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Overview
Mid-Level

Data Scientist IV

Confirmed live in the last 24 hours

GoGuardian

GoGuardian

Compensation

$200,000 - $220,000/year

United States
Remote
Posted March 9, 2026

Job Description

What We Do
 
At GoGuardian, we’re helping build a future where all learners are ready and inspired to solve the world’s greatest challenges. Our award-winning system of learning solutions is purpose-built for K-12 and trusted by school leaders to promote effective teaching and equitable engagement while helping empower educators to keep students safe. 
 
What It’s Like to Work at GoGuardian

We are an outcomes-focused learning company with a steadfast focus on improving learning environments, one classroom at a time. Working with us means joining a remote team of diverse, committed, mission-driven employees who are inspired by our vision, dedicated to our customers, and ready to roll up their sleeves. Guardians put their heads together to solve problems, learn together from experiments that fail, and stand together by their work with full accountability. We balance our diligence with an inclusive culture that invites everyone to bring their whole self to work. Join us and learn why “I love the people here” is one of the most frequent comments we hear from Guardians.

The Role

We’re looking for a Data Scientist IV to join an innovative team collaborating with partners throughout the business to solve challenging problems. In this role, you’ll be optimizing company performance with algorithms, experimentation, and interactive dashboards. You will also have the opportunity to contribute to novel research studies and production-grade algorithms that serve students and educators. This position sits on the Data and AI team, a team that sets the standard for data-driven and scientific decision-making throughout the business. The ideal candidate is a creative problem solver with excellent technical and communication skills and is committed to fostering a culture of continuous learning and innovation.

 

What You'll Do

  • Lead the Development and Optimization of Machine Learning Models: Spearhead the design, development, and optimization of advanced machine learning models to personalize learning experiences, predict student outcomes, and enhance educational content delivery.
  • Data Analysis and Insight Generation: Utilize statistical analysis and data mining techniques to analyze vast amounts of data, deriving actionable insights that inform product development, user engagement strategies, and educational content improvement.
  • Collaborate on Cross-Functional Projects: Work closely with product managers, software engineers, and educational specialists to integrate data science solutions into the platform, ensuring they meet the company's educational goals and user needs.
  • Mentor and guide junior data scientists and analysts, fostering a culture of learning and continuous improvement within the team.
  • Regularly interact with senior management or executive levels in matters concerning data science.
  • Keep abreast of the latest developments in data science, machine learning, generative AI, and education technology, applying new techniques and technologies to solve complex problems in the educational domain.
  • Ensure the ethical use of data, adhere to privacy laws and regulations, and implement best practices in data governance to protect sensitive information related to students and educators.

 

Who You Are

  • Advanced education (PhD or Master’s) in a quantitative field (science, math, statistics, engineering, etc.) with professional work experience as a Data Scientist
  • 7+ years of experience leading data science initiatives to deliver impactful results
  • Excellent written and oral communication skills
  • An outstanding ability to communicate complex findings to stakeholders outside of Data Science in a clear, simple, and concise manner. Prior experience mentoring and supporting junior to mid-level data scientists
  • Advanced skills in Python, SQL
  • 7+ years of experience with Natural Language Processing and Deep Learning
  • Experience with git and cloud computing (AWS, GCP, or Azure)
  • Strong proficiency in traditional statistics and ML approaches
  • Experience extracting data from a variety of sources in different formats
  • Knowledge of best practices in coding/scient
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