Data Scientist II
- Salary
- Not disclosed
- Experience
- 3–6 years
- Eligible batches
- 2020 – 2023
- Degree
- M.Tech, PhD
- Location
- BengaluruOn-site
About the role
CommerceIQ is looking for a Data Scientist II to design, build, and ship classical machine‑learning models that power AI agents for leading consumer‑goods brands. Based in Bengaluru, you will work with large‑scale data pipelines, collaborate with product and engineering teams, and translate business challenges into measurable predictive solutions.
Responsibilities
- Develop, train, and deploy classical ML models for use‑cases such as churn prediction, demand forecasting, pricing, and recommendation.
- Perform end‑to‑end feature engineering, hyper‑parameter tuning, cross‑validation, and model evaluation using metrics like ROC‑AUC, RMSE, and F1.
- Maintain data pipelines in SQL and Spark/PySpark, ensuring data quality, transformation, and aggregation for model inputs.
- Monitor models in production, address drift, and iterate on improvements.
- Communicate model assumptions, results, and business impact to both technical and non‑technical stakeholders.
- Mentor junior data scientists or analysts and promote best practices in ML development.
Free interview prep
Prepare for the interview
Eligibility
- Minimum 3 years of hands‑on experience in classical machine learning or predictive modeling.
- Master's degree or Ph.D. in Computer Science, Machine Learning, Data Science, Statistics, Mathematics, Engineering, or a related discipline, or equivalent practical experience.
- Strong analytical mindset with ability to work on structured and unstructured data.
- Excellent communication and presentation skills.
Skills
- Python programming with Pandas, NumPy, and Scikit‑learn.
- Experience with XGBoost, LightGBM, CatBoost, and Statsmodels.
- SQL and Spark/PySpark for large‑scale data processing.
- Model evaluation, interpretability (SHAP, PDP), and deployment.
- Statistical methods, hypothesis testing, and time‑series analysis.
Resume keywords
Asked for
- Python
- Pandas
- NumPy
- Scikit-learn
- Xgboost
- Lightgbm
- Catboost
- SQL
- Spark
- PySpark
Nice to have
- Shap
- Pdp
- Statsmodels
- Model interpretability
- Mentoring
Benefits
- Opportunity to work on AI products used by Fortune‑100 brands.
- Collaborative cross‑functional environment.
- Continuous learning culture with exposure to cutting‑edge ML techniques.
You'll apply on job-boards.greenhouse.io
Apply link checked by CareersAt.Tech and re-tested nightly. You never pay to apply. Report listing
About CommerceIQ
CommerceIQ is an American ecommerce-channel-optimisation software company headquartered in Mountain View, California, that uses artificial intelligence and machine learning to automate retail operations, advertising, and supply-chain decisions for consumer-brand sellers on Amazon, Walmart, Target, Instacart, and other large online retailers.
Founded 2012 · 501-1000 employees · HQ Mountain View, California, United States
More about CommerceIQ
