May Mobility is transforming cities through autonomous technology to create a safer, greener, more accessible world. They are seeking a Senior Data Scientist to extract critical insights from complex datasets, focusing on temporal and geospatial features, to develop sophisticated models for data-driven decision-making and integrate these models into production systems.
Requirements
- Deep expertise in temporal feature extraction techniques from time-series data
- Strong understanding and practical experience with geospatial data analysis, feature engineering, and spatial reasoning.
- Proficiency in designing and implementing algorithms for classification, clustering, and feature selection.
- Expertise in machine learning algorithms, including deep learning architectures relevant to sequential and spatial data.
- Strong programming skills in Python with extensive experience in data science libraries.
- Experience with big data frameworks such as PySpark for distributed data processing.
- Demonstrated experience in extracting and leveraging temporal and geospatial features from large, complex datasets, including sensor and video data.
Responsibilities
- Design, build, and implement advanced statistical and machine learning models to extract meaningful temporal features from sequential data.
- Develop and apply sophisticated techniques to derive and utilize geospatial features.
- Implement algorithms for auto-tagging, classification, and clustering of similar data points using a combination of temporal, geospatial, and other relevant features.
- Analyze, validate, and optimize models to ensure high accuracy and performance in real-world scenarios.
- Collaborate with engineering teams to integrate models into production systems and ensure scalability.
- Visualize and communicate complex data insights, model performance, and analytical findings to cross-functional teams and stakeholders.
- Write clean, efficient, and maintainable code, adhering to best practices for data science development.
Other
- 5+ years of hands-on experience as a Data Scientist with a strong focus on advanced analytics and machine learning.
- Proven track record of developing and deploying models for classification, clustering, and/or auto-tagging in production environments.
- Ability to work independently, manage multiple priorities, and thrive in a fast-paced, collaborative environment.
- Strong communication and presentation skills, with the ability to articulate complex technical concepts to diverse audiences.
- Background in robotics, autonomous systems, or computer vision, with an understanding of perception systems and their data outputs.
