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Ursa is looking for skilled data scientists to join our growing team! We build ground-breaking solutions to satellite-based information for organizations around the world. There is a lot of cross-pollination here at Ursa. You will have the opportunity to work with a diverse team of highly-skilled developers and data scientists, working on a variety of projects. There are no egos here - we are looking for the best ideas and are eager to hear your input!

The ideal candidate will bring experience in a wide variety of data-driven solutions, including statistical modeling, descriptive and predictive analytics, algorithm validation, and product development.

Role and Responsibilities

  • Take the lead on data science projects and handle the development process from data definition all the way to model deployment, validation, and maintenance
  • Build models of all shapes and sizes to fit a variety of different project needs - flexibility is key!
  • Validate and evaluate algorithms designed to derive data from satellite images
  • Doing ad-hoc analysis and answering rapid questions from various stakeholders across the organization
  • Present findings to technical and nontechnical stakeholders using reports, slideshows, and interactive code
  • Integrate third party data sets into projects when needed
  • Learn and teach new technologies and skills to other members of the team
  • Work directly with product managers, image scientists, and other data scientists to creatively tackle hard problems


  • B.S. or M.S. in Statistics, Mathematics, Data Science, Computer Science, Information Science, Physics, or a related field
  • Strong knowledge of Python and associated data science libraries (e.g. Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, Keras, XGBoost, etc.)
  • Familiarity with various supervised regression and classification machine learning algorithms (e.g. linear/logistic regression, LDA, QDA, Naive Bayes, Neural Networks, boosting/bagging methods, etc.)
  • Familiarity with unsupervised and semi-supervised machine learning algorithms (various clustering techniques, KNN, SVM, PCA, Neural Networks, etc.)
  • Knowledge of visualization and presentation techniques including Matplotlib, Seaborn, Bokeh, RShiny, Tableau, Power BI, Jupyter Notebooks, etc.
  • Ability to evaluate machine learning and/or image processing algorithms with key performance metrics (e.g. RMSE, R-Squared, FPR/TPR, AUC/ROC, etc.)
  • Familiarity with software organizational tools and frameworks (e.g. Git, Docker, Anaconda, virtual environments, etc.)

Bonus Qualifications

  • Prior experience working with remote sensing data, especially synthetic aperture radar (SAR) data
  • Experience working with various database types (e.g. MySQL, NoSQL, Cassandra/Elassandra, MongoDB)
  • Knowledge of additional programming languages like R, SAS, SPSS, Java, C++, JavaScript, HTML, etc.
  • Strong experience in optimizing and deploying machine learning algorithms via speed improvements and/or hyperparameter tuning techniques
  • Familiarity with AWS S3, Microsoft Azure, Linux environments and EC2 instance development
  • Knowledge of reinforcement learning to tackle image data related problems
  • Prior usage of Confluence, Jira, and Miro is a plus!
  • PhD in related field (example fields listed above)

Locations - Varies; we are headquartered in Ithaca, NY, though we have a remote workforce in NY, PA, VA, MD, NM, CT, and CO.

US Persons Only – US Citizen or Permanent Resident

 We recommend you include: 

  • Cover letter
  • Resume
  • Code/git portfolio sample 
  • Any other personal projects you wish to share

We look forward to hearing from you!