**This position is a full-time contract role and is required to work Monday-Friday during Pacific business hours.**
**What You'll Do**:
- 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.
**What You'll Bring To The Role**:
- 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
**Nice To Have**:
- 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
- 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

📌 Data Scientist (Ciudad de México)
🏢 Study.com
📍 Ciudad de México