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.Strong 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.
Systems Limited
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