Required Qualifications- Bachelors or Masters degree in Computer Science, Statistics, Mathematics, Data Science, Engineering, or a related field. PhD is a plus.- Proven experience (5 years) in building, refining, and deploying machine learning/statistical models in a skilled setting.- Strong programming skills in Python, R, or similar languages, with proficiency in machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch, XGBoost).- Solid understanding of data structures, algorithms, and software engineering principles.- Experience with cloud platforms (e.g., AWS, Azure, GCP) and model deployment tools (e.g., Docker, Kubernetes, MLflow) is highly desirable.- Mandate with DWH technology (Snowflake) and database systems (SQL/NoSQL).- Strong grasp of statistical concepts, hypothesis testing, and experimental design.- Excellent problem-solving skills, with the ability to break down complex issues into actionable tasks.- Outstanding communication skills, with the ability to convey complex technical concepts to non-technical audiences.- Demonstrated ability to thrive in a collaborative, fast-paced environment.- We are seeking a seasoned Data Scientist to join our high-impact analytics team in Bangalore. In this role, you will bridge the gap between complex data architecture and actionable business strategy, working closely with cross-functional product managers, engineering teams, and senior stakeholders to solve high-stakes problems.- Your day-to-day will involve designing sophisticated machine learning models, optimizing production pipelines, and translating data-driven insights into tangible business growth.



- By leveraging cutting-edge AI frameworks, you will directly influence product roadmaps and enhance user experiences, ensuring our solutions remain at the forefront of the industry.Preferred Qualifications- Experience in deploying models into real-time or high-availability production environments.- Familiarity with MLOps practices and tools.- Knowledge of data visualisation tools (e.g., Tableau, Power BI, Plotly, Dash).- Experience with CI/CD pipelines for ML projects.- Domain expertise in areas such as Energy, Billing & Invoicing, user behavioural analytics. Required Qualifications- Bachelors or Masters degree in Computer Science, Statistics, Mathematics, Data Science, Engineering, or a related field. PhD is a plus.- Proven experience (5 years) in building, refining, and deploying machine learning/statistical models in a professional setting.- Strong programming skills in Python, R, or similar languages, with proficiency in machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch, XGBoost).- Solid understanding of data structures, algorithms, and software engineering principles.- Experience with cloud platforms (e.g., AWS, Azure, GCP) and model deployment tools (e.g., Docker, Kubernetes, MLflow)



is highly desirable.- Mandate with DWH technology (Snowflake) and database systems (SQL/NoSQL).- Strong grasp of statistical concepts, hypothesis testing, and experimental design.- Excellent problem-solving skills, with the ability to break down complex issues into actionable tasks.- Outstanding communication skills, with the ability to convey complex technical concepts to non-technical audiences.- Demonstrated ability to thrive in a collaborative, fast-paced environment.- We are seeking a seasoned Data Scientist to join our high-impact analytics team in Bangalore. In this role, you will bridge the gap between complex data architecture and actionable business strategy, working closely with cross-functional product managers, engineering teams, and senior stakeholders to solve high-stakes problems.- Your day-to-day will involve designing sophisticated machine learning models, optimizing production pipelines, and translating data-driven insights into tangible business growth. - By leveraging cutting-edge AI frameworks, you will directly influence product roadmaps and enhance user experiences, ensuring our solutions remain at the forefront of the industry.Preferred Qualifications- Experience in deploying models into real-time or high-availability production environments.- Familiarity with MLOps practices and tools.- Knowledge of data visualisation tools (e.g., Tableau, Power BI, Plotly, Dash).- Experience with CI/CD pipelines for ML projects.- Domain expertise in areas such as Energy, Billing & Invoicing, user behavioural analytics.

📌 Gilbarco Veeder Root - Data Scientist (Bengaluru)
🏢 GILBARCO VEEDER ROOT INDIA PRIVATE
📍 Bengaluru