Data Scientist II
CommerceIQ (company site, opens in a new tab)3+ yrsBengaluruOn-siteDirect career pageEst. 14–24 LPA
Posted 1h ago
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Job description
Structured overview of role & requirements
About This Role
- Develop and deploy classical machine learning models to solve real-world business problems including customer churn, demand forecasting, recommendation systems, and fraud detection.
- Design and improve ML models using validation strategies, hyperparameter tuning, and feature engineering with measurable business impact.
- Collaborate cross-functionally to translate business requirements into scalable ML solutions and communicate results to technical and non-technical stakeholders.
Minimum Requirements
- 3+ years of hands-on experience in classical machine learning, data science, predictive or statistical modeling.
- Master's or Ph.D. in Computer Science, Machine Learning, Data Science, Statistics, Mathematics, Engineering, or equivalent practical experience.
- Proficiency in Python and ML libraries (e.g., Scikit-learn, XGBoost, LightGBM, CatBoost); experience with large datasets and tools like SQL, Spark/PySpark.
- Strong understanding and application experience of ML evaluation metrics (ROC-AUC, F1, RMSE, etc.), feature engineering, and model deployment.
Ideal Candidate Profile
- Experience building and operationalizing classical ML solutions aligned with business KPIs in domains like retail, CPG, or ecommerce.
- Skilled in selecting algorithms based on data characteristics and business needs with expertise in model explainability (SHAP, PDP) and addressing data quality challenges.
- Ability to mentor junior team members and work closely with product, engineering, and analytics stakeholders for impactful ML implementation.