Staff Data Scientists

Role Summary: Lead cross-functional collaboration to identify and define analytic initiatives, formulate strategies, and develop solutions to achieve business goals through effective use of data machine learning models. Apply data science skills to analyze large, complex datasets and identify meaningful patterns that lead to actionable insights and data-driven solutions to business problems. Lead the development and deployment of advanced machine learning models to forecast outcomes and optimize workflows. Engage closely with stakeholders to grasp their requirements and deliver actionable insights that drive strategic decision-making. Design and present compelling visualizations and reports to effectively communicate analytical findings. Oversee the maintenance and enhancement of data pipelines to uphold data quality and precision. Keep abreast of emerging trends and breakthroughs in data science and machine learning fields. Proficiently extract, aggregate, and transform data from SQL and NoSQL databases, leveraging languages like R, Python, or other relevant tools for analysis and modeling. Build, test, and validate statistical, and machine learning models and analyses using Python, R, or other appropriate language as part of overall solution development. Lead implementation of analytic solutions into reporting platforms or production systems by leading the solution design, development, testing, and monitoring. Demonstrate operational excellence by monitoring, troubleshooting, and resolving production issues, including participating in a 24/7 on-call rotation.

Required Qualifications: Minimum 10 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.

Desired Qualifications: 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. The Company recruits for positions located in the United States and does not market employment opportunities to individuals located in the European Economic Area or United Kingdom. Individuals who voluntarily submit applications from outside the United States do so on their own initiative. By submitting an application, you acknowledge that your personal information may be collected, used, and shared with the Company, its affiliates, and authorized recruiting partners for recruitment, hiring, and employment-related purposes. Applicants may have certain rights regarding their personal information under applicable law, including the California Consumer Privacy Act, as amended.