Data Scientist

Key Responsibilities:

- Contribute to developing and deploying data science solutions to enhance the battery-swapping ecosystem.

- Assist in designing and maintaining machine learning pipelines, focusing on time series forecasting, anomaly detection, and real-time predictive analytics.

- Own specific tasks and projects from problem definition to model evaluation and deployment.

- Collaborate with cross-functional teams to align data-driven solutions with organizational goals.

- Communicate insights effectively to both technical and non-technical stakeholders.

- Work in a collaborative environment with opportunities for mentoring and growth.

Required Skills & Qualifications:

- 2-4 years of experience with Python, SQL, and MongoDB.

- Hands-on experience with Python libraries such as NumPy, Pandas, and Scikit-learn.

- Experience with time series data and predictive modeling.

- Familiarity with real-time data processing (e.g, PySpark).

- Strong problem-solving skills and effective communication.

- Experience in fast-paced or startup environments is a plus.

- Knowledge of computer vision techniques (e.g, object detection, OCR) is an advantage.

- Experience with cloud technologies and model deployment (Docker, Kubernetes) is a plus.

- Exposure to geospatial IoT data is beneficial.