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ParentSquare

Senior Data Scientist

ParentSquare

Senior Data Scientist at ParentSquare improving communication between schools and parents. Collaborating with teams to develop data-driven solutions that support family engagement initiatives.

Posted 6/3/2026full-timeRemote • California • 🇺🇸 United StatesSenior💰 $143,000 - $175,000 per yearWebsite

Tech Stack

Tools & technologies
Amazon RedshiftPythonSQLTableau

About the role

Key responsibilities & impact
  • Partner with Teams: Work directly with departments like Finance, Customer Success, and Product to understand their data needs, be their thought partner and deliver impactful solutions.
  • Build and Deploy Solutions: Prototype and launch data-powered tools and automations, both for our customers and for the company.
  • Define and Track What Matters: Help teams establish meaningful success metrics and build data products that report to monitor them.
  • Balance Speed and Rigor: Recognize when to move fast with a pragmatic solution and when to invest in building the right system - and communicate those tradeoffs clearly to stakeholders.
  • Champion Data Adoption: Create clear documentation, lead training sessions, and act as the internal expert to help teams more effectively use data tools within their workflows.
  • Raise the Bar: Contribute to and evolve data science standards and practices across the team.

Requirements

What you’ll need
  • Proven success working in a high-growth SaaS or technology company
  • 5+ years of experience in data science, analytics, or a closely related quantitative field
  • Bachelor's degree in Statistics, Mathematics, Computer Science, or equivalent practical experience
  • Fluency in Python and SQL; comfortable working across the full analytics stack
  • Experience with statistical methods and ML algorithms (regression, classification, clustering, gradient boosting, topic modeling, etc.) - and the judgment to know when to use them
  • Hands-on experience with modern data and analytics platforms (dbt, Snowflake, Redshift, Tableau, Omni, QuickSight, or similar)
  • Demonstrated ability to deliver across the full range - from a quick ad hoc pull to a company-wide dashboard
  • Excellent communication skills; proven ability to translate technical findings for non-technical audiences
  • Experience with LLMs and other AI tools for analytics is a bonus!

Benefits

Comp & perks
  • Employer-paid health insurance (including dependent coverage)
  • An employer-matched 401K retirement savings program from day 1
  • Paid Parental Leave
  • Stock options
  • Health + wellness reimbursements
  • PTO that increases each year
  • 15 paid holidays, including your birthday!
  • Tools and equipment for home office setup

ATS Keywords

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Hard Skills & Tools
data scienceanalyticsPythonSQLstatistical methodsML algorithmsregressionclassificationclusteringgradient boosting
Soft Skills
communicationcollaborationproblem-solvingdocumentationtrainingstakeholder managementpragmatic decision-makingdata adoptionthought partnershipmetrics establishment
Certifications
Bachelor's degree in StatisticsBachelor's degree in MathematicsBachelor's degree in Computer Science