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 robust 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 optimiz

📌 Senior Data Scientist (India)
🏢 Proximity Works
📍 India