Job description

What Impact You'll Have GRVTY is seeking a motivated and experienced Data Scientist to perform data analysis via statistical and quantitative methods, develop visualizations to support decision making, and build software to enable thorough monitoring and management of data pipeline tasks. The ideal candidate brings deep expertise in data systems and a passion for solving complex analytical problems in support of Machine Learning model development and operational intelligence missions. This role will help accelerate the implementation of the NGA Maven Data Strategy and drive cross-departmental collaboration to enhance workflows and deliver greater productivity across labeling and imagery curation efforts. What You'll be Owning Integrate emerging sensors and platforms into existing data pipelines and workflows, including: Developing pipelines and relevant data structures for emerging capabilities Incorporating new data types into existing data workflows Assess potential differences in metadata, data format, and data structure characteristics regarding changes to: Databases and schemas APIs and other ETL-related processes Ingestion and movement of data within the existing data operations pipelines Conduct analysis of how emerging data impacts overall program data holdings from the perspective of: Machine Learning model development Test and evaluation use cases Real-world operational use cases Evaluate and recommend solutions for partitioning new data types into training, test, and validation splits for effective ML model development and performance evaluation Lead the design and application of methods to identify, collect, process, and analyze large volumes of data to build and enhance products, processes, and systems Lead projects using advanced mathematical, statistical, and scientific techniques to: Examine complex mission and operational problems Create insights from data Build web scraping algorithms for imagery curation in accordance with customer data priorities Integrate multiple data and intelligence sources in various formats for imagery curation to address gaps and meet project priorities Support data analytics, data cleansing, analyst workflow efficiencies, and ETL transformation capabilities Utilize statistical and analytic methods to support answering intelligence requirements and mission objectives Build and integrate analytic tools and algorithms for imagery curation, acquisition, and chipping Design methods and mechanisms to track, report, and monitor mission-specific objectives to maintain custody of training data priorities Build software tools to manage labeling campaigns, including: Tracking unlabeled and labeled data and campaign status Transferring label task information via API-based movement between platforms Build software tools to: Filter and visualize data geospatially Allow feedback entry and data analysis Integrate with existing data management platforms Conduct analysis of overall data holdings to support development of performant AI/ML models satisfying operational user requirements Evaluate, monitor, and provide recommendations on training, test, and validation data splits for effective model development and performance evaluation What You Must Have Active TS/SCI Clearance with the ability to obtain a CI/Poly Experience working with AI/ML technologies and data systems Experience working with multiple file types including: Geospatial file formats JSON, XML, and related formats Experience in quantitative analysis and data operations, including: Developing visualizations and processing complex data to create data-driven insights Data manipulation and ETL procedures Working knowledge of SQL and NoSQL database technologies Development experience in Python and other languages for data cleaning and manipulation What Would be Nice to Have Experience applying Natural Language Processing (NLP) algorithms to extract data from documents Experience with enterprise NGA analytic modernization efforts such as SOM, Computer Vision, automated collection, or automated reporting, along with data standardization best practices Demonstrated expertise in math, statistics, and quantitative analysis, including analytic techniques such as classification, regression, clustering, data reduction, and causal modeling Pay Range: At GRVTY, we understand that compensation is influenced by many factors—such as geographic location, federal contract labor categories, wage rates, prior experience, skillsets, education, and certifications. We’re proud to offer a work environment that empowers our team to achieve a strong work-life balance. GRVTY provides competitive pay, comprehensive benefits, and meaningful opportunities for professional growth. Our benefits package is designed to support the well-being of our employees and their families, and includes coverage in areas such as healthcare, financial wellness, retirement planning, family assistance, continued education, and paid time off. The pay range for this position is: $160,000 - $190,000 Pay Range: At GRVTY, we understand that compensation is influenced by many factors—such as geographic location, federal contract labor categories, wage rates, prior experience, skillsets, education, and certifications. We’re proud to offer a work environment that empowers our team to achieve a strong work-life balance. GRVTY provides competitive pay, comprehensive benefits, and meaningful opportunities for professional growth. Our benefits package is designed to support the well-being of our employees and their families, and includes coverage in areas such as healthcare, financial wellness, retirement planning, family assistance, continued education, and paid time off. Virginia Pay Range $160,000 — $190,000 USD Why Choose GRVTY The toughest national security challenges demand vision and ingenuity, not just resources. We deliver mission and technical expertise to outpace our adversaries. We’re purpose-built to tackle the most entrenched, systemic national security issues around the world. We partner with our customers to help them overcome challenges in every corner of technology and defense—including the ones still being explored. Our growing capabilities create complementary advantages, giving on-the-ground operations the edge they need to succeed. We muster everything we have to answer every challenge presented, every day of our lives. At GRVTY, we believe that when our employees thrive, our company thrives. That’s why we offer a comprehensive and competitive benefits package designed to support your well-being, growth, and work-life balance. • Robust health plan including medical, dental, and vision • Health Savings Account with company contribution • Annual Paid Time Off and Paid Holidays • Paid Parental Leave • 401k with generous company match • Training and Development Opportunities • Award Programs • Variety of Company Sponsored Events EEO Statement GRVTY, is an Equal Opportunity Employer.  All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran and will not be discriminated against on the basis of disability. Anyone requiring reasonable accommodations should email  recruiting@grvty.com  or call 703-544-7930 with requested details.  A member of the HR team will respond to your request within 2 business days.  Know Your Rights: Workplace Discrimination is Illegal (eeoc.gov)   Please review our current job openings and apply for the positions you believe may be a fit. If you are not an immediate fit, we will also keep your resume in our database for future opportunities.

Requirements

Must-haves

What Impact You'll Have
What You'll be Owning
Integrate emerging sensors and platforms into existing data pipelines and workflows, including:
Developing pipelines and relevant data structures for emerging capabilities
Incorporating new data types into existing data workflows
Assess potential differences in metadata, data format, and data structure characteristics regarding changes to:
Databases and schemas
APIs and other ETL-related processes
Ingestion and movement of data within the existing data operations pipelines
Conduct analysis of how emerging data impacts overall program data holdings from the perspective of:
Machine Learning model development
Test and evaluation use cases
Real-world operational use cases
Evaluate and recommend solutions for partitioning new data types into training, test, and validation splits for effective ML model development and performance evaluation
Lead the design and application of methods to identify, collect, process, and analyze large volumes of data to build and enhance products, processes, and systems
Lead projects using advanced mathematical, statistical, and scientific techniques to:
Examine complex mission and operational problems
Create insights from data
Build web scraping algorithms for imagery curation in accordance with customer data priorities
Integrate multiple data and intelligence sources in various formats for imagery curation to address gaps and meet project priorities
Support data analytics, data cleansing, analyst workflow efficiencies, and ETL transformation capabilities
Utilize statistical and analytic methods to support answering intelligence requirements and mission objectives
Build and integrate analytic tools and algorithms for imagery curation, acquisition, and chipping

Nice-to-haves

What Would be Nice to Have

Application prep

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Keywords to mirror

machine learningmlapiaisqlpython

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Dental

Vision

401k

Paid Time Off

Parental Leave

Wellness