Data Scientist to work on developing and refining statistical models and Machine Learning algorithms to address real-world challenges. You will collaborate with cross-functional teams to identify analytical needs, perform exploratory data analysis, and optimize model performance. The role also involves building and maintaining data pipelines, ensuring data quality, and staying up-to-date with emerging AI/ML technologies. If you are passionate about using data to solve impactful problems and transform urban mobility, join us in our mission to reduce traffic congestion and air pollution!
Key Responsibilities Collect, clean, and preprocess data from diverse sources to ensure quality and accuracy. Develop and refine statistical models and Machine Learning (ML) algorithms to solve real-world problems. Collaborate with cross-functional teams (e.g., data engineering, product, and business) to identify and understand analytical needs. Perform exploratory data analysis (EDA) to uncover patterns, trends, and relationships in datasets. Evaluate model performance using appropriate metrics, and iterate to optimize accuracy and efficiency. Document analyses, methodologies, and best practices to maintain clear records for future reference. Stay up-to-date with emerging AI/ML technologies and actively explore new approaches—especially in the areas of deep learning, Generative AI, and Large Language Models (LLMs). Present findings and insights to both technical and non-technical stakeholders in a clear, concise manner.
Qualifications Design and Build Data Pipelines: Assist in the development of reliable, efficient ETL (Extract, Transform, Load) and/or ELT pipelines that move data from a variety of internal and external sources into data storage systems. Data Integration and Collaboration: Work closely with data scientists, data analysts, and software engineers to ensure data is readily available and properly structured for analysis and modeling. Data Quality and Validation: Implement quality checks, error handling, and monitoring processes to ensure the reliability and accuracy of data. Optimize Performance: Contribute to the optimization of data pipelines and database queries to handle high-volume data and achieve better performance and scalability. Maintain Documentation: Develop and maintain technical documentation for data systems, pipelines, and processes to keep the team aligned and informed. Security and Compliance: Support efforts to ensure secure data handling and compliance with relevant regulations and industry best practices. Continuous Learning and Innovation: Stay informed about emerging data engineering tools, techniques, and technologies; share learnings with the team; and implement improvements where applicable
We assure you
Be a part of an innovative company that values professional growth, trustworthy colleagues, a fun environment in the office, and well-being for the employees
Work on impactful HR strategies that directly shape the workforce and make positive contributions to the business
A culture that fosters growth, integrity, and Innovation
Pay: ₹603,308.03 - ₹1,980,971.98 per year
Experience:
- Data Scientist: 5 years (Required)
Location:
- Bengaluru, Karnataka (Required)
Work Location: In person
