Staff Product Data Scientist

Data
- California - San Francisco
- Washington - Seattle
- Illinois - Chicago
- New York - New York
- Colorado - Denver
Full time
Posted 16 June 2025
JR289258
California Salary $200,800 - $276,100
Colorado Salary $167,300 - $230,000
Illinois Salary $184,000 - $253,000
New York Salary $200,800 - $276,100
Washington Salary $184,000 - $253,000

Description

Applications will be accepted up to 07/11/2025.

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

As a Senior 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.
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.

For roles in San Francisco and Los Angeles: Pursuant 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.

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Equal Opportunity Statement.

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Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. 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.

Salesforce welcomes all.

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. More details about our company benefits can be found at the following link: https://www.salesforcebenefits.com.