About the Role:
We are seeking a Data Scientist with a strong background in supply chain analytics to join our team. The ideal candidate will demonstrate intense collaboration, a passionate focus on customer needs, disciplined execution, continuous improvement, and a relentless drive to achieve results.
Experience:
3-8 years
Key Responsibilities:
- Utilize analytical techniques including visualization, statistical methods, and machine learning/AI to develop scalable solutions for supply chain challenges.
- Translate complex supply chain business problems into quantitative questions and apply robust methodologies to answer them.
- Collaborate with software development teams to ensure data collection, quality, and solution testing at scale.
- Analyze large datasets to automate and optimize critical processes.
- Develop, validate, and implement machine learning models in production systems.
- Make data-driven business recommendations through clear and effective presentations.
- Build and prototype scalable analytics solutions.
- Work closely with engineering teams to integrate models and algorithms into production environments.
Key Skills:
- Strong proficiency in R or Python (4+ years) for data analysis; knowledge of both is preferred.
- Applied knowledge of statistical and machine learning methods.
- Experience with visualization tools like ggplot2, matplotlib, and seaborn.
- Proficient in SQL and working with relational databases (e.g., SQL Server, Snowflake, MySQL).
- Experience with Tensorflow, LLM’s, prompt engineering.
- Experience of deploying ML applications on platforms like Microsoft Azure, AWS, Google Cloud preferred.
- Excellent communication skills and ability to work effectively in a team.