Posted:1 week ago|
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Greetings for the Day…!!!
• 6-10 years of experience in applied data science, with a track record of delivering business value through machine learning solutions.
• Proficiency in Python with experience in libraries such as scikit-learn, pandas, NumPy, and TensorFlow or PyTorch.
• Strong foundation in statistical analysis, regression modeling, classification techniques, clustering, time series forecasting, hypothesis testing, and multivariate analysis.
• Hands-on experience building and deploying machine learning models in cloud environments (e.g., AWS, Azure, or GCP), with strong understanding of MLOps practices such as model versioning, CI/CD pipelines, monitoring, and automated retraining workflows.
• Experience working with large-scale structured and unstructured datasets using distributed data systems such as Hadoop, Hive, or Spark.
• Ability to translate complex, ambiguous business problems into structured data science problems and articulate solution approaches clearly.
• Excellent communication, storytelling, and stakeholder management skills.
• Strong analytical and problem-solving mindset with a bias for action.
•Innovation-oriented and proactive in identifying new opportunities for data-driven decision-making.
•Experience working in Agile or Scrum-based project environments.
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