Summer PhD Data Science Co-op [Slack]

Key Skills

Data Analysis, Data science techniques, Experimentation, Machine learning techniques, MySQL, Python Programming, R Programming, SQL, Statistical modeling

Job Description

Summer 2023 PhD Data Science Co-op [Slack] role at Cambridge, MA, USA

This position is a 16 week long Co-op from May 1st - August 18.

Slack is on a mission to make your working life simpler, more pleasant, and more productive. We are hiring for Data Science Interns in Summer 2023 to help guide the future of Slack! Data science internships at Slack are a unique opportunity for those that wish to gain hands-on experience working with data at a fast-moving company. Data scientists at Slack inform and influence decisions using data and research by crafting our findings into narratives and partnering with key decision makers within the company.

In addition, as an intern you will have access to resources and events to help you grow both professionally and personally. Throughout your internship, you will be part of events including Executive Speaker Series, AMAs, Volunteer Time Off, Workshops, and Socials. Lastly, you have access to participate in any of Slack's 7 Employee Resource Groups (ERGs).

What you will be doing

• Defining end-to-end product analytics 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 practical product recommendations
• Presenting your findings and recommendation to relevant product, design and engineering partners 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

Requirements:

• Must be graduating December 2023 or later.
• Currently pursuing an advanced (PhD or equivalent) degree in a quantitative field from an university/college in the U.S.
• Excellent communication skills and the ability to tell a complete narrative using data
• Excellent data coding skills (Python or R, SQL)
• Experience using SQL, MySQL, etc
• Excellent statistical foundation knowledge that covers the foundational components of modern data science, including experimentation, statistical and machine learning models, etc 
• Must have prior experience (e.g. intern experience) on applying data results to practical business problems.
• Ability to connect data analysis to real business problems to impact business decision making. 

Preferred:

• Preferred candidates are pursuing advanced degrees in statistics, math, economics, or computer science.
• Experience with transforming Data using SQL
• Understanding of running experiments and showing statistical technique.