- 4+ years of primary, hands-on experience in Data Science and Predictive Modeling,
with a strong 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 with
both 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 when
validating data integrity and model performance.
- Strong written and verbal communication skills, including the ability to translate
complex data findings and statistical metrics into actionable business insights for non-technical stakeholders.
- Proven ability to work independently, manage end-to-end data projects (from
discovery to deployment), and thrive in a quick-paced, data-driven setting
📌 Engineer (Hyderabad)
🏢 Virtusa
📍 Hyderabad
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