
Data Scientist
5 days ago
Req number: R6198
Employment type: Full time
Worksite flexibility: Onsite 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 We are looking for a motivated Data Scientist ready to take us to the next level If you understand Python, SQL, and cloud computing to build data pipelines, develop predictive models and are looking forward to your next career move, apply now
Job Description
We are looking for a Data Scientist . This position will be full-time and Onsite Gurugram.
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 or – 8111.
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