Overview

Are you looking for a career that makes a positive difference in your life and in the lives of learners and educators across the globe?

We are looking for a Statistical or Psychometric Data Scientist to help us evaluate evidence for student proficiency from data collected by various McGraw Hill products. Join a team of experts within our K–12 School division at McGraw Hill working on initiatives that place the student at the center of an ongoing journey across multiple programs and classes. A longitudinal student record based on data from various McGraw Hill products will serve as the basis for recommendations and insights provided to teachers, students, and families and could improve millions of lives.

Could your creative thinking build the future? Our Data Scientists at McGraw Hill make a difference for learners and educators across the world. Our team needs individuals with new ideas who connect with people in innovative ways.

** Only considering candidates who do not require immigration sponsorship at this time**

What you will be doing:

• Clean, process, and explore student interaction data from various educational products
• Develop models and algorithms to measure student proficiency, draw insights from student behavior, and provide useful recommendations to teachers, students, and families
• Work with learning scientists, product managers, UI/UX researchers, and curriculum designers to create visualizations, reports, and dashboards that help teachers, students, and families understand a student’s learning journey
• Work with data engineers to deploy production-quality code into products used by millions of users

What you will bring to the role:

• A Ph.D. in a relevant field (psychometrics, educational measurement, statistics, math, computer science, or equivalent)  
• Knowledge of R, Python, and SQL 
• Expertise in statistical modeling or psychometrics, e.g., Bayesian 
• Experience analyzing behavioral or social science related data
• Strong affinity with education and student learning 
• Ability to balance scientific rigor and creativity with fast-paced development and practical solutions  
• Experience creating scalable and efficient production-level code, or interest in acquiring these skills  

Our preference would be for someone with one or more of the following: 

• A background in Bayesian modeling or computational psychometrics 
• 3 – 5 years' experience training and deploying data science models in production 
• Experience with language and reading assessments or NGSS science assessments 
• Experience building/maintaining data pipelines  
• Experience with object-oriented programming

Are you ready for a new challenge? Apply for a career at McGraw Hill and together, we’ll impact the world.

As an education innovation company, we're proud to play our part by inspiring learners around the world. If you bring your curiosity, we'll help you contribute and grow in a collaborative environment, where everyone shares a passion for our craft, and how it can support the success of students and teachers.

The pay range for this position is between $100K - $120K annually, however, base pay offered may vary depending on job-related knowledge, skills, experience and location. An annual bonus plan may be provided as part of the compensation package, in addition to a full range of medical and/or other benefits, depending on the position offered.

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