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.

Responsibilities:

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




Mentor junior Data Scientists and ML Engineers.

Qualifications:

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

📌 Data Scientist (Eluru)
🏢 Systems
📍 Eluru