Senior Data Scientist

We are looking for a skilled and results-driven Senior Data Scientist with 3+ years of professional experience in data science, machine learning, artificial intelligence, and predictive analytics. The ideal candidate should have strong expertise in Python, machine learning frameworks, statistical modeling, and AI-powered tools, with the ability to transform complex datasets into actionable business insights.

The candidate will be responsible for developing, training, evaluating, and deploying machine learning models, leveraging modern AI tools and frameworks to build scalable, data-driven solutions. Experience with Generative AI, Large Language Models (LLMs), and cloud-based AI services will be considered a strong advantage.

Key Responsibilities

• Collect, clean, process, and analyze structured and unstructured datasets to identify patterns, trends, and business opportunities.
• Develop, train, evaluate, and optimize machine learning and deep learning models for real-world applications.
• Build predictive models, classification and regression systems, recommendation engines, and forecasting solutions.
• Use Python libraries such as Pandas, NumPy, Scikit-learn, Matplotlib, and Seaborn for data analysis, visualization, and model development.
• Work with machine learning and deep learning frameworks, including TensorFlow, PyTorch, and Keras.
• Leverage AI tools, Generative AI, LLMs, and prompt engineering techniques to develop intelligent applications and automate workflows.
• Apply statistical analysis, hypothesis testing, feature engineering, and model validation techniques to improve model performance.
• Develop data pipelines and integrate machine learning models into production applications through APIs and backend services.
• Collaborate with software engineers, data engineers, product managers, and business stakeholders to deliver AI-driven solutions.
• Monitor deployed models, evaluate performance, identify data drift, and implement improvements.
• Document technical processes, model architectures, experiments, and analytical findings.
• Stay updated with emerging AI technologies, machine learning methodologies, and industry best practices.