborative.

What You Will Be Doing

• 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.

What You Should Have

• 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

Unleash Your Potential

When you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what's possible — for yourself, for AI, and the world.

Accommodations

If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form .

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Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions.

The typical base salary range for this position is $172,500 - $260,100 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $207,800 - $285,800 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.