Senior Data Scientist
6 days ago
We are seeking a highly skilled Senior Data Scientist to join our team at the Society of Exploration Geophysicists. As a key member of our R&D team, you will play a critical role in driving innovation and advancing the state of the art in Data Science, Computer Vision, and Machine Learning techniques for geospatial data.
Key Responsibilities- Research and Development: Execute against initiatives on our R&D roadmap, including investigations of new approaches, architectures, and paradigms for advancing the state of the art in Data Science, Computer Vision, and Machine Learning techniques for geospatial data.
- Machine Learning Model Development: Develop Machine Learning models and techniques to improve our core capabilities.
- Collaboration and Communication: Work closely with product owners and incorporate customers' feedback into our products. Communicate and publish research findings in a variety of media, including internal presentations, blog posts, patents, and technical papers.
- Reporting and Stakeholder Management: Report on research and other deliverables to key stakeholders across the Engineering and Product Management teams.
- Methodology and Metrics Development: Work in a cross-functional team to incorporate new techniques and models into our platform. Implement methodologies and metrics for measuring and monitoring performance to continuously improve our capabilities.
- Business Development: Write proposals for new business problems that align with our company's goals.
- Machine Learning Experience: Must have designed, trained, and deployed Machine Learning models in production.
- Education: Masters degree in a STEM field (e.g., statistics, machine learning, computer science, physics, engineering); PhD preferred.
- Experience: 5+ years of demonstrable experience working with large and noisy datasets, and particular experience with datasets that have sparsity in some dimension (e.g., spatially, temporally) would be a big plus.
- Communication Skills: Ability to communicate complex concepts and results in a readily-understood manner to a wide audience.
- Leadership Experience: Proven ability to lead data scientists and engineers, and enable them to be successful in their role. Technical leadership experience is preferred.
- Technical Skills: Excellent coding skills (python with a solid familiarity with NumPy, SciPy, pandas strongly preferred). Expertise in machine learning, statistical modeling, and experiment design. A strong publication record in these areas is a huge plus.
- Technical Infrastructure: Experience with git, AWS (S3, EC2, etc.), Docker.
- Geospatial Expertise: Expertise in working with geospatial data and/or satellite imagery would be an asset.
- Computer Vision and Deep Learning: Experience working with Computer Vision and Deep Learning modeling is a plus.
- Synthetic Aperture Radar: Experience working with Synthetic Aperture Radar (SAR) is a plus.
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