EveryDay Labs

San Mateo, CA
11-50 employees
We unite behavioral science, data science, and evidence-based family outreach to deliver personalized intervention proven to prevent absences districtwide.

Quantitative Data Scientist

Quantitative Data Scientist

This job is no longer open

About EveryDay Labs

EveryDay Labs is a high-growth, VC-backed EdTech startup improving student outcomes at scale. By uniting behavioral science, data science, and family engagement, EveryDay Labs reduces the student attendance gap by providing school districts with data-driven, personalized interventions proven to reduce chronic absenteeism by 10-15% and mobilize families in support of the district’s strategic priorities. In over 1,500 schools across the US, we have already prevented over 1,000,000 absences, increasing instructional time for students by over 300 million minutes.

Every day we strive to live our values: Student-Centered at Scale, Stronger Together, Behavioral Science at the Core, Innovation Grounded by Evidence and Research, and Fearless about Learning.

About the Role
As our Senior Quantitative Data Analyst at EveryDay Labs, your work will immediately improve student outcomes by helping districts across the country to reduce absenteeism and increase learning time for students who need it most. EveryDay Labs brings a uniquely rigorous research, design, and evaluation process to edtech, executing more randomized controlled trials (RCTs) than most other education companies in the country.
Your role will be central to this process, with responsibility for executing our ambitious learning agenda and evaluating outcomes.

Your primary responsibilities will include: designing and executing RCTs to evaluate and improve the outcomes of our interventions, performing impact analysis and drafting program evaluations for our programs, designing, executing and analyzing survey research, working with our Data Engineers to standardize and automate parts of the impact analysis process in Python, performing ad hoc analysis to better understand attendance patterns and surface actionable insights, and supporting the data team’s work in executing our programs as needed. As an early member of our Engineering & Data Science team at EveryDay Labs, you will work across a variety of projects, products, and services.

Must have:

  • Demonstrated experience designing, implementing, and managing impact evaluations, randomized controlled trials (RCTS), field experiments, and/or quantitative research in real-world settings
  • Demonstrated experience in quantitative analysis including cleaning, managing, manipulating, visualizing, and analyzing large data sets
  • An understanding of experimental methods and survey design
  • Prior work experience in monitoring and program evaluation
  • Experience with (or education in) statistics and/or econometrics
  • Strong written and oral communication skills
  • Strong attention to detail
  • Proficiency with statistical software (R or Stata)

Nice to have:

  • Understanding of behavioral science
  • Experience designing behavioral interventions
  • Proficiency using Python or an openness to learning Python
  • Experience working with education data
  • Graduate degree in Public Policy, Economics, Statistics, or Quantitative Social Science

EveryDay Labs is an Equal Opportunity Employer - including disability/vet status. We celebrate diversity and are committed to creating an inclusive environment for all employees.

We are actively seeking to build a team and workplace that reflect the diversity of the communities we serve. We especially encourage people underrepresented in the tech industry to apply, and welcome your application even if you do not meet every one of the above requirements.
We are a remote-only team, candidates must be fully, legally eligible to work in the United States (visa sponsorship is not available). All candidates must reside in the United States.








This job is no longer open
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