## **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
Visa sponsorship is offered for this role.
