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Principal / Senior Data Scientist - AI & Enterprise Analytics
- New York, New York, United States
- New York, New York, United States
Über
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. #J-18808-Ljbffr
Sprachkenntnisse
- English
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