Brombeer IT Solutions LLC
Website:
brombeersystems.com
Job details:
The Role
We are seeking a seasoned Data Scientist to deliver critical intelligence to our cross-functional Supply Chain teams. You will bridge the gap between complex data and business strategy, turning Proof of Concepts (POCs) into scalable, production-ready ML solutions. This role is perfect for a leader who excels at rapid hypothesis testing and storytelling through data.
What You’ll Do
- End-to-End Delivery: Build and deploy scalable ML models from discovery through to production and MLOps.
- Strategic Influence: Shape the machine learning strategy for major digital programs and influence cross-functional decision-making.
- Advanced Analytics: Combine ML with simulations and optimization techniques to solve complex supply chain hurdles.
- Mentorship: Provide technical leadership to junior data scientists, vetting designs and fostering best practices.
- Collaboration: Partner with IT, Data Engineering, and business SMEs to ensure solutions are secure, repeatable, and high-performing.
What You Bring
- Experience: 7+ years of professional Data Science experience with a BS/BE in a technical field.
- Tech Stack: Mastery of Python/R and SQL; experience with Big Data tools (Hadoop, Scala, Databricks).
- Cloud Proficiency: Hands-on experience with Azure or AWS (Synapse, Data Factory, Azure ML).
- Core ML: Deep expertise in predictive modeling, feature engineering, hyperparameter optimization, and deep learning.
- Agile Mindset: Ability to thrive in an Agile environment and communicate complex findings to non-technical stakeholders.
Bonus Points For
- Experience in Supply Chain (Logistics, MEIO, Procurement) within the CPG or Healthcare industries.
- Exposure to Optimization tools (Pyomo, Mosel) or advanced tech (NLP, Computer Vision).
- Knowledge of CI/CD pipelines (Jenkins) and MLOps frameworks.
Why Join Us?
Apply your expertise to real-world challenges that impact global supply chains. We offer a space where innovation meets execution.
Click on Apply to know more.