Data Scientist

Job SummaryBasic QualificationsMinimum 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.Preferred QualificationsBachelor'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.