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About the Role
Salesforce is seeking Staff & Principal Product Data Scientists to build a world-class data ecosystem that supports data-driven product decision-making. You will work closely with cross-functional partners to define the product landscape, derive actionable insights, and shape product strategy. You will also play a pivotal role in designing and developing Slack’s agentic data delivery platform, helping achieve true data self-serve capabilities within an AI and agentic context.
Responsibilities
- Establish strong partnerships with product stakeholders to identify opportunities, prioritize roadmaps, and implement execution excellence.
- Evangelize evidence-based decision-making by partnering with key leaders and driving the general accessibility of data and insights.
- Perform evidence-based evaluations of the most important drivers for increased adoption of Slack product capabilities.
- Build key success metric frameworks and self-serve reporting to monitor Slack product health.
- Prototype foundational data models and partner with Data Engineering functions to elevate these into canonical sources of truth.
- Contribute to the design and implementation of Slack's agentic data delivery platform.
- Quantitatively identify potential product opportunities to improve user experiences and unlock business value.
- Partner closely with Product Researchers to align roadmaps and collaborate on projects to answer complex questions.
Requirements
- 5+ years of experience in product data science in related tech industries.
- A consistent record of using data to drive product teams to achieve ambitious goals and influence company-level outcomes.
- Advanced proficiency in SQL and at least one programming language for data science, such as Python, R, or Scala.
- Knowledge of workflow orchestration tools like Apache Airflow is highly desirable.
- Strong foundation in statistics, experimentation, causal inference, ML, and analytical problem-solving.
- Experience working with large-scale data technologies such as Spark, Presto, Hive, Hadoop, or similar distributed data platforms.
- Proven ability to communicate complex analytical findings clearly to executive and cross-functional audiences.
Skills
- SQL
- Python
- R
- Scala
- Apache Airflow
- Statistics
- Experimentation
- Causal Inference
- Machine Learning
- Analytical Problem-Solving
- Spark
- Presto
- Hive
- Hadoop
Location
- Select cities within the San Francisco and New York City metropolitan area
Work Type
- Full-time
Experience Level
- Staff & Principal
Education Level
- BS degree in a quantitative field (e.g., Computer Science, Economics, Physics)
- Advanced degree (MS, PhD) is a strong plus
Salary/Compensations
- $172,500 - $313,700 annually
- $207,800 - $344,700 annually in select cities within the San Francisco and New York City metropolitan area
Benefits
- Time off programs
- Medical
- Dental
- Vision
- Mental health support
- Paid parental leave
- Life and disability insurance
- 401(k)
- Employee stock purchasing program
About the Company
- Salesforce is the #1 AI CRM, where humans with agents drive customer success together.
- 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.
- 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.
Equal Opportunity
- Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment.
- Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit.
- 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.