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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.

We are hiring a seasoned Data Scientist to join Slack Canvas and Quip product world! This product area focuses on building and enhancing core Canvas features and strategizing for the Quip migration plans and executions. Canvas and Quip product lines are at the core of Slack product strategy and are the most essential components of the Slack user experience! We look forward to welcoming a full stack Data Scientist to join this fast growing team to contribute to our dream of enabling our customers to collaborate more efficiently and effectively in a friction free way.

In this role, you will seek to understand the core Slack features impacting and influencing the nature of collaboration within Slack. You will also help to establish the foundational analytics infrastructure for Slack Canvas/Quip. You will partner closely with Eng, PMs, Researchers, as you work collectively to build/refine Slack’s strategy in this strategic area.

You will inform and influence decisions using data and research by crafting your findings into narratives and partnering with key decision makers within and across product pillars. You will have a unique opportunity to partner with world class researchers with varying backgrounds, including user researchers, market researchers, and survey scientists to uncover user experience gaps and opportunities.

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

• Apply various data science methods to understand different aspects of our product, features, users, and business

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

• Partner with data engineering org to design and enhance foundational data models and metrics structure 

• Organize disparate facts and findings into narratives that inform product strategy formation

• Define and drive alignment around success metrics for Canvas/Quip areas. Define and build long term product health monitoring and target setting based on evolving product ecosystem

What you should have

• 5+ years of professional industry Data Science or Analytics experience, ideally with an enterprise software company or consumer facing technology industry

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

• A proven record of using data and data based insights to drive product new features releases

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

• Experience in designing and deep-diving experiments to guide product launch decisions

• Experience using statistical and machine learning methods to build descriptive and ML models

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

• Experience in building advanced data pipelines and designing data model and table infrastructure

• Ability to drive and own ds scopes in a standalone product area independently. Proactively define and push ds initiatives with timely alignment across key partners.  

• Influence eng and product decisions with data based insights

• Able to scale ds work by enabling services and tools for stakeholder self-service. 

• Able to work in fast pacing tech development environment

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