Slack

San Francisco
1,001-5,000 employees
Slack is a workplace collaboration platform that allows employees to communicate with their team members, share documents and conduct meetings.

Staff Data Scientist

Staff Data Scientist

This job is no longer open

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

Slack is looking for an experienced data scientist to join our Business Analytics 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 Analytics 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 Business Intelligence, 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?

What you will be doing

  • Partner with Slack Distribution 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 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 Business Intelligence teams to build core data models that power operational and exploratory data analyses

What you should have

  • 4+ years of professional industry experience doing quantitative analysis

  • A degree in Economics, Physics, Statistics, Math, or other quantitative field (advanced degrees are a plus)

  • Proficient in SQL and at least one programming language for data analysis (e.g. Python, R)

  • Experience with statistical and machine learning methods to build descriptive and predictive models

Accommodations

If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form.

Posting Statement

At Salesforce we believe that the business of business is to improve the state of our world. Each of us has a responsibility to drive Equality in our communities and workplaces. We are committed to creating a workforce that reflects society through inclusive programs and initiatives such as equal pay, employee resource groups, inclusive benefits, and more. Learn more about Equality at Salesforce and explore our benefits.

Salesforce.com and Salesforce.org are Equal Employment Opportunity and Affirmative Action Employers. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Salesforce.com and Salesforce.org do not accept unsolicited headhunter and agency resumes. Salesforce.com and Salesforce.org will not pay any third-party agency or company that does not have a signed agreement with Salesforce.com or Salesforce.org.

Salesforce welcomes all.

More details about our company benefits can be found at the following link: https://www.getsalesforcebenefits.com/

For Colorado-based roles, the base salary hiring range for this position is $156,800 to $215,600.

Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, benefits. More details about our company benefits can be found at the following link: https://www.salesforcebenefits.com.
This job is no longer open
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