We are looking for an experienced Data Scientist to build, evaluate, and productionize predictive and intelligent models across ML, deep learning, NLP, and computer vision. The role focuses on developing production-ready models, maintaining statistical rigor, and translating insights into business outcomes.

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nResponsibilities:

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Own model development, experimentation, evaluation, and production readiness.
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Develop forecasting, optimization, recommendation, decision-science, and ML models.
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Perform feature engineering, EDA, and statistical analysis to identify meaningful patterns.
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Design rigorous model evaluation, validation, and testing frameworks.
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Validate model performance, fairness, and bias before go-live.
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Manage experiment tracking, datasets, and model reproducibility using tools such as MLflow/W&B.;
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Present model results, trade-offs, and uncertainty to business stakeholders.
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Collaborate with ML Engineers and Architects to productionize models.
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Lead complex decision-intelligence engagements when required.
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Mentor junior Data Scientists and ML Engineers.
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nQualifications:

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5+ years of applied Data Science experience with production model-shipping experience.
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Solid expertise in classical/statistical ML, forecasting, optimization, and deep learning.
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Experience with NLP, Computer Vision, graph-based features, or knowledge graphs is a plus.
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Robust Python, SQL, and experience with scikit-learn, PyTorch/TensorFlow, MLflow, or Weights & Biases.
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Strong knowledge of hypothesis testing, confidence intervals, and causal inference.
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Familiarity with fairness/bias evaluation and explainability tools such as SHAP and LIME.
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Robust communication skills with the ability to explain technical concepts and model trade-offs to business stakeholders.
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Ability to defend modeling decisions and collaborate closely with engineering and architecture teams.
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📌 Data Scientist Narela (India)
🏢 SYSTEMS
📍 India