Staff Business Data Scientist - Slack

Slack; Atlanta (GA); Vor Ort; USD 150.000 - 230.000; Vollzeit

Zusammenfassung

Slack is seeking a Staff Data Scientist to join the Business Data Science team. You will leverage data to drive growth and inform strategic decisions across the Slack Business Unit, working with Data Engineering, Go-To-Market, PDE, and other partners.

The ideal candidate has 5+ years of quantitative analysis experience, a BS in a quantitative field, strong SQL and programming skills (Python/R/Scala), and a proven ability to communicate insights to executives.

Qualifikationen

• 5+ years of professional experience doing quantitative analysis.
• BS in Computer Science, Economics, Physics, or related quantitative field; MS/PhD is a strong plus.
• Proficiency in SQL and at least one data science language (Python, R, or Scala).
• Strong foundation in statistics, experimentation, causal inference, ML, and analytical problem-solving.
• Proven ability to communicate complex analytical findings to influence stakeholders and strategic decision making.

Aufgaben

• Partner with Slack Growth teams to understand the drivers of our business and accelerate growth.
• Synthesize insights into crisp narratives and present to senior leadership.
• Develop frameworks for identifying patterns/trends in customer behavior.
• Empower others to be self-sufficient in data by building self-service tools and reports to drive awareness and understanding of key metrics.
• Work with our Data Engineering teams to build core data models that power operational and exploratory data analyses.

Kenntnisse

Effective communication

Analytical thinking

Growth mindset

Collaboration

Ausbildung

BS in quantitative field

MS/PhD a strong plus

Tools

SQL

Python

R

Scala

Jobbeschreibung

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.

Job Category

Data

Job Details

About Salesforce

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Job Description

Slack is looking for a Staff Data Scientist to join our Business Data Science team. In this role, you will be responsible for leveraging data to help drive the growth and success of the Slack Business Unit. The ideal candidate is an effective communicator, has strong analytical thinking, can operate independently with minimal guidance, has a growth mindset, collaborates effectively with others, and biases towards action and impact.

The Business Data Science team is focused on helping executives and other key decision makers across the company make better business decisions using data. We partner closely with Data Engineering, Business Strategy & Operations, Go-To-Market, and Product, Design, and Engineering (PDE) teams to identify growth opportunities, forecast performance, and deliver impactful analyses and models.

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, why not say hello?

What you will be doing:

• Partner with Slack Growth teams to understand the drivers of our business and accelerate growth
• Synthesize insights into crisp narratives and present to senior leadership
• Develop frameworks for identifying patterns/trends in customer behavior
• Empower others to be self-sufficient in data by building self-service tools and reports to drive awareness and understanding of key metrics
• Work with our Data Engineering teams to build core data models that power operational and exploratory data analyses

What you should have:

• 5+ years of professional industry experience doing quantitative analysis
• A related technical degree required. A BS degree in a quantitative field (e.g., Computer Science, Economics, Physics); an advanced degree (MS, PhD) is a strong plus.
• Advanced proficiency in SQL and at least one programming language for data science, such as Python, R, or Scala.
• Strong foundation in statistics, experimentation, causal inference, ML, and analytical problem-solving.
• Proven ability to communicate complex analytical findings to influence stakeholders and strategic decision making.

Preferred Experience:

• Designing, running, and analyzing growth focused experiments
• Applying analytics to uncover potential growth opportunities
• Successful collaboration with Marketing, Growth, Go-To-Market, and/or Lifecycle teams
• Experience using AI / agentic tools for analysis, and building reusable analytical tools

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 $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.