Our Client, a Business / Productivity Software company, is looking for a Data Science Developer for their Ann Arbor, MI / Hybrid location.
Responsibilities :
- Design, develop, and implement data science models and algorithms to solve supply chain and logistics problems.
- Leverage machine learning techniques (, XGBoost, KNN, regression models) to enhance ETA predictions, anomaly detection, and route optimization.
- Work with large, complex datasets in platforms such as Databricks, using Python, R, and SQL to clean, transform, and analyze data.
- Collaborate with product managers, engineers, and data analysts to integrate models into production environments.
- Use Kanban methodology in Agile teams to track and deliver sprint-based objectives.
- Communicate findings through dashboards, visualizations, and presentations to both technical and non-technical stakeholders.
- Continuously evaluate and tune models for performance, accuracy, and efficiency.
Requirements :
Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Engineering, or related field.years of experience applying data science or machine learning in a supply chain or logistics context.Strong programming skills in Python, R, and SQL.Hands-on experience with machine learning libraries (, XGBoost, scikit-learn).Proficient in Databricks or similar big data platforms.Familiarity with Agile development and Kanban project management.Solid understanding of supply chain processes, logistics networks, and real-time data challenges is a strong plus.Passion for growth, collaboration, and someone who loves data science.Excellent problem-solving skills and ability to work independently or in a team.The ideal candidate will have experience creating a product that is in production.Why Should You Apply?
Excellent growth and advancement opportunities