Sr Data Scientist with AI(FT role- NO OPT/CPT)

• Data Collection & Cleaning: Gather structured/unstructured data from databases, APIs, or external sources; clean and preprocess for analysis.
• Exploratory Data Analysis (EDA): Identify patterns, trends, and anomalies using statistical techniques and visualization tools.
• Model Development: Build and train machine learning or AI models (e.g., regression, classification, clustering, deep learning).
• AI/ML Implementation: Apply ML and AI techniques to solve business problems (e.g., prediction, recommendation, automation).
• Feature Engineering: Transform raw data into meaningful features to improve model performance.
• Model Evaluation & Optimization: Test models using metrics (accuracy, precision, recall) and improve them.
• Deployment & Monitoring: Work with engineers to deploy models into production and monitor performance over time.
• Communication: Translate complex results into actionable insights for stakeholders via dashboards, reports, or presentations.

Technical Skills

• Programming: Python, R, SQL
• Libraries/Frameworks: TensorFlow, PyTorch, Scikit-learn
• Data Visualization: Matplotlib, Seaborn, Power BI, Tableau
• Big Data Tools: Spark, Hadoop
• Knowledge: Statistics and Linear Algebra

AI-Specific Skills

• Deep learning, NLP, computer vision
• Understanding of neural networks and optimization techniques
• Familiarity with model deployment (MLOps basics)

Education & Background

• Bachelor's or Master's in: Computer Science, Data Science, Mathematics/Statistics, or Engineering
• Certifications or hands-on projects in AI/ML are highly valued