Staff Data ScientistSalesforce • San Francisco, CA, United States
Staff Data Scientist
Salesforce • San Francisco, CA, United States
[job_card.variable_days_ago]
[job_preview.job_type]
- [job_card.full_time]
[job_card.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 CategoryDataJob 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 isnt a buzzword its 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.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.## What you will be doing 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 Slacks 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## What you should have 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 PotentialWhen you join Salesforce, youll 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, well 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 whats possible for yourself, for AI, and the world.AccommodationsIf you require assistance due to a disability applying for open positions please submit a request via this .Posting StatementAny 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.### ### ### ###
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