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Data Scientist - AI ML Gen AI

Job in New York, New York County, New York, 10261, USA
Listing for: Kces
Full Time position
Listed on 2026-02-24
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below
Location: New York

🚀 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.

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