Job Description -Data Scientist

Key Responsibilities:
Develop, validate, and deploy predictive, prescriptive, and scoring models to power product features and business decisions.
Conduct deep-dive analyses to extract meaningful insights from complex and large datasets; identify key drivers, patterns, and opportunities.
Partner with the product management and data engineering teams to design and implement algorithms that directly impact customer experience and business growth.
Own end-to-end model lifecycle management, including:
Data preprocessing, feature engineering, model training
Validation, offline evaluation, and sensitivity analysis
Monitoring, drift detection, and iterative improvements
Make analytical and technical decisions on modeling trade-offs (accuracy, interpretability, scalability) and ensure outputs are aligned with business objectives.
Ensure machine learning models are explainable, reproducible, and aligned with business objectives.
Present findings and recommendations to key stakeholders in a explicit and actionable manner.




Drive experimentation through A/B testing and offline validation to evaluate model performance.
Stay up to date with emerging ML/AI techniques and proactively evaluate their applicability to business use cases.
Mentor and guide junior data scientists/analysts accelerating their technical growth and career development

Required Skills:
Robust foundation in Machine Learning, Statistical Modeling, and Applied Mathematics, with proven experience in real-world problem-solving.
Robust software engineering skills with proficiency in Python and R, including ML libraries (scikit-learn, XGBoost, PyTorch/TensorFlow for deep learning)
Solid experience with data preprocessing, feature engineering, and working with large structured and unstructured datasets.
Experience in building and deploying models such as: Scoring/response models, recommendation systems, forecasting, optimization, segmentation, causal inf

📌 Data Scientist Bengaluru
🏢 Iquanti
📍 Bengaluru