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Senior Data Scientist II at Panorama Education

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Job Overview

  • Date Posted
    December 11, 2023
  • Expiration date
  • Industry
  • Qualification
  • Career Level

Job Description

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
Assist product teams in the development and delivery of product metrics to help drive adoption and retention
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 and ML-powered 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. pyspark and sparkR) 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