Data Science Principal

Slack; Seattle (WA); On-site; USD 197,000 - 314,000; Full time

Job summary

Slack is seeking a Principal Data Scientist to lead data efforts for Platform Monetization. You will partner with product and GTM teams to uncover insights, influence monetization strategy, and shape the data foundation for next-generation Platform capabilities.

The role requires strong leadership, deep statistical expertise, and the ability to translate complex analyses into actionable business decisions for executives and cross-functional partners.

Qualifications

• 7+ years of experience in product data science in related tech industries; 2+ years experience in a product DS tech lead or managerial role is a strong plus
• A consistent record of using data to drive product teams to achieve ambitious goals and influence outcomes
• Advanced proficiency in SQL and at least one programming language for data science (Python, R, or Scala); knowledge of Airflow is desirable
• Strong foundation in statistics, experimentation, causal inference, predictive modeling, and analytical problem solving
• Experience with large-scale data technologies such as Spark, Presto, Hive, Hadoop, or similar distributed platforms
• Proven ability to communicate complex analytical findings clearly to executives and cross-functional audiences
• Experience partnering with Product, Sales, Finance, or other GTM organizations to influence strategic decisions

Responsibilities

• Establish strong partnerships with product and business stakeholders to identify opportunities, prioritize roadmaps, define execution excellence, and coach team members
• Apply statistical methods, experimentation, segmentation frameworks, and forecasting to understand customer behavior, GTM performance, and drivers of growth
• Design measurement strategies and success metrics to evaluate products, programs, and strategic initiatives
• Frame and deliver deep-dive analyses to identify opportunities for revenue and product growth, customer adoption, and smooth user journeys
• Partner with Data Engineering to develop trusted datasets and scalable analytical foundations for advanced modeling and experimentation
• Set a compelling vision and prioritize work based on product strategies and overall business goals
• Partner closely with product researchers and business strategy to align roadmaps and collaborate on projects to influence topline decisions

Skills

SQL

Python/R/Scala

Statistics

Experimentation

Causal inference

Executive communication

Education

BS in a quantitative field

MS/PhD preferred

Tools

Apache Airflow

Spark

Presto

Hive

Hadoop

Job description

Job Category

Job Category

Data

About Salesforce

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? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

Title: Principal Data Scientist, Platform Monetization

We are hiring a Principal Data Scientist to lead the data efforts to form Slack monetization strategy and execution from the agentic platform point of view. The Platform ecosystem is a critical component of Slack's strategy to become the place where work happens. It enables users to truly customize Slack and integrate their everyday tools to streamline and speed up work. At the same time, this domain connects with corporate sales and business and strategic customer strategy and directly impacts the company's topline performance.

In this leadership role, you will work closely with the Platform product organization to understand and improve the product experience of app developers and users. As Slack builds out its next generation of Platform capabilities, you'll lead the efforts on unearthing insights and building a complete picture of what users build and how they engage with agents and with each other on the Slack platform. At the same time, you will partner closely with go-to-market (GTM) teams to answer Slack's highest-impact business questions.

Slack has a positive, diverse, and supportive culture—we look for people who are curious, inventive, and work to be a little better every single day. In our work together we aim to be smart, humble, hardworking and, above all, collaborative. If this sounds like a good fit for you, we'd love to hear from you.

What you’ll be doing:

• Establish strong partnership with product and business stakeholders in identifying opportunities, prioritize roadmaps, define and implement execution excellence, and coach and mentor team members for execution excellence
• Apply statistical methods, experimentation, segmentation frameworks, and forecasting methodologies to understand customer behavior, GTM performance, and drivers of growth
• Design measurement strategies and success metrics to evaluate products, programs, and strategic initiatives
• Frame and deliver deep-dive analyses to identify opportunities for revenue & product growth, customer adoption, and smooth user journeys
• Partner with Data Engineering to develop trusted datasets and scalable analytical foundations that enable advanced modeling and experimentation
• Set a compelling vision and prioritize work based on product strategies and overall business goals
• Partner closely with product researchers and business strategy partners, align roadmaps and collaborate on projects to influence topline decision making

What you should have:

• 7+ years of experience in product data science in related tech industries; 2+ years experience in a product DS tech lead or managerial role a strong plus
• A consistent record of using data to drive product teams to achieve ambitious goals and influencing 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, predictive modeling, 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
• Experience partnering with Product, Sales, Finance, or other GTM organizations to influence strategic decisions

Even better if you have:

• BS degree in a quantitative field (e.g. Computer Science, Economics, Physics); an advanced degree (MS, PhD) in a quantitative field (e.g. Computer Science, Economics, Physics, Maths) is a strong plus

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.

Accommodations

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

Posting Statement

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.

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: https://www.salesforcebenefits.com.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.

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 $197,300 - $313,700 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $237,000 - $344,700 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.