Salary
💰 $140,000 - $180,000 per year
Tech Stack
AWSCloudPythonScikit-LearnSQL
About the role
- Own the entire machine learning lifecycle – from framing ambiguous business problems to delivering measurable impact in production
- Dig into complex data to design, run, and refine analyses through well-structured, performant SQL
- Engineer, validate, and deploy real-time ML models–including building the data pipelines, writing production inference code, and monitoring model performance
- Design and execute experiments to measure business impact, troubleshoot unexpected outcomes, and iterate quickly
- Effectively translate results of experiments and analyses into actionable insights for stakeholders and leadership with a variety of technical backgrounds
Requirements
- Master\'s degree or Ph.D. in Statistics, Data Science, Economics, Physics, or a related technical field or 4+ years of experience as a data scientist or advanced analytics role
- Proven track record framing open-ended problems, conducting analyses, and producing data-driven recommendations
- SQL mastery, experience working with large data-sets on the cloud a plus
- Proficiency in Python and statistical and machine learning libraries (e.g., scikit-learn, statsmodels, xgboost)
- Comfort with ambiguity and constraints — you thrive in situations with incomplete specs, evolving requirements, and operational challenges, and can deliver high-quality solutions despite them