AutoStore is looking to solve the problem of storing and moving things for everyone, everywhere, by expanding its AI-enhanced product offerings to increase the speed and accuracy of its warehousing solution.
Requirements
- Strong proficiency in Python for data manipulation, analysis, and automation.
- Solid understanding of statistical analysis and its application to data interpretation.
- Experience with SQL and relational databases (e.g., PostgreSQL, MySQL).
- Familiarity with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Plotly, Grafana, Superset).
- Experience working MLOps systems a plus (e.g., MLflow).
- 2+ years of professional experience in data analysis, data engineering, or a related field.
- A bachelor's degree in a quantitative field such as Computer Science, Statistics, Mathematics, or a related discipline.
Responsibilities
- Develop and maintain dashboards and reports to visualize key performance indicators (KPIs) for AI model performance.
- Analyze and track model output metrics, specifically for computer vision (CV) applications, to identify trends and anomalies.
- Monitor and report on infrastructure and operational spend related to AI solutions.
- Work with cross-functional teams to define data requirements and ensure data quality.
- Build and maintain ETL pipelines to ingest, clean, and transform data from various sources for analysis.
- Provide statistical analysis and insights to support decision-making for AI development and deployment.
- Display interest in diverse AI applications for warehouse optimization, such as computer vision and robot routing.
Other
- A pragmatic and hands-on problem solver, focused on execution.
- A strong collaborator and clear communicator.
- Structured, organized, and capable of working independently.
- Solution-oriented with a good attention to detail.
- Demonstrates flexibility to accommodate collaboration across international time zones.
