Data Scientist

Job Summary

Mandatory

Skills:

Machine Learning and Deep Learning experience

• Minimum 6 years of experience with building optimization algorithms or relevant experience.
• Advanced proficiency in programming languages such as Python, R, SQL, and Java.
• Demonstrated expertise in utilizing data visualization tools to communicate insights clearly and effectively.
• In-depth experience with data science cloud platforms and their integration into business solutions.
• Exceptional intellectual curiosity and a proven ability to thrive in a fast‑paced, collaborative team environment.
• Track record of rapidly acquiring new technical skills and adapting to cutting‑edge technologies.
• Strong communication skills to articulate technical concepts to diverse audiences with clarity and professionalism.
• Deep understanding and application of statistical analysis and advanced machine learning techniques.
• Must understand and have proficiency in the core architecture of LLMs (e.g., transformers and attention mechanisms)
• Experience with prompt engineering techniques, including chain‑of‑thought prompting, Retrieval‑Augmented Generation (RAG), fine‑tuning of language models, and evaluation methodologies.
• Experience with Vector Databases and embeddings.
• Experience with Model Fine‑tuning.
• Experience with GPU optimization.

• Bachelor's degree or higher in Operations Research, Computer Science, Industrial Engineering or a related field. Ph.D is a plus.
• Knowledge of geospatial analytics, route optimization, and GIS concepts.
• Previous hands‑on experience with AI/Machine Learning frameworks and tools, showcasing innovative solutions.
• Extensive background in Rail, Shipping, Airline, Logistics, Warehousing, Supply Chain, or Transportation industries, or in the High‑Tech sector.
• Proficiency in leveraging open‑source libraries and frameworks to drive data science initiatives.
• Seasoned in Agile methodologies like Scrum, Kanban, or SAFe for efficient project management and delivery at a senior level.