Senior Data Scientist

We’re seeking a highly skilled, execution-focused Senior Data Scientist with a minimum of 5 years of experience. This role demands hands-on expertise in building, deploying, and optimizing machine learning models at scale, while working with big data technologies and modern cloud platforms. You will be responsible for driving data-driven solutions from experimentation to production, leveraging advanced tools and frameworks across Python, SQL, Spark, and AWS. The role requires strong technical depth, problem-solving ability, and ownership in delivering business impact through data science. Responsibilities Design, build, and deploy scalable machine learning models into production systems. Develop advanced analytics and predictive models using Python, SQL, and popular ML/DL frameworks (Pandas, Scikit-learn, TensorFlow, PyTorch). Leverage Databricks, Apache Spark, and Hadoop for large-scale data processing and model training. Implement workflows and pipelines using Airflow and AWS EMR for automation and orchestration. Collaborate with engineering teams to integrate models into cloud-based applications on AWS. Optimize query performance, storage usage, and data pipelines for efficiency. Conduct end-to-end experiments, including data preprocessing, feature engineering, model training, validation, and deployment. Drive initiatives independently with high ownership and accountability. Stay up to date with industry best practices in machine learning, big data, and cloud-native deploy