Data Scientist

Key Responsibilities:

• Development and deployment of advanced data science solutions to enhance the battery-

swapping ecosystem.

• Design, build, and maintain machine learning pipelines, with a focus on time series

forecasting, anomaly detection, and real-time predictive analytics.

• Take end-to-end ownership of projects, from problem definition and data acquisition to

model deployment and performance monitoring.

• Collaborate cross-functionally with engineering, product, and business teams to align data

solutions with organizational goals.

• Communicate insights and recommendations effectively to both technical and non-technical

stakeholders.

Required Skills & Qualifications:

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

• Hands-on experience using Python libraries and frameworks such as NumPy, SciPy, Pandas,

and Scikit-learn.

• Proven expertise in handling time series data, geospatial data, and building predictive and

statistical models from scratch.

• Experience with real-time data processing frameworks such as PySpark.

• Demonstrated ability to solve complex, ambiguous challenges.

• Strong leadership skills, including team mentoring, project ownership, and cross-functional

collaboration.

• Previous experience in a fast-paced startup environment preferred.

• Knowledge of computer vision algorithms such as object detection, OCR, and facial

recognition.

• Familiarity with deploying models in cloud environments using tools like Docker and

Kubernetes.

• Experience working with geospatial IoT data would be a plus.