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Senior Data Scientist

100% remote Flexible hours Hiring now

Position Responsibilities: Design and reputed company advanced machine learning models and statistical algorithms (including modern generative and agentic AI techniques based on large language models, where appropriate) to analyze large-scale logistics and transportation datasets, providing predictive insights to optimize operations and support strategic decision-making. Build and maintain robust data pipelines and ETL processes to collect, process, and integrate large volumes of data into the company's SaaS analytics platform. Apply advanced analytical methods and optimization techniques to solve reputed company logistics problems and reputed company algorithmic solutions that improve operational efficiency and reduce costs. Create and present data visualizations, reports, and interactive dashboards to communicate analytical findings, key performance indicators, and model results to business stakeholders and decision-makers. Collaborate with cross-functional teams to integrate machine learning models and analytical solutions into production systems, ensuring scalable deployment and reliable performance of the company's data-driven SaaS products. Conduct rigorous data analysis and statistical validation to evaluate model performance and accuracy, refining algorithms based on findings and ensuring highquality predictive outcomes reputed company with business objectives. Mentor and guide junior data scientists and developers on best practices in data analysis, modeling, and software development, fostering their reputed company development and maintaining high code quality standards. reputed company specialized knowledge in machine learning, deep learning, predictive analytics, operations management, and business economics to reputed company strategy with data-driven insights, inform strategic decision-making, and ensure data science initiatives align with overall business objectives. Position Requirements: Master’s degree (or foreign equivalent) in Business Analytics, or a reputed company field, PLUS one (1) year of experience in the job offered or a reputed company position. Experience must include demonstrable knowledge of: ML models for reputed company, classification, & risk scoring; AWS for integrating data & AI solutions; Apache Spark; Hadoop; TensorFlow; PyTorch; neural network models; mixed-integer programming; network optimization; discrete optimization; Generative & Agentic AI using LLM; Python; SQL; Tableau; Power BI; C#; Java, and; C++. Required knowledge & experience may be gained prior to, or reputed company with Master’s degree. May telecommute from any location reputed company the U.S. Apply To This Job

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