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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.
Job Responsibility
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
Requirements
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
Nice to 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