4+ years of primary, hands-on experience in Data Science and Predictive Modeling,with a solid foundation in a production environment.
Demonstrable, hands-on knowledge and proficiency with Python and SQL (a musthave requirement for this role), including libraries such as Pandas, Scikit-learn, and NumPy.
3+ years of dedicated experience in Statistical Analysis, Machine Learning (ML)algorithms, and deploying models into production.
Strong understanding of Data Integration, Feature Engineering, and working withboth structured and unstructured datasets.
Experience with Model Documentation and tracking experiments (e.g., MLflow,DVC, or Jupyter) and a commitment to reproducible research practices.
Excellent analytical and mathematical skills, with a strong attention to detail whenvalidating data integrity and model performance.
Strong written and verbal communication skills, including the ability to translatecomplex data findings and statistical metrics into actionable business insights fornon-technical stakeholders.
Proven ability to work independently, manage end-to-end data projects (fromdiscovery to deployment), and thrive in a fast-paced, data-driven setting
📌 DataOps and MLOps (Contract) (India)
🏢 Saaki Argus And Averil Consulting
📍 India
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