GAMA-1 Technologies seeks a highly motivated, customer-oriented remote Senior Earth Observation Data Scientist with AI/ML expertise to join our team. The successful candidate will have extensive applied experience using machine learning to analyze patterns within the National Oceanic and Atmospheric Administration’s (NOAA) Earth observation data, including metadata, ISO/UMM data standards, HDF5/ZARR data formats, and other science and/or environmental data formats. The ideal candidate will have a strong background in data analysis, with experience working in a software engineering or research environment. In this role, you will oversee data analysis from NOAA and NASA and develop data-driven analytic solutions using machine learning (ML) and artificial intelligence (AI).
This is a strategically important position that will work with multiple government teams across the agency to help lead scientific data analytics and help with the cross-functional execution of critical projects within the program. Responsibilities include advancing GAMA-1’s & NOAA’s use in digital transformation Artificial Intelligence (AI) and Machine Learning (ML) techniques, working with the enterprise stakeholders as they tackle data management, integration, dissemination, warehousing, and governance to manage the complexity of critical mission data for actionable insights and decision making. In this role, you should be highly analytical and knowledgeable in analysis, math, and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine learning and research.
As a key Earth Observation Data Analyst within the company, it is required for the candidate to attend and play a strategic role in our bi-monthly and as-needed Digital Transformation and Data Management Center of Excellence (DT-DM CoE) in-house and customer-facing strategy, business development, and solutions working sessions. These working sessions are designed to drive digital, data-enabled IT and business transformation for our customers. The candidate will act as a Senior Data Analyst cross-functional and cross-organizational member of the DT-DM CoE group, which includes decision-makers and doers setting digital data transformation policy, guiding provider selection, and assisting with solution architecture and workload placement, with an eye on improving outcomes and managing risks. As well as working closely with business development to develop data stewardship and data analysis solutions for proposals and work assignments. As a member, you must incorporate innovative and best practices in data analytics, exploration leadership, and digital transformation culture insights that help solve complex problems and deliver data analytics modernization services to the group.
Develop and implement comprehensive & innovative data analytics strategies to extract valuable insights to ensure NOAA can disseminate meaningful earth observation data to their customers, accelerating the speed and accuracy.
This is an exciting opportunity to work with cutting-edge technologies and make a significant impact in the field of data management and analysis. We encourage you to apply for this position if you are a passionate and innovative data leader with the required qualifications.
GAMA-1 is a rapidly growing technology business that is based in Greenbelt, Maryland. GAMA-1 Technologies provides strategic information assurance, information security, and business enterprise and networking solutions to the Federal Government. Our success is based on the utilization of industry and agency standards, establishment of standardized processes, and IT Services expertise. At GAMA-1, we believe employees should grow, achieve, and develop just as the company grows, achieves, and develops. GAMA-1 is committed to providing our employees with opportunities for career advancement throughout their employment. For more information, visit www.gama1tech.com
GAMA-1 is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.
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