company

Sr. Data Scientist - Public Sector

Engineering

Full-time

Description

Our mission is to understand what we’re doing on, and to, Earth. We do this through our cloud-based SaaS platform, Orbital Insight GO, pulling in multiple sources of raw data from the world’s sensors – including millions of daily satellite images and connected device pings – combined with proprietary AI to analyze economic, social, and environmental trends at scale. By making the Earth “searchable” our customers have been able to illuminate supply chains, track global commodities, monitor illegal deforestation, and further national security. We are building the best data science team in the world to innovate, implement, deploy, and support these capabilities.

As Data Scientists, we are data detectives and our job is difficult because although we have “Big Data,” we exist in a persistent state of spatio-temporal data starvation. The work is fast-paced, highly iterative, and continuously trading off between what works and what’s best. Along with our team of data scientists, you’ll work with product managers, solutions engineers, and software engineers to build data-driven products and solutions. If you enjoy working with data to build products and solve hard problems in creative ways, you will fit right in.

This position will be based in our Arlington, Virginia office but may require some work at customer sites in the DC area. Currently, Orbital Insight is fully remote (working from home) until the end of the year, due to COVID. Occasional travel to corporate headquarters in Palo Alto, California may be required (only applicable post COVID).

This position requires active TS clearance.

Responsibilities

  • Execute against initiatives on our Data Science R&D roadmap, including investigations of new models, architectures, and paradigms for advancing the state of the art in Data Science techniques for geospatial data
  • Develop new models and techniques to improve our core capabilities; interact directly with customers and incorporate feedback into our products
  • Communicate and publish research findings in a variety of media, including internal presentations, blog posts, patents, and papers
  • Report on research and other deliverables to key stakeholders across the Engineering and Product Management teams
  • Collaborate with other Data Scientists and Machine Learning Engineers to incorporate new techniques and models into our GO Platform
  • Design and implement methodologies and metrics for measuring and monitoring performance and active learning workflows to continuously improve our capabilities
  • Write proposals for new ideas in Data Science research that align with our company’s long-term roadmap
  • Work cross-functionally with software engineers to integrate data science models into production pipelines
  • Qualifications

  • Active TS Clearance required (must be willing to get TS/SCI with CI Poly)
  • Masters degree in a STEM field (e.g., statistics, machine learning, computer science, physics, engineering); PhD preferred
  • An ability to communicate complex data science concepts and results in a readily-understood manner
  • 3+ years of demonstrable experience working with large and noisy datasets, and particular experience with datasets that have nevertheless have sparsity in some dimension (e.g., spatially, temporally) would be a big plus
  • Demonstrable experience implementing efficient data science models and deploying them in a production environment
  • Excellent coding skills (python with a solid familiarity with NumPy, SciPy, pandas strongly preferred)
  • Experience with git, GitHub, SQL, AWS (S3 and EC2), Docker, and Unix/Linux a big plus
  • Additional Information

    Orbital Insight is a fast growing provider of geospatial data and geo­-analytic services to commercial, nonprofit and public sector clients across the globe. Leveraging advancements in computer vision and cloud computing, Orbital Insight is turning millions of images into a big picture understanding of the world that is quantitatively grounded in observation, creating unprecedented transparency, and empowering global decision makers with new sources of objective, quantified socio­-economic insights.

    We are backed by marquee investors such as Google Ventures, Sequoia Capital, In­-Q­- Tel and Bloomberg Beta, Orbital Insight is rapidly expanding its commercial and public sector capabilities. Come join us if you are unafraid to try new approaches and relentlessly seek to push the state of the art, taking projects all the way from prototype to production-ready.
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