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Brillio - Data Scientist - Classic Machine Learning
Brillio - Data Scientist - Classic Machine LearningBrillio Technologies Pvt. Ltd • Hyderabad, India
Brillio - Data Scientist - Classic Machine Learning

Brillio - Data Scientist - Classic Machine Learning

Brillio Technologies Pvt. Ltd • Hyderabad, India
30+ days ago
Job description

About the Role :

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.

Key Responsibilities :

Data Exploration & Analysis :

  • Gather, clean, and analyze large datasets from multiple sources.
  • Perform statistical analysis and hypothesis testing to identify trends, patterns, and relationships.

Model Development & Implementation :

  • Build, validate, and deploy models using Classic ML techniques :
  • Regression : Linear, Logistic :

  • Tree-based & Ensemble Models : Random Forest, Gradient Boosting, XGBoost, LightGBM
  • Clustering & Unsupervised Learning : K-Means, Hierarchical Clustering
  • Statistical & Predictive Modelling for business use cases
  • Develop Time-Series Forecasting Models (ARIMA, SARIMA, Prophet, ETS, etc.) for demand, sales, or trend prediction.
  • Performance Optimization :

  • Conduct feature engineering, model tuning, and hyperparameter optimization.
  • Evaluate models using statistical metrics (AUC, RMSE, MAE, R- , Precision / Recall, etc.).
  • Business Problem Solving :

  • Translate business problems into analytical frameworks.
  • Provide data-driven recommendations to stakeholders for strategic and operational decisions.
  • Collaboration & Deployment :

  • Work with data engineers to ensure scalable data pipelines.
  • Collaborate with cross-functional teams (Product, Marketing, Operations, Engineering).
  • Deploy models into production and monitor performance.
  • Required Skills & Experience :

  • Education : Master's or Bachelor's in Computer Science, Statistics, Mathematics, Data Science, or related field.
  • Experience : 7+ years in Data Science with a strong focus on Classic Machine Learning and Statistical Modelling.
  • Technical Expertise :

  • Hands-on experience with algorithms : Logistic Regression, Linear Regression, Random Forest, Gradient Boosting, XGBoost, LightGBM, K-Means, ARIMA / SARIMA.
  • Strong background in statistical analysis, hypothesis testing, and predictive modelling.
  • Experience in time-series forecasting and trend analysis.
  • Programming & Tools :

  • Proficiency in Python (NumPy, Pandas, Scikit-learn, Statsmodels, PyCaret, etc.) and / or R. SQL for data querying.
  • Familiarity with big data platforms (Spark, Hadoop) is a plus.
  • Exposure to cloud ML platforms (AWS Sagemaker, Azure ML, GCP Vertex AI) preferred.
  • Other Skills :

  • Strong problem-solving, critical thinking, and communication skills.
  • Ability to explain complex models and statistical results to non-technical stakeholders.
  • Good to Have :

  • Exposure to deep learning concepts (not mandatory, but an added advantage).
  • Experience in MLOps practices - CI / CD for ML, model monitoring, model drift detection.
  • Knowledge of domain-specific applications (finance, healthcare, retail, supply chain).
  • (ref : iimjobs.com)

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