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Senior Data Scientist - Python Programming Job Opening In Bengaluru – Now Hiring CIRRUSLABS PRIVATE LIMITED


Job description

<p><p><b>Description : </b><br/><br/>Experience : 6-8 years<br/><br/>Location : Bengaluru<br/><br/>We are looking for a Senior Data Scientist with 6-8 years extensive experience in designing, building, and evaluating machine learning models for diverse business use cases.

The role requires strong fundamentals in mathematics, statistics, and computer science with a focus on model interpretability, evaluation metrics, and production-readiness.<br/><br/>You will work on end-to-end data science projects from hypothesis formulation, feature engineering, and model selection to rigorous evaluation and deployment.<br/><br/><b>Key Responsibilities : </b><br/><br/><b>Core Modeling & Algorithmic Work : </b><br/><br/>- Develop and optimize models for classification, regression, clustering, forecasting, and recommendation systems.<br/><br/>Use a range of algorithms such as : <br/><br/>- Regression Models : Linear, Ridge, Lasso, ElasticNet, Quantile, Poisson, etc.<br/><br/>- Classification Models : Logistic Regression, Decision Trees, Random Forests, XGBoost, LightGBM, SVM, Neural Networks, etc.<br/><br/>- Unsupervised Learning : K-Means, DBSCAN, Hierarchical clustering, PCA, t-SNE, Autoencoders.<br/><br/>- Time Series & Forecasting : ARIMA, SARIMA, Prophet, LSTM, and hybrid models.<br/><br/>- Recommendation Systems : Collaborative filtering, Matrix factorization, Content-based and hybrid approaches.<br/><br/><b>Evaluation Metrics & Model Assessment : </b><br/><br/>- Select appropriate evaluation metrics based on business goals and problem types : <br/><br/>- Classification : Accuracy, Precision, Recall, F1-score, ROC-AUC, PR-AUC, Log Loss, Cohen's Kappa, Matthews Correlation Coefficient.<br/><br/>- Regression : RMSE, MAE, R2, Adjusted R2, MAPE, SMAPE.<br/><br/></p><p>- Forecasting : MSE, RMSE, MAPE, sMAPE, Theil's U statistic.<br/><br/>- Perform cross-validation, bootstrapping, and A/B testing for robust model validation.<br/><br/>- Monitor model drift, bias, and fairness across data slices.<br/><br/><b>Research & Experimentation : </b><br/><br/>- Stay current with research trends in ML, DL, and applied AI (e.g., transformer models, self-supervised learning, and causal inference).<br/><br/>- Conduct experiments to improve baseline models using new architectures or ensemble approaches.<br/><br/>- Document hypotheses, results, and model interpretation clearly for cross-functional collaboration.<br/><br/><b>Required Skills & Qualifications : </b><br/><br/>- Education : Master's or Bachelor's in Computer Science, Mathematics, Statistics, Data Science, or a related quantitative discipline.<br/><br/>- Experience : 67 years in core data science or applied ML, with end-to-end project ownership.<br/><br/>- Programming : Proficient in Python (pandas, NumPy, scikit-learn, statsmodels, XGBoost, LightGBM, TensorFlow/PyTorch).<br/><br/>- Data Handling : Strong in SQL and data wrangling with large-scale structured and unstructured datasets.<br/><br/>- Mathematics & Statistics : Excellent foundation in probability, linear algebra, optimization, and hypothesis testing.<br/><br/>- Model Evaluation : Proven expertise in selecting and interpreting metrics aligned to business goals.<br/><br/>- Visualization : Skilled in Matplotlib, Seaborn, Plotly, and storytelling with data-driven insights.<br/><br/>- Experience with MLOps, A/B testing, and data versioning tools (e.g., DVC, MLflow).<br/><br/><b>Nice to Have : </b><br/><br/>- Knowledge of causal inference, Bayesian modeling, and Monte Carlo simulations.<br/><br/>- Familiarity with transformer-based models (BERT, GPT, etc.) for NLP tasks.<br/><br/>- Hands-on experience with graph analytics or network science.<br/><br/>- Experience mentoring junior data scientists and reviewing model design.<br/><br/>- Exposure to cloud ML stacks (AWS Sagemaker, GCP Vertex AI, or Azure ML Studio).<br/><br/><b>Soft Skills : </b><br/><br/>- Strong analytical thinking and problem-solving orientation.<br/><br/>- Ability to balance scientific rigor with business pragmatism.<br/><br/>- Excellent communication - both technical and non-technical audiences.<br/><br/>- Curious, self-driven, and comfortable working in fast-paced environments.</p><br/></p> (ref:hirist.tech)

Required Skill Profession

Mathematical Science Occupations


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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at CIRRUSLABS PRIVATE LIMITED adheres to the cultural norms as outlined by Expertini.

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2. Loyalty

3. Impartiapty

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5. Accountabipty

6. Respect for human rights

7. Obeying India laws and regulations

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