Senior Data Scientist

We are looking for a Senior Data Scientist to drive Battery Smart’s Data Science, Machine Learning, and Applied AI initiatives.

This is a senior Individual Contributor (IC) role that requires strong hands-on technical expertise and end-to-end ownership of critical business problems and AI initiatives. The individual will be responsible for identifying high-impact opportunities, designing and developing advanced ML/AI solutions, and taking them from experimentation to production.

The role will own key areas of the Data Science and Applied AI roadmap, build scalable and production-grade ML and AI systems, and work closely with Product, Engineering, Operations, and Leadership to translate complex business problems into impactful, data-driven solutions., * Own end-to-end data science and machine learning solutions across demand forecasting, fraud detection, underwriting, driver behavior analysis, and network optimization.

• Design, build, deploy, and monitor time-series, geospatial, statistical, and real-time predictive models in production.
• Drive Applied AI and GenAI initiatives, including:
• LLM-based applications.
• RAG (Retrieval-Augmented Generation) pipelines.
• Embeddings, agent workflows, and decision-support systems.
• Use cases such as call transcript analysis, operations intelligence, and automated insights.
• Develop and implement Computer Vision solutions, including face recognition, OCR, misuse/fraud detection, and asset monitoring.
• Take complete technical ownership of projects-from problem definition and data acquisition to model development, deployment, monitoring, and performance optimization.
• Identify opportunities to leverage advanced analytics, machine learning, and AI to improve business outcomes, operational efficiency, and revenue.
• Build scalable, reliable, and production-ready ML/AI pipelines and systems, ensuring model performance, reliability, and continuous improvement.
• Work closely with Engineering teams to integrate ML/AI models into production applications and business workflows.
• Collaborate with Product, Engineering, Operations, and Leadership to understand business challenges and translate ambiguous requirements into scalable AI-driven solutions.
• Stay up to date with emerging developments in Machine Learning, Generative AI, and Applied AI, and evaluate their applicability to Battery Smart’s business use cases.
• Establish technical best practices around model development, experimentation, deployment, monitoring, and documentation.

• 3+ years of strong hands-on experience in Python and SQL (PySpark preferred).
• Proven experience in building ML models from scratch, including time-series forecasting, geospatial models, statistical modeling, and deep learning.
• Practical, production-level experience with LLMs, RAG architectures, and modern AI tooling.
• Hands-on exposure to Computer Vision models such as object detection, OCR, and facial recognition.
• Experience deploying and maintaining models using Docker and cloud environments (Kubernetes exposure is a plus).
• Strong understanding of real-time data processing frameworks and ML pipelines.
• Demonstrated ability to solve complex, ambiguous problems in a fast-scaling startup environment.
• Strong ownership mindset with experience leading and mentoring teams and collaborating cross-functionally.
• Experience working with IoT and geospatial data is a plus.

• This is not a research-only role-you will build, deploy, and scale AI systems that directly impact revenue, assets, and operational efficiency.
• Opportunity to own high-impact AI systems end-to-end in one of India’s fastest-growing EV infrastructure companies.
• Play a key role in shaping Battery Smart’s data science and applied AI culture, while mentoring future leaders in the team.

Battery Smart is India’s largest and fastest-growing battery-swapping network for electric two- and three-wheelers. Founded in 2019 and launched in 2020, we are changing the game in the EV sector by making electric mobility accessible, economical, and scalable through a unique partner-led model.

Today, we power the journeys of over 1 Lakh+ drivers daily through 1,600+ swap stations across India.