Data Scientist

About Us: Website: [hidden] & [hidden] 5-8 yearsShift: ESTLocation: BangaloreMode: Hybrid Position Requirements Core (Must-Have) Skills• Proficiency in Python with advanced use of NumPy, Pandas, and Scikit-learn• Expertise in SQL, including complex queries and performance optimization• Strong foundation in machine learning techniques (regression, classification, clustering, ensemble methods)• Natural Language Processing (NLP), Large Language Models (LLMs), and Generative AI• MLOps practices (MLFlow, Kubeflow, CI/CD pipelines for ML workflows)• Experience in data visualization (Seaborn, Plotly, Tableau, or Power BI)• Applied knowledge of statistics and probability for model development• Hands-on experience with cloud-based ML platforms (AWS SageMaker, Azure ML, or GCP Vertex AI)• Exposure to large-scale data processing (Spark, Hadoop) Preferred Skills• Deep learning frameworks (TensorFlow, PyTorch)• Natural Language Processing (NLP), Large Language Models (LLMs), and Generative AI• MLOps practices (MLFlow, Kubeflow, CI/CD pipelines for ML workflows)• Data pipeline orchestration (Airflow, Prefect)• Business domain knowledge (e.g., retail, finance) Key Activities• Preparing and preprocessing structured and unstructured data for analysis• Designing, training, and validating machine learning models• Deploying and operationalizing models in collaboration with engineering teams• Building dashboards and data-driven visual insights for stakeholders• Partnering with product and engineering teams to align models with business needs• Monitoring, optimizing, and retraining models for performance improvements