Data Scientist / Analyst
Confirmed live in the last 24 hours
Online video learning platform
Company Overview
Study.com is on a mission is to make education accessible. The company has dedicated the last two decades to becoming the leading online education platform for over 30 million learners and educators every month, Study.com is recognized as one of the most transformational companies in EdTech.
Social Impact
Education
Company Stage
N/A
Total Funding
N/A
Founded
2015
Headquarters
Mountain View, California
Growth & Insights
Headcount
6 month growth
↓ -1%1 year growth
↑ 0%2 year growth
↑ 12%Locations
Mountain View, CA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
BigQuery
Apache Kafka
Data Analysis
Git
Java
R
MySQL
SQL
Tableau
Talend
Python
Looker
Excel/Numbers/Sheets
CategoriesNew
Data & Analytics
Requirements
- A passion for learning and a willingness to pick up whatever you need to get the job done
- Solid SQL experience (we use MySQL and BigQuery)
- Strong analytical skills and ability to draw conclusions based on data
- Comfortable working in a fast-paced, dynamic environment while juggling multiple projects
- Solid experience in Excel for data analysis and visualization
- BS in Mathematics, Statistics, Computer Science, Operations Research, or similar fields
- Good interpersonal communication and presentation skills
- Self-motivated, detail-oriented, and passionate
- Some programming experience. We primarily use Java/Groovy and Python, with some legacy code written in R
- Reporting and Business Intelligence experience (Tableau, Looker, QlikView, Microstrategy, etc)
- Hands-on experience with advanced statistical concepts, such as cluster analysis, singular value decomposition, stochastic gradient descent, and Bayesian methods
- Experience using an ETL tool (Pentaho, Talend, SSIS, etc.) on large datasets (terabytes in size)
- Knowledge of web analytics software and best practices
- Experience with generative AI (e.g. ChatGPT, GitHub Copilot, etc.) to assist in coding and other technical tasks
- Masters Degree or PhD
Responsibilities
- As part of the Business Intelligence team, own and maintain the entire data warehouse, including 50 - 100 million events coming through a Kafka queue each day, a 15 TB relational data warehouse and an integration with Google BigQuery
- Work in a cross-functional team and be the team's point person for any data related tasks (ETLing new data, analysis, visualizations, etc.)
- Monitor and analyze the team's A/B tests and proactively communicate key insights within your team and to external stakeholders
- Be the voice of data by supporting the team's product owner in finding business opportunities, defining KPIs, and setting team goals
- Actively establish processes and build tools to make data more accessible to everyone
- Use your knowledge of statistics to support the Business Intelligence team in building and maintaining machine learning models (neural networks, logistic regressions, boosted trees, k-means clustering, etc.) that drive a significant portion of our revenue
- Help and teach others throughout the company to better use and understand our data
- Present findings and insights to teammates, stakeholders, and leadership
- Innovate! We're a team that likes to stay on the cutting edge. Everyone is expected to always be looking for ways to leverage the latest technology to improve our processes and drive better results
Desired Qualifications
- 2-5 years of experience in a data analyst role, experience with web analytics is a plus