Assist in constructing, testing, and deploying machine learning models.
Design and evaluate experimental designs and A/B testing methodologies.
Productionalize data science code utilizing GitHub, version control, and modern MLOps pipelines.
Work with data vendors in pushing data boundaries.

🎯 Requirements

Education: Master’s degree or higher in Mathematics, Statistics, or a Quantitative field.
Statistical Expertise: Hands-on experience with A/B testing methodologies and experimental design.
ML & Engineering: Proven experience building ML models and exposure to MLOps principles.
Production Skills: Ability to productionalize code using GitHub and manage code versioning.

🎁 Benefits

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