Geospatial Developer

NV5 Geospatial is seeking a Junior Developer to support the Land Cover group in producing various land use and land cover (LULC) datasets. In this role, the Junior Developer will work under the direction of senior staff to design and implement machine learning based approaches for deriving features from a variety of remotely sensed data sources as well as to support the creation of automations to enhance workflows. The position requires critical thinking, effective communication, and the ability to accomplish objectives with minimal oversight. The Junior Developer should be comfortable working both individually and collaboratively as part of a team. Experience with remotely sensed imagery, geospatial data, and programming is required.

Work Environment:

Location is flexible, but preference given to Charleston, SC
• Travel < 10% of the time

NV5 is a global technology solutions and consulting services company with a workforce of over 4,500 professionals in more than 100 offices worldwide. NV5's continued growth has been spurred through strategic investments in firms with unique capabilities to help current and future customers solve the world's toughest problems. The NV5 family brings together talent across a wide range of markets and fields, including Professional Engineers, Professional Land Surveyors, Architects, Photogrammetrists, GIS Professionals, Software Developers, IT, Project Management Professionals, and more.

At NV5 Geospatial, We are a collaboration of intelligent, innovative thinkers who care for each other, our communities, and the environment. We value both heart and head, the diversity of our people, and their experiences because that is how we continue to grow as a leader in our industry and expand our individual and collective potential.

We expect qualified candidates to align with many of the items described below, but do not expect any single individual to fit the full list of responsibilities, knowledge, skills, abilities, and qualifications.

• Support the development of models and workflows for LULC data production
• Apply knowledge in machine learning, statistics and software engineering
• Process and analyze data from various remote sensing sources such as multispectral imagery and lidar
• Prepare documentation of observations, analyses and interpretations of results including summaries, protocols and quantitative analyses
• Provide other team members with accurate time estimates for task completion
• Coordination with other staff to ensure tasks are completed within estimated timeframe
• Identifies issues and/or efficiencies, brings these to the attention of appropriate team members, and as appropriate, helps develop and implement solutions
• Multitasks across several projects; if work balance becomes misaligned, brings this to the attention of appropriate managers for resolution
• Assists in procedural development of workflows and generating spatial model outputs
• Rigorous validation of models and quality control
• Coordinates and collaborates regularly with the technical leaders, project managers and project team members on progress

Competencies & Skills:

• Programming in Python and/or R for geospatial applications
• Demonstrated experience implementing machine learning algorithms such as regression, tree-based models, and/ or deep learning
• Reliability, good communication skills, and professionalism
• Ability to understand how data moves through a production pipeline
• Maintains good data management and file organization practices
• Understands best practices for model validation and evaluation
• Comfortable working in a team environment as well as independently with limited oversight
• Ability to learn from mistakes and take constructive criticism. Professional during times of stress
• Ability to train others using clear communication and constructive feedback

Requirements:

• Bachelor's degree, or equivalent experience
• 4+ years of experience in a professional work environment
• Coursework in Statistics, Data Science and/or Machine Learning
• Experience manipulating and analyzing remotely sensed data with Python (or R)
• Proficiency in MS Office Suite
• Hands on experience with geospatial data (raster and vector formats)
• Employment is contingent upon successful completion of a background check and drug screening.

Preferred Qualifications:

• Master's degree, or equivalent experience
• Experience working with relational databases using PostGRES/PostgeSQL
• Experience with Streamlit
• Experience with PyTorch, Scikit Learn, Scikit Image and Pandas
• Experience with Open-Source geospatial libraries such as GDAL, RasterIO and GeoPandas
• Experience with Land Use Land Cover data production
• Experience communicating with clients or other external stakeholders

NV5 offers a competitive compensation and benefits package including medical, dental, life insurance, PTO, 401(k) and professional development/advancement opportunities.

NV5 provides equal employment opportunities (EEO) to all applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws. NV5 complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including, but not limited to, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

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