Data Scientist

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Who we are

CAI is a global technology services firm with over 8,500 associates worldwide and a yearly revenue of $1 billion+. We have over 40 years of excellence in uniting talent and technology to power the possible for our clients, colleagues, and communities. As a privately held company, we have the freedom and focus to do what is right—whatever it takes. Our tailor-made solutions create lasting results across the public and commercial sectors, and we are trailblazers in bringing neurodiversity to the enterprise.

Job Summary

Data Scientist

What You’ll Do

• Analyze large and complex logistics datasets to uncover patterns and optimize operations.
• Build and deploy machine learning models for forecasting, route optimization, anomaly detection, and other analyses.
• Write efficient Python and SQL code to develop ETL workflows and data pipelines.
• Collaborate with cross-functional teams—including Data Engineers, Operations, and Business stakeholders—to define requirements and deliver data-driven solutions.
• Work with cloud platforms such as AWS, Azure, or GCP to architect scalable, cloud-native data science solutions.
• Stay informed about new developments in Data Science, ML, and GenAI, and apply them to business problems.
• Present findings and model results clearly to both technical and non-technical audiences.

What You'll Need

• Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or related disciplines.
• 2-4 years in Python (libraries like pandas, NumPy, scikit-learn).
• Strong SQL skills for querying and manipulating large relational datasets.
• Hands-on experience with cloud platforms (AWS/Azure/GCP).
• Solid understanding of statistical analysis and machine learning fundamentals.
• Analytical mindset with attention to detail and problem-solving capabilities.
• Excellent verbal and written communication skills.

Preferred

• Exposure to Generative AI frameworks or large language models (e.g., Open AI GPT, Hugging Face Transformers).
• Familiarity with cloud-native ML tools (e.g., Sage Maker, Azure ML, Vertex AI).
• Experience with CI/CD pipelines and version control (e.g., Git).

Physical Demands

• Sedentary work that involves sitting or remaining stationery most of the time with occasional need to move around the office to attend meetings, etc.
• Ability to conduct repetitive tasks on a computer, utilizing a mouse, keyboard, and monitor.

Reasonable accommodation statement

If you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employment selection process, please direct your inquiries to application.accommodations@cai.io or (888) 824 – 8111.