Senior Data Scientist

About Coulomb AI

Battery Observability Platform for Electric Vehicles

Tech

- Complex Data Engineering - ML Models to be build for accuracy and performance of the vehicle - Real time deployment of Algorithms - Predictive Analytics

The role

## **About Coulomb** At Coulomb AI, we envision a future powered by the seamless integration of **AI** and **Battery Technologies**, creating a powerful synergy to combat **climate change**. We build category-leading software that can significantly improve battery lifespan and performance by employing advanced predictive analytics, real-time monitoring, and adaptive battery management algorithms. Coulomb is headquartered in San Francisco with its development and research center in Bangalore. Founders \[Khushboo Shrivastava\]\[1\] and \[Santanu Mondal\]\[2\] are alumni of IIT Bombay and have first-hand experience working on first-generation Electric Vehicles at General Motors. We are backed by some of the best climate tech investors in the world, including Y Combinator, Harvard Management Seed Capital, CSVE Ventures, and prominent Silicon Valley-based Angels. We already have a global presence with customers in 5 countries across UK, US, APAC and India ## **About the Role** Being part of the founding team, you will have the opportunity to shape the future of sustainable energy. If you are a data scientist with a passion for leveraging your skills to drive positive environmental change, we encourage you to apply and be a key player in shaping the future of electric transportation. ## **As a Senior Data Scientist, here’s what you’ll be doing** * Build novel predictive models on real-time data streams * Develop and deploy machine learning models at scale, navigating the challenges presented by large and complex datasets * Actively assist in building systems to continuously track model performance, ensuring models remain effective in dynamic environments * Communicate findings and insights to technical and non-technical stakeholders * Implement effective debugging tools and practices to diagnose and address performance issues or unexpected behaviors * Maintain up-to-date documentation on model maintenance procedures, troubleshooting guides, and best practices ## **We are excited about you because you have** * 3+ years of hands-on experience in data science, with a focus on Big Data Exploration, Summarization, and ML Deployment * Successfully delivered at least one product or pivotal feature, actively involved in business problem identification, researching, sourcing necessary data, and constructing data pipelines * Strong grasp of end-to-end data science practices, encompassing data cleaning, exploratory data analysis (EDA), feature engineering, model training, testing, and deployment using ML libraries and frameworks in Python * Adept at utilizing SQL for comprehensive analysis ## **You’ll be a great fit if additionally, you have** * Knowledge of big data technologies (e.g., Hadoop, Spark) and experience with distributed computing * Experience deploying ML models in production, including knowledge of model deployment and optimization * Previously worked in a startup environment and have a high degree of ownership and appetite for ambiguity Like being a part of a high-performing team focussed on fast-paced execution at the same time detail-oriented

Skills

• Python
• SQL
• Machine Learning
• Deep Learning
• Data Analytics