We’re looking to drive unprecedented gains in student literacy and we’re assembling a world class team to get us there. You’re coming aboard to help us unlock the meaning behind the millions of data points we have and the millions more we’re accruing.
As Newsela’s usage in classrooms all over the world has grown, so has our focus on using data-driven analysis and results across every area of our business in order to make us more efficient and effective in helping students learn to read. Our first Director of Data Science will bring team leadership to our growing team of Data professionals, technical leadership to our product development, and thought leadership across the entire organization, ensuring that our practices are innovative and collaborative.
You will be responsible for building a key function into a practice. You’ll provide our talented Data team with guidance and mentorship, bringing them to new heights. And you’ll enhance Newsela’s product features and functionality by providing our decision-makers with powerful data-driven results.
Your work will not only enhance Newsela and its products, it will immeasurably help teachers and improve student literacy around the globe. If you’re as excited as we are about making meaningful change in education and affecting the lives of children everywhere, Newsela is the place for you.
Responsibilities
Analyze student reading and write using multiple signals, including assessment and user interaction data.
Build and maintain infrastructure for data storage and analysis.
Help communicate data to end-users so that it is accessible and actionable.
Work with other product teams to implement new features for data collection.
Seek external validity between Newsela and real-world student literacy outcomes.
Manage both scientists and engineers working in an interdisciplinary environment.
Mentor your team and set the tone for data science at Newsela.
Desired Skills and Experience
The Ideal Candidate
Has 7+ years of experience as a Data Scientist.
Has 3+ years of experience managing engineering teams that solve complex problems.
Performed and applied academic-esque research in a company setting.
Has programming experience in both academic and business environments.
Has a mastery of both Frequentist and Bayesian statistics.
Demonstrated experience doing high-level management in a startup environment.
Has the demonstrated ability to assess abstract data science problems and come up with creative answers.
Has opinions on data infrastructure and the best methods to store data.
Has experience with experimental design and the scientific method.
And has deep expertise in:
Computational linguistics
Pedagogy
Machine learning
Database systems
Data visualization
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