Urgent! Brillio - Data Scientist - Classic Machine Learning Job Opening In Hyderabad – Now Hiring Brillio Technologies Pvt. Ltd
<p>About the Role:<br/><br/>We are seeking an experienced Data Scientist with strong expertise in Classic Machine Learning techniques to join our team.
The ideal candidate will have a proven track record of designing, building, and deploying predictive/statistical models, with a deep understanding of algorithms such as regression, tree-based methods, boosting, clustering, and time-series forecasting.
This role requires someone who can combine statistical rigor, machine learning expertise, and business acumen to generate actionable insights and solve complex problems.<br/><br/>Key Responsibilities:<br/><br/>Data Exploration & Analysis:<br/><br/>- Gather, clean, and analyze large datasets from multiple sources.<br/><br/>- Perform statistical analysis and hypothesis testing to identify trends, patterns, and relationships.<br/><br/>Model Development & Implementation:<br/><br/>- Build, validate, and deploy models using Classic ML techniques:<br/><br/>Regression: Linear, Logistic:<br/><br/>- Tree-based & Ensemble Models: Random Forest, Gradient Boosting, XGBoost, LightGBM<br/><br/>- Clustering & Unsupervised Learning: K-Means, Hierarchical Clustering<br/><br/>- Statistical & Predictive Modelling for business use cases<br/><br/>- Develop Time-Series Forecasting Models (ARIMA, SARIMA, Prophet, ETS, etc.) for demand, sales, or trend prediction.<br/><br/>Performance Optimization:<br/><br/>- Conduct feature engineering, model tuning, and hyperparameter optimization.<br/><br/>- Evaluate models using statistical metrics (AUC, RMSE, MAE, R- , Precision/Recall, etc.).<br/><br/>Business Problem Solving:<br/><br/>- Translate business problems into analytical frameworks.<br/><br/>- Provide data-driven recommendations to stakeholders for strategic and operational decisions.<br/><br/>Collaboration & Deployment:<br/><br/>- Work with data engineers to ensure scalable data pipelines.<br/><br/>- Collaborate with cross-functional teams (Product, Marketing, Operations, Engineering).<br/><br/>- Deploy models into production and monitor performance.<br/><br/>Required Skills & Experience:<br/><br/>- Education: Master's or Bachelor's in Computer Science, Statistics, Mathematics, Data Science, or related field.<br/><br/>- Experience: 7+ years in Data Science with a strong focus on Classic Machine Learning and Statistical Modelling.<br/><br/>Technical Expertise:<br/><br/>- Hands-on experience with algorithms: Logistic Regression, Linear Regression, Random Forest, Gradient Boosting, XGBoost, LightGBM, K-Means, ARIMA/SARIMA.<br/><br/>- Strong background in statistical analysis, hypothesis testing, and predictive modelling.<br/><br/>- Experience in time-series forecasting and trend analysis.<br/><br/>Programming & Tools:<br/><br/>- Proficiency in Python (NumPy, Pandas, Scikit-learn, Statsmodels, PyCaret, etc.) and/or R.
SQL for data querying.<br/><br/>- Familiarity with big data platforms (Spark, Hadoop) is a plus.<br/><br/>- Exposure to cloud ML platforms (AWS Sagemaker, Azure ML, GCP Vertex AI) preferred.<br/><br/>Other Skills:<br/><br/>- Strong problem-solving, critical thinking, and communication skills.<br/><br/>- Ability to explain complex models and statistical results to non-technical stakeholders.<br/><br/>Good to Have:<br/><br/>- Exposure to deep learning concepts (not mandatory, but an added advantage).<br/><br/>- Experience in MLOps practices - CI/CD for ML, model monitoring, model drift detection.<br/><br/>- Knowledge of domain-specific applications (finance, healthcare, retail, supply chain).</p> (ref:iimjobs.com)
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Real-time Brillio Data Jobs Trends in Hyderabad, India (Graphical Representation)
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Great news! Brillio Technologies Pvt. Ltd is currently hiring and seeking a Brillio Data Scientist Classic Machine Learning to join their team. Feel free to download the job details.
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The fundamental ethical values are:The average salary range for a Brillio Data Scientist Classic Machine Learning Jobs India varies, but the pay scale is rated "Standard" in Hyderabad. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
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