Senior Data Scientist
7 days ago
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:
• Minimum 4 years of experience in Python, SQL, and MongoDB.
• Strong expertise in Deep Learning and Computer Vision, with hands-on experience in algorithms such as object detection, OCR, and facial recognition.
• Experience using Python libraries and frameworks such as NumPy, SciPy, Pandas, Scikit-learn, TensorFlow, and PyTorch.
• 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.
• Familiarity with deploying models in cloud environments using tools like Docker and Kubernetes.
• Experience working with geospatial IoT data would be a plus.
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