About Panorama: Panorama Education is a fast-growing national technology company focused on radically improving education for every student. Over 1,500 school systems serving 13 million students across 50 states have adopted the Panorama platform to help educators collect data about non-academic factors that are key to each child’s success in school and in life, such as social-emotional learning and well-being, safety, teacher-student relationships, and family engagement.
About the Role
At Panorama, we have a big-picture vision to radically improve student outcomes by helping educators act on data and improve their practice.
Our data science activities run the gamut from data extraction and pipeline engineering to statistical modeling and data visualization. In this role, your primary goal will be to leverage data science to advance critical research and development (R&D) efforts for our products.
In this role, you will
Compile, clean, manage, analyze, and visualize large... one-of-a-kind educational datasets that include longitudinal, high-frequency data from millions of students, including their academic performance, in-class behavior, school attendance, and social-emotional competencies
Innovate and help engineer data pipelines and infrastructure to enable product development and educational research
Apply traditional and modern statistical techniques to creatively address key questions of practical and theoretical interest, such as the causal impact of educational interventions on student outcomes
Imagine and help implement data-driven products that aid educators to better support students
Collaborate closely with other data scientists, researchers, engineers, designers, and product managers
Concisely summarize extant scholarship and best practices to make that knowledge usable for other team members
Work with colleagues and company leadership to develop our data science strategy, priorities, and practices
This role is for you if you
Have demonstrable expertise in using data and analytics to reveal insights and improve decision-making
Can manipulate large datasets through parallel computing (e.g. Dask, concurrent.futures in Python, multidplyr in R) and convert them into analyzable formats
Have broad expertise in traditional and modern statistical methods including, for example, regression, multilevel modeling, psychometrics, dimension reduction, clustering, machine learning, and causal inference
Are fluent in one or more relevant programming languages (e.g., Python, R), data manipulation tools within programming language(s) (e.g., Pandas, dplyr) and RDBMSs (e.g, PostgreSQL)
Can program scripts (e.g., for data cleaning) not available in existing packages
Are a team player who thrives in a collaborative, small-team environment
Have formal education or training in data engineering, data science, or statistics
Have prior experience working with software engineers and/or product managers as a data scientist, engineer, or analyst
Bonus: Prior experience working with K-12 educational data or at an ed tech company
Panorama Education is dedicated to building a diverse and inclusive company because we serve students, educators and families from tremendously diverse backgrounds and identities across the country; we’ve seen how our product and impact are strengthened the more we reflect that diversity. In addition, we have found (and we believe the research) that diverse teams are higher-performing, and we embrace the varied perspectives that our team members share with each other. As such, we are an Equal Opportunity Employer. Panorama also has a policy on maintaining a drug-free workplace.
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