Senior Data Scientist

• Analyze large and complex datasets to identify trends, patterns, and business insights.
• Design, develop, train, and deploy machine learning and predictive analytics models.
• Apply statistical techniques, hypothesis testing, regression, classification, and clustering.
• Develop AI/ML solutions using Python and relevant machine learning frameworks.
• Work with structured and unstructured data to solve complex business problems.
• Build and optimize data pipelines for data collection, preprocessing, and feature engineering.
• Implement deep learning models using TensorFlow, PyTorch, or Keras.
• Collaborate with data engineers, software developers, and business stakeholders.
• Deploy and monitor machine learning models in production environments.
• Communicate analytical findings and recommendations to technical and non-technical stakeholders.

We are looking for an experienced Senior Data Scientist with 10+ years of experience in designing, developing, and deploying advanced machine learning models, statistical solutions, and data-driven applications. The ideal candidate should have strong expertise in Python, machine learning, deep learning, statistical modeling, and big data technologies., * 10+ years of experience in Data Science, Machine Learning, and Advanced Analytics.

• Strong programming experience in Python, R, and SQL.
• Expertise in Machine Learning algorithms and statistical modeling.
• Hands-on experience with TensorFlow, PyTorch, Scikit-learn, and Keras.
• Experience with NLP, Deep Learning, and Predictive Analytics.
• Strong knowledge of data preprocessing, feature engineering, and model optimization.
• Experience working with large datasets and cloud platforms such as AWS, Azure, or Google Cloud Platform.
• Knowledge of Spark, Hadoop, Databricks, or other big data technologies.
• Experience with data visualization tools such as Tableau, Power BI, or Matplotlib.
• Understanding of MLOps, model deployment, model monitoring, and CI/CD pipelines., * Experience with Generative AI, Large Language Models (LLMs), and AI-powered applications.
• Knowledge of NLP frameworks, transformers, and prompt engineering.
• Experience with cloud-based machine learning services.
• Strong problem-solving, analytical, and communication skills.