Sr Data Scientist with AI

Job Description

• Data Collection & Cleaning
  • Gather structured/unstructured data from databases, APIs, or external sources, then clean and preprocess it 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 techniques from Machine Learning and Artificial Intelligence to solve business problems like prediction, recommendation, or automation.
• Feature Engineering
  • Transform raw data into meaningful features that improve model performance.
• Model Evaluation & Optimization
  • Test models using metrics (accuracy, precision, recall, etc.) 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 using dashboards, reports, or presentations.

Key Skills Required

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 of 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 Fields Like
  • Computer Science
  • Data Science
  • Mathematics / Statistics
  • Engineering
• Certifications or hands-on projects in AI/ML are highly valued.