San Francisco
51-200 employees
Remind is a communication platform that helps every student succeed by allowing educators to reach students and parents where they are.

Data Scientist

Data Scientist

This job is no longer open

About the company

Remind, the leading communication platform in education, helps educators reach students and parents where they are: their phones. With nearly 30 million active users, we’re one of the fastest-growing companies in education technology, but we have our sights set on something bigger: giving every student the opportunity to succeed.

Remind runs one of the largest free services in education (Remind Chat), one of the fastest growing school/district SaaS businesses (Remind Hub), and a revolutionary new direct-to-consumer business (Remind Tutoring). The common thread through each of our product lines is the belief that success in education is driven by relationships, and the Remind communication platform is where the next generation of education relationships live.

About this role

You will report into the Head of Data, but partner closely with technical, product and business leads across all of our product lines. You will ensure we are producing clean product data, build models and dashboards, and perform deep dive analysis that guide Remind strategy. You should be passionate about education, be adept at deriving insights from large data sets, and have a strong desire to drive impact. 

About you:

  • You are fast and rigorous analytically, with a degree in engineering, math, statistics, analytics, or relevant alternative education (adult learning, on the job experience etc). 
  • You have demonstrated experience answering big picture questions by framing the question, turning it into an analytical plan, executing that plan with minimal guidance and communicating results to stakeholders-- driving real impact in decision making.
  • You are a SQL expert, comfortable wrangling messy data and producing clean rollups for visualizations and reports and proficient in at least one scripting language (Python, R, etc).
  • You are an expert in data communication, from clearly documented notebooks, to fantastic dashboards in Looker, Tableau or similar. 
  • You can ensure our experimentation systems are rigorous and correct. 
  • You can build models and algorithms that demonstrably improve our business operations and performance
  • You have experience working with large data sets (Hadoop, AWS, Snowflake etc).

What you'll do:

  • Build and own the reporting on everything from our sales funnels to product usage. 
  • Work with engineering, product, growth, marketing and operations to identify gaps in logging data, and transform raw logs into metrics and actionable insights. 
  • Contribute to data pipelining, from data preparation to analysis to deployment.
  • Support efforts to resolve data quality issues by identifying the root-causes and presenting potential solutions.
  • Help democratize data at Remind, focusing on building self service tools (mostly “Explores” in Looker), and helping to teach XFN business users how to use those tools. 
  • Design experiments and implement models/algorithms that help us understand and benefit our users


  • Competitive salary and equity
  • 401K
  • 100% health coverage for you and your dependents
  • Open vacation policy
  • Paid parental leave

Remind is an equal opportunity employer, and we're committed to diversity and inclusion in the workplace. We aim to represent the students, teachers, and parents we serve, and we welcome, support, and empower all the diverse individuals in our community.

Frequently cited statistics show that women/non-men and underrepresented minorities are likely to apply to jobs only if they meet 100% of the qualifications. Remind encourages you to break that statistic. If you are passionate about this role and our mission, even if you don’t meet 100% of the qualifications, we look forward to receiving your application.

Please review our reasonable accommodations document to learn how we support our candidates with disabilities.


This job is no longer open
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