Data Engineer / Scientist

About the Role

Seeking a hybrid Data Engineer / Scientist to bridge model development with database processing. You will analyze system data, train predictive models, and build feature stores to support production deployments.

Key Responsibilities

• Clean, aggregate, and analyze high-volume business data using Pandas and SQL.
• Build, evaluate, and tune machine learning models (classification, regression, clustering).
• Write optimized SQL and Python queries to construct database feature stores.
• Deploy trained models as scalable inference API endpoints inside Docker containers.
• Formulate business hypotheses, run statistical tests, and present insights to stakeholders.

Required Qualifications

• 4+ years of professional experience across data analysis, machine learning, and pipeline builds.
• Proficient in Python, including numerical and ML libraries (Pandas, Numpy, Scikit-learn).
• Strong SQL proficiency, with experience querying databases and processing transactional logs.
• Solid mathematical foundations (probability, regression, statistics, linear algebra).
• Experience containerizing models and deploying them to cloud staging environments.