Data Scientist

We’re looking for a Data Scientist to join our growing team.  The ideal candidate is passionate about all aspects of data – digging deep to explain observations or gain business insights, turning complex data into intuitive visualizations, transforming it to simplify future tasks and building machine learning models to provide the business with accurate predictions.

This position is a full-time contract role and is required to work Monday-Friday during Pacific business hours.

• Create and update ETLs as our source data and data needs evolve
• Build data visualizations and reports using Tableau
• Build, maintain, and improve machine learning models (neural networks, logistic regressions, boosted trees, k-means clustering, etc.)
• Share ownership and maintenance responsibilities of our entire data warehouse, including 50-100 million events coming through a Kafka queue each day, a 20 node Cassandra cluster, a 15 TB relational database, and an integration with Google BigQuery.
• 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.

• 5-7 years of experience in a Data Science or related role (experience with web analytics is a plus)
• BS in Mathematics, Statistics, Computer Science, or related field (master’s degree or PhD a plus)
• Strong proficiency in SQL (Google BigQuery and MySQL)
• Experience writing code (Python and Java/Groovy)
• A willingness to work in a face-paced, dynamic environment while juggling multiple projects
• A passion for innovation and learning with a driven mindset
• Excellent communication and presentation skills

• Experience creating complex data visualizations with Tableau
• Hands-on experience with advanced statistical concepts, such as cluster analysis, singular value decomposition, gradient descent, etc.
• Knowledge of web analytics software and best practices
• Strong ability to use Generative AI (e.g. ChatGPT, copilot, etc.) to assist with technical tasks

At Study.com, we know that strong communities are built on the power of our diversity, and we respect and strive to understand for the diverse identities, race, ethnicities, backgrounds, and perspectives of our team members. Our work and company culture have been consistently recognized, including:

• Inc. Best Place to Work
• Fortune Great Places to Work – Best Workplaces in the Bay Area
• Golden Bridge Awards – Gold Winner, Corporate Social Responsibility
• San Francisco Business Times & Silicon Valley Business Journal – Best Places to Work

Study.com provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran or disability status. In addition to federal law requirements.

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