Senior Data Scientist

Optym • Coppell, TX

8d • Remote

About The Position

The Senior Data Scientist will design and develop advanced machine learning models and statistical algorithms, including modern generative and agentic AI techniques based on large language models, to analyze large-scale logistics and transportation datasets. This role involves providing predictive insights to optimize operations and support strategic decision-making. The position requires building and maintaining robust data pipelines and ETL processes, applying advanced analytical methods to solve complex logistics problems, and creating data visualizations and reports for stakeholders. Collaboration with cross-functional teams for production integration, rigorous data analysis for model evaluation, and mentoring junior team members are key aspects of this role. The Senior Data Scientist will leverage specialized knowledge to bridge strategy with data-driven insights and ensure alignment with business objectives.

Requirements

• Master’s degree (or foreign equivalent) in Business Analytics, or a related field
• One (1) year of experience in the job offered or a related position
• Demonstrable knowledge of ML models for prediction, classification, & risk scoring
• Demonstrable knowledge of AWS for integrating data & AI solutions
• Demonstrable knowledge of Apache Spark
• Demonstrable knowledge of Hadoop
• Demonstrable knowledge of TensorFlow
• Demonstrable knowledge of PyTorch
• Demonstrable knowledge of neural network models
• Demonstrable knowledge of mixed-integer programming
• Demonstrable knowledge of network optimization
• Demonstrable knowledge of discrete optimization
• Demonstrable knowledge of Generative & Agentic AI using LLM
• Demonstrable knowledge of Python
• Demonstrable knowledge of SQL
• Demonstrable knowledge of Tableau
• Demonstrable knowledge of Power BI
• Demonstrable knowledge of C#
• Demonstrable knowledge of Java
• Demonstrable knowledge of C++

Responsibilities

• Design and develop 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 complex logistics problems and develop 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 high-quality predictive outcomes aligned with business objectives.
• Mentor and guide junior data scientists and developers on best practices in data analysis, modeling, and software development, fostering their skill development and maintaining high code quality standards.
• Leverage specialized knowledge in machine learning, deep learning, predictive analytics, operations management, and business economics to bridge strategy with data-driven insights, inform strategic decision-making, and ensure data science initiatives align with overall business objectives.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior