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, Metrics Intelligence - Slack

Staff Data Scientist, Metrics Intelligence - Slack

This job is no longer open

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Job Category

Products and Technology

Job Details

Our Research & Analytics team is hiring a Staff Data Scientist to join our Metrics Intelligence working group! The Metrics Intelligence working group is focused on increasing the actionable insights gained from understanding and tracking key metrics.

In this role, you will implement scalable approaches to analyzing, tracking, alerting, and reporting on a broad set of strategically important product and business metrics. You will work with data scientists and business analysts (from various business groups) to understand, synthesize, and communicate evolving trends in product usage. You will work with senior leaders throughout the company to inform and influence decisions based on your understanding of metrics trends.

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

  • Conducting regular investigations into trends in broad Slack usage

  • Synthesizing and communicating key insights from regular investigations to a broad audience of stakeholders, including executive leadership

  • Implementing scalable methods for tracking and generating insights from a large and evolving portfolio of product-based KPIs

  • Applying various data science methods to understanding core aspects of our product, users, and business

  • Promoting effective usage of metrics in the internal operations of Slack’s product team

What you should have

  • 5+ years of professional industry experience doing quantitative analysis

  • An advanced degree (MS, PhD) in a quantitative field (e.g. Computer Science, Economics, Physics) is a plus

  • A proven record of informing strategic business decisions, ideally in a product organization

  • Experience analyzing, modeling, and forecasting trends in business metrics or other time series data

  • Experience communicating findings from data analysis to an executive audience

  • Experience with SQL and at least one general programming language (e.g. Python)

  • An advanced understanding of statistics and analytical best practices

For Colorado-based roles: Minimum annual salary of $150,200. You may also be entitled to receive bonus, restricted stock units, and benefits. More details about our company benefits can be found at the following link: https://www.getsalesforcebenefits.com/ 

Accommodations

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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.

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.
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