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Data Scientist

Added Jul 12 from WeWorkRemotely

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Headquarters: San Francisco, CA


At Dataquest, we teach data science to a community of hundreds of thousands of students worldwide. We help students deeply learn concepts, build projects, work together, and gain the confidence they need to start new careers. Read more about our philosophy here, and read what students think here.

We’re looking for an experienced data scientist who’s passionate about online education. You'll help us create the future of data science education online by making data a central part of of our product, marketing, and content decision making.

As our first product-oriented data scientist, you'll have the opportunity to audit and clean up our data infrastructure, with the goal of enabling anyone in the company, even non-technical folks, to analyze and understand student data. You'll also help us create dashboards that indicate how we're progressing towards company and team goals. Finally, you'll help us analyze student data to determine what features and content to create next.

We currently copy our data into Redshift via Segment and Stitch, and analyze the data with SQL and Python using Mode. This enables us to aggregate most of our product data in a single place, and enables us to do useful joins across datasources. It also gives everyone on the team the same access to data and analysis tools.

There's significant autonomy and ownership in this role. This is the chance to make a big impact on a small team in a fast-growing bootstrapped company. You'll have a major role in educating hundreds of thousands of students worldwide.



There's a lot of autonomy in our roles, and our goal is to give everyone on our team the correct context and resources to make the right decisions for our students.

Working at Dataquest gives you the chance to work with a mission-focused, motivated team on an important problem.

At Dataquest, you'll get:

The salary range for this role is $75k USD - $95k USD per year, and it's a full-time remote role.

To apply:

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