• Bachelor’s, Master’s, or PhD in Statistics, Data Science, Computer Science, Applied Mathematics, or a related field.
• 3-5 years of hands-on, practical experience with cloud data platforms (Snowflake, Databricks), Python-based automation, internal app frameworks (Streamlit), BI/reporting tools, workflow automation platforms (Airtable), and AI-assisted development tools.
• Experience helping teams adopt new tools, new processes, and more modern ways of working while staying grounded in business realities.
• Demonstrated ability to lead and implement data science projects with minimal supervision.
• Proficiency in programming languages such as Python or R for data analysis and model development.
• Experience with machine learning frameworks and statistical tools.
• Strong understanding of SQL and working with large datasets.
• Excellent communication skills, with the ability to explain complex concepts to non-technical collaborators.
• Strong problem-solving abilities, with a bias towards action and a proactive approach to finding opportunities and challenges.