Senior Data Scientist - Machine Learning Models

Description :Were 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 deployments.Requirements :- Minimum 5 years of experience in Data Science or Applied Machine Learning.- Strong proficiency in Python, SQL, and ML libraries (Pandas, Scikit-learn, TensorFlow, PyTorch).- Proven expertise in deploying ML models into production systems.- Experience with big data platforms (Hadoop, Spark) and distributed data processing.- Hands-on experience with Databricks, Airflow, and AWS EMR.- Strong knowledge of AWS cloud services (S3, Lambda, SageMaker, EC2, etc.).- Solid understanding of query optimization, storage systems, and data pipelines.- Excellent problem-solving skills, with the ability to design scalable solutions.- Strong communication and collaboration skills to work in cross-functional teams. (ref:hirist.tech)