AI & Data Engineer
Required skills
Master's degree or equivalent experience in Data Science, Computer Science, Mathematics, or Statistics; 8+ years of hands-on experience in innovation-focused roles; Python for data manipulation and API prototyping; SQL for data exploration; AWS cloud services (Lambda, S3, RDS, EC2); Docker for containerization; React and TypeScript for front-end development; Statistical modeling, machine learning algorithms, and experimental design; Time series analysis, regression, and clustering algorithms.
Preferred skills
Bayesian statistics.
Technologies
Python, React, TypeScript, AWS, Docker, SQL, Snowflake.
Responsibilities
Lead exploration and rapid development of proofs-of-concept and MVPs for AI and data-driven products; Collaborate with Data Scientists on model conceptualization and initial implementation; Develop full-stack prototypes including front-end interfaces and back-end services; Act as a bridge between Data Scientists and Engineers to translate complex needs into technical designs; Conduct research on emerging AI/ML technologies and tools.
Seniority
Senior (8+ years experience).
Domain
AI, Data Science, Marketing Technology.