Data Engineering Scientist

5+ years of hands-on experience in a data science, data engineering, data analyst, analytics engineering, or ML role Expert SQL skills (analytic window functions, CTEs, advanced join techniques) Expertise with Python or R for data analysis and automation Expertise with at least one data visualization tool, preferably Looker Experience with Cloud data platforms, DevOps, MLOps (AWS, GCP, Azure) Knowledge of data orchestration tools (Airflow, Prefect, dbt, Dagster, etc.) Experience with ML frameworks (scikit-learn, TensorFlow, PyTorch) Experience with version control (Git) and software engineering best practices Familiarity with marketing analytics, retail, and econometric principles Understanding of basic statistics Ability to communicate technical concepts to non-technical stakeholders

Lead application of statistical and machine learning methodologies Co-design rigorous A/B and multivariate experiments Identify opportunities for machine learning or advanced analytics Prototype data-driven solutions Architect and deploy robust data pipelines Design and optimize data storage solutions and database schemas Ensure data quality, reliability, and accessibility Automate repetitive data processes Establish and enforce data governance and security standards Serve as embedded strategic data partner Design and manage self-service business intelligence assets Conduct ad-hoc analyses Translate complex findings into actionable recommendations