Job description

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 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. 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. 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 . Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options. 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: 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.

Requirements

Must-haves

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
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
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.

Nice-to-haves

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

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aigosqlpythonml

Platform: workday
Effort: long

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Parental Leave