1. Job Title: Data Scientist  
2. Introduction/Overview: dynamic and growing organization, leverages data to drive decision-making and innovation, focused on solving complex business problems using advanced analytics, machine learning models, and AI-driven solutions, encourages a collaborative environment with creativity and learning at the core  
3. Roles & Responsibilities: develop, test, and deploy machine learning models for prediction, classification, and clustering tasks, perform data cleaning, transformation, and feature engineering, analyze large datasets using Python libraries such as Pandas, NumPy, Scikit-Learn, write complex SQL queries to extract and analyze data, build and evaluate predictive models including regression, decision trees, random forests, XGBoost, SVM, develop and optimize classification models, monitor and enhance model performance using metrics like precision, recall, AUC, accuracy, collaborate with data engineers, business analysts, and stakeholders, communicate insights through data visualizations and reports, stay updated with AI and LLM advancements, implement model management and deployment best practices using MLOps frameworks, deploy models and scale data solutions using Azure  
4. Years of Experience: 2-5 years  
5. Education Qualification: No Details Found  
6. Skills/Knowledge: Python, Pandas, NumPy, Scikit-Learn, Matplotlib, SQL, MySQL, PostgreSQL, regression models, decision trees, random forests, XGBoost, SVM, classification models, model performance metrics (precision, recall, AUC, accuracy), data visualization tools (Tableau, Power BI, Matplotlib, Seaborn), statistical methods, LLMs, NLP, AI frameworks (Transformers, OpenAI, Hugging Face), cloud platforms (AWS, Azure, GCP), TensorFlow, PyTorch, MLOps, Cosmos Scope scripts, Spark, Hadoop, Databricks, Azure Data Factory  
7. Key Competencies: problem-solving skills, ability to derive actionable insights from data, strong communication skills, ability to explain technical results to non-technical stakeholders, collaboration with cross-functional teams, staying current with AI and LLM trends, model management and deployment  
8. Domain/Industry: No Details Found  
9. Employment Type: No Details Found  
10. Company Overview: No Details Found  
11. Benefits & Opportunities: No Details Found  
12. Location & Travel: No Details Found