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Senior Data Scientist

Job Description - Senior Data Scientist



Job Responsibilities

  • Build, enhance, and deploy machine learning models that address real‑world business problems using structured and unstructured datasets.
  • Partner closely with business stakeholders to identify high‑value ML opportunities, define project scope, and align initiatives with strategic objectives.
  • Transform analytical findings into clear, actionable recommendations that drive business impact.
  • Monitor and continuously improve AI/ML solutions to ensure strong performance and lasting value.
  • Stay ahead of industry trends in Machine Learning and Generative AI, experimenting with emerging tools and techniques to fuel innovation.
Job Requirements
  • Solid hands‑on experience with a wide range of ML algorithms, statistical methods, data processing, Python, SQL, and modern ML libraries.
  • Familiarity with cloud-based platforms such as Azure, GCP, or Databricks.
  • Exposure to Large Language Models (LLMs) is highly advantageous.
  • Strong analytical mindset and excellent problem‑solving abilities.
  • Able to communicate complex technical concepts in a clear and concise way to non‑technical audiences.
  • Strong attention to detail and a commitment to delivering high‑quality work.
  • Enthusiasm for continuous learning in the rapidly evolving ML/AI landscape.
  • Candidates with less experience may be considered for a Data Scientist position.

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