competitive salary
USA
Information Technology, Data Analysis / Data Science
English
in-office, flexible
about the company
Slack has transformed business communication. It’s the leading channel-based messaging platform, used by millions to align their teams, unify their systems, and drive their businesses forward. Only Slack offers a secure, enterprise-grade environment that can scale with the largest companies in the world. It is a new layer of the business technology stack where people can work together more effectively and connect all their other software tools and services.
diversity statement
"Prioritizing diversity, engagement and belonging remains a crucial part of strengthening and maintaining Slack’s culture in a digital-first world."
your area of responsibility
Defining end-to-end product data science projects with your mentor and product partner
Conducting actionable analysis by crafting your own data sets and using a variety of data science methodologies
Collaborating with your product partner to connect the analysis results to actionable product recommendations
Presenting your findings and recommendation to relevant product, design and engineering stakeholders to guide the team’s decision making
Solicit and incorporate feedback on your work from your mentor, other data scientists, and multi-functional team members throughout your mentorship
your profile
Must be graduating December 2025 or later.
Currently pursuing an advanced (MS, PhD or equivalent) degree in a quantitative field.
Preferred candidates are pursuing advanced degrees in economics, or computer science, statistics, math, engineering, etc.
Excellent data coding skills (Python or R, Sql)
Excellent statistical foundation knowledge that covers the foundational components of modern data science, including experimentation, casual inference, segmentation, statistical and machine learning models, etc
Excellent communication skills and the ability to tell a complete narrative using data.
Ability to connect data analysis to real business problems to impact business decision making.
Must have prior experience (e.g. intern experience) on applying data results to practical business problems.
the benefits
Discover them on our website!