Staff Data Scientist - Slack

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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 an experienced data scientist for our Expansion product team! The Expansion team is a cross-functional team that builds foundational product experiences to help teams become successful on Slack.

Our team focuses on the critical moments within the team’s lifecycle : creating and joining workspaces, in-product education, expanding the number of users on Slack, and purchasing & billing.

In this role, you will inform and influence decisions using data and research, by crafting our learnings into narratives and partnering with key decision makers within the company.

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. If this sounds like a good fit for you, why not say hello?

Responsibilities

• Applying various data science methods to understanding the most important aspects of our product, users, and business.
• Organizing disparate facts and findings into powerful narratives that have the broadest possible application within Slack.
• Evangelizing evidence-based decision making by partnering with key decision makers and driving general accessibility of data and insights.

Requirements

5+ years of professional industry experience doing quantitative analysis. An advanced degree (MS, PhD) in a quantitative field (e.

g. Computer Science, Economics, Physics) a plus.

• A consistent record of using data to drive product teams to achieve ambitious goals.
• Expert in at least one programming language for data analysis (e.g. Python, R).
• Expert in designing and testing experiments.
• Experience with statistical and machine learning methods to build descriptive and predictive models.
• Experience working with data technologies that allow effective storage and analysis of large amounts of data (e.g. Spark, Presto, Hive, Hadoop, etc).

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

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.

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 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 $172,500 to $258,700.

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

For Washington-based roles, the base salary hiring range for this position is $156,800 to $237,200.

For California-based roles, the base salary hiring range for this position is $172,500 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.

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