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 - Research & Analytics

Staff Data Scientist - Research & Analytics

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

About Salesforce

We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place.

Slack is hiring a staff data scientist for our AI product team. We are a cross-functional team that is building an AI-powered Slack experience to unlock the collective knowledge of an organization and give new efficiency superpowers to teams. Imagine being able to tap into your company's wealth of knowledge with ease - finding, summarizing and sharing information faster than ever before!

You will use data to help the team discover opportunities and define appropriate solutions to user problems by performing research into user behavior, defining and applying experimentation standards, and understanding the drivers of performance. You will advise and influence decisions using data and research, by crafting our findings into narratives and partnering with key decision makers. You will be a strong partner to researchers with varying backgrounds, including user researchers, market researchers, and survey scientists.

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.

Responsibilities:

  • Applying data science methods to understanding the most important aspects of our AI product, users, and business.

  • Designing new datasets and metrics to be added to our data model.

  • Evangelizing evidence-based decision making by partnering with key decision makers and driving general accessibility of data and insights.

  • Identify and drive improvements to the execution of the full Research + Analytics team through standardization of process, authoring new standard methodologies, mentorship and cultivation of new expertise.

Requirements:

  • 8+ years of professional industry experience doing quantitative analysis.

  • A related technical degree required

  • A consistent record of using data to drive product teams to achieve ambitious goals and influencing company-level outcomes.

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

  • Experience in schema design, data modeling, and building data pipelines.

  • Experience with a broad set of statistical and machine learning methods to build descriptive and predictive models.

  • Experience with designing and testing experiments.

  • Experience with data technologies that allow effective storage and analysis of large amounts of data (e.g. Spark, Presto, Hive, Hadoop, etc).

Preferred Skills:

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

  • Experience with online data systems (e.g. relational databases, logging ingestion)

Benefits & Perks:

Check out our benefits site which explains our various benefits, including wellbeing reimbursement, generous parental leave, adoption assistance, fertility benefits, and more!

*IN SCHOOL OR GRADUATED WITHIN THE LAST 12 MONTHS? PLEASE VISIT FUTURE FORCE FOR OPPORTUNITIES*

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 www.equality.com and explore our company benefits at www.salesforcebenefits.com.

Salesforce is an Equal Employment Opportunity and Affirmative Action Employer. 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 does not accept unsolicited headhunter and agency resumes. Salesforce will not pay any third-party agency or company that does not have a signed agreement with Salesforce.

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.

For New York-based roles, the base salary hiring range for this position is $188,200 to $258,700.

For California-based roles, the base salary hiring range for this position is $188,200 to $258,700.

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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