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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.
Slack is looking for a 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 a strong communicator, 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 decisions using data. We work closely with Data Engineering and Product Analysts, other Data Scientists at Slack and our partners in Product, Engineering, and the Slack Distribution teams to identify growth opportunities, craft narratives that deepen our understanding of the business, forecast future performance, and build predictive models to effect positive business outcomes.
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?
Partner with Slack Growth teams to understand the drivers of our business and accelerate growth
Develop both short-term and long-term forecasting models for Slack’s self-serve business
Conduct deep-dive analysis, synthesizing insights into crisp narratives for senior leadership
Develop frameworks for identifying patterns/trends in customer behavior and implement them in predictive scoring models
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 and Product Analysts to build core data models that power operational metrics and exploratory data analyses
6+ years of professional industry experience doing quantitative analysis
Proficient in SQL and at least one programming language for data analysis (e.g. Python, R)
Experience with time series forecasting, as well as statistical and machine learning methods to build descriptive and predictive models
A related technical degree required
Preferred Experience
Partnering with Finance or business team for revenue forecasting
Deep understanding of premium and/or self-serve business model
Applying analytics to uncover potential growth opportunities
Crafting narratives for executive audience
Advanced degree in Economics, Physics, Statistics, Math, or other quantitative field (PhDs are a 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. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.
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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.
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.For New York-based roles, the base salary hiring range for this position is $200,800 to $276,100.For Washington-based roles, the base salary hiring range for this position is $167,300 to $230,000.For California-based roles, the base salary hiring range for this position is $200,800 to $276,100.