Lead Data Scientist - Anomaly Detection + Optimization
Description: Join Target's Data Science and Optimization team, which is a
multi-disciplinary team of people skilled in statistics, optimization, machine
learning, operations research, distributed systems, compilers, and functional
programming. This is an exciting opportunity where you will:
What we are looking for:
Qualifications:
- Research techniques and prototype telemetry tools to detect anomalies in supply chain performance and diagnose their root causes.
- Embed with business teams and understand the supply chain processes to inform the design of these telemetry tools.
- Partner with a multi-disciplinary team of technologists to develop and implement these tools to work at scale.
- Test and learn to influence and drive the creation of new methods and best practices in the use of statistical data modeling and machine learning techniques in a big data environment to build these telemetry tools for Target's supply chain operations.
What we are looking for:
- Evidence of strong data analysis and fundamental statistical modeling skills
- Working experience programming in Python/R/SQL in a data rich environment
- A strong quantitatively oriented advanced degree with a passion for empirical research and mathematical thinking
- Very good client facing skills, excellent written and verbal communication skills
- Interest in continuous learning across different fields, especially statistics, optimization, econometrics, functional programming, clean software engineering and of course supply chain operations in omni-channel retailing!
Qualifications:
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