Principal / Senior Data Scientist – AI & Enterprise Analytics

Kces; New York (NY); On-site; USD 130,000 - 180,000; Full time

Job summary

A leading AI-focused company is looking for a Principal/Senior Data Scientist to lead enterprise AI initiatives. You will design production-grade machine learning systems and develop LLM-powered applications in a global environment. Successful candidates will have over 7 years of experience in data science and machine learning, strong expertise in Python, and cloud platforms like Azure. This is an opportunity to shape AI strategy while remaining hands-on with modern systems.

Qualifications

• 7+ years experience in Data Science, Machine Learning, or Advanced Analytics.
• Strong Python expertise and hands-on ML deployment experience.
• Experience with Generative AI or LLM-based applications.
• Experience operating in enterprise or regulated environments.

Responsibilities

• Design and deploy scalable ML pipelines using Python and cloud-based platforms.
• Develop and operationalize LLM-powered applications.
• Present executive-ready insights and recommendations.
• Drive data governance, model validation, and quality standards.

Skills

Data Science

Machine Learning

Python

Cloud ML Platforms

Generative AI

Statistical Analysis

Tools

Azure ML

Databricks

Power BI

Job description

🚀 Principal / Senior Data Scientist – AI & Enterprise Analytics

We are seeking a Principal / Senior Data Scientist to lead enterprise AI and advanced analytics initiatives within a high-impact, global environment.

This role sits at the intersection of modern machine learning engineering, Generative AI, and enterprise-scale analytics. You will design production-grade ML systems, contribute to LLM-powered applications, and partner with business leaders to translate complex questions into data-driven insights.

If you enjoy building scalable AI solutions while shaping analytical strategy at an enterprise level — this is the role.

🔹 What You’ll Do

AI & Machine Learning Engineering

• Design and deploy scalable ML pipelines using Python and cloud-based platforms (Azure, Databricks, or equivalent)
• Productionize predictive and prescriptive models
• Establish monitoring, validation, and MLOps best practices

Generative AI & Advanced Modeling

• Develop and operationalize LLM-powered applications
• Implement prompt engineering and retrieval-augmented generation (RAG) solutions
• Define evaluation metrics for model accuracy, performance, and business impact
• Translate complex business problems into structured analytical strategies
• Partner with cross-functional teams across technology, product, and business
• Drive data governance, model validation, and quality standards
• Present executive-ready insights and recommendations
• Provide technical leadership and mentorship as needed

🔹 What We’re Looking For

✔ 7+ years of experience in Data Science, Machine Learning, or Advanced Analytics

✔ Strong Python expertise and hands‑on ML deployment experience

✔ Experience with cloud ML platforms (Azure ML, Databricks, Synapse, or similar)

✔ Experience with Generative AI or LLM‑based applications

✔ Strong statistical foundation and ability to translate business questions into analytical solutions

✔ Experience operating in enterprise or regulated environments

Preferred

• Power BI or enterprise BI tools
• MLflow or model tracking tools
• Experience leading complex cross-functional initiatives

This is an opportunity to shape enterprise AI strategy while remaining hands‑on with modern ML and GenAI systems.

If this aligns with your experience, feel free to reach out directly or apply.