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Job Summary: We are seeking a highly skilled and innovative Data Scientist to join our team and drive data-centric initiatives by leveraging AI/ML models , Big Data technologies , and cloud platforms like AWS . The ideal candidate will be proficient in Python , experienced in designing end-to-end machine learning pipelines, and comfortable working with large-scale data systems. Key Responsibilities: Design, develop, and deploy machine learning models and AI-based solutions for business problems. Build robust ETL pipelines to process structured and unstructured data using tools like PySpark , Airflow , or Glue . Work with AWS cloud services (e.g., S3, Lambda, SageMaker, Redshift, EMR) to build scalable data science solutions. Perform exploratory data analysis (EDA) and statistical modeling to uncover actionable insights. Collaborate with data engineers, product managers, and stakeholders to identify use cases and deliver impactful data-driven solutions. Optimize model performance and ensure model explainability, fairness, and reproducibility. Maintain and improve existing data science solutions through MLOps practices (e.g., model monitoring, retraining, CI/CD for ML). Required Skills and Qualifications: Bachelor’s or Master’s degree in Computer Science, Statistics, Data Science, or related field. 3+ years of experience in data science or machine learning roles. Strong programming skills in Python and experience with libraries like Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch . Show more Show less
