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Manager Geospatial Project Jobs in Massachusetts

Coordinate closely with project managers to meet clientspecific requirements in both field and ... CHA's Survey Geospatial team is shaping mobility and infrastructure? Explore our work at ...

Field Data Collection Technician

Wakefield, MA · On-site

$20.75 - $28.50/hr

We build intelligent GIS and asset management solutions that help municipalities and engineering ... Ensure both delivery and quality objectives are met on projects. * Work, collaborate and ...

... management, contributing to data analysis and engineering software while collaborating with project ... geospatial and/or spatio-temporal data Company : STR is built on people & technology platforms ...

... management. The Role: As a Senior Research Scientist at STR, you will help develop disruptive ... Expertise working with time series, geospatial, and/or spatio-temporal data Pay Information ...

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Manager Geospatial Project information

What are the key skills and qualifications needed to thrive as a Manager Geospatial Project, and why are they important?

To thrive as a Manager Geospatial Project, you need expertise in GIS technologies, project management, and spatial data analysis, typically supported by a degree in geography, GIS, or a related field. Familiarity with software such as ArcGIS, QGIS, remote sensing tools, and certifications like PMP or GISP is highly advantageous. Strong leadership, communication, and problem-solving skills help manage teams and collaborate with stakeholders effectively. These skills and qualifications are crucial to delivering complex geospatial projects on time, within scope, and in alignment with organizational goals.

What are some of the typical challenges a Manager Geospatial Project might face when overseeing multidisciplinary teams?

As a Manager Geospatial Project, you often coordinate teams with diverse expertise, including GIS analysts, developers, engineers, and data scientists. One key challenge is aligning technical goals and timelines across these disciplines while ensuring effective communication. You'll also need to manage project scope changes and integrate various data sources, which can require creative problem-solving and adaptability. Building strong collaborative relationships and setting clear expectations are essential for delivering successful geospatial solutions on time and within budget.

What does a Manager Geospatial Project do?

A Manager Geospatial Project oversees projects that involve the collection, analysis, and visualization of geographic or spatial data. They lead teams of GIS specialists, analysts, and technicians to deliver mapping solutions for various industries such as urban planning, environmental management, and infrastructure development. Their responsibilities include project planning, resource allocation, client communication, and ensuring the timely completion of deliverables while maintaining data quality and accuracy. Additionally, they stay updated on the latest geospatial technologies and best practices to optimize project outcomes.
What are popular job titles related to Manager Geospatial Project jobs in Massachusetts? For Manager Geospatial Project jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Manager Geospatial Project jobs in Massachusetts look for? The top searched job categories for Manager Geospatial Project jobs in Massachusetts are:
What cities in Massachusetts are hiring for Manager Geospatial Project jobs? Cities in Massachusetts with the most Manager Geospatial Project job openings:
Lead Research Scientist - Machine Learning (Clearance Required)

Lead Research Scientist - Machine Learning (Clearance Required)

STR

Woburn, MA • On-site

Full-time

Re-posted 9 days ago


Job description

Job Summary:
STR is a technology company specializing in advanced research and development for defense, intelligence, and national security. As a Lead Research Scientist, you will develop AI/ML algorithms for signals exploitation and system resource management, leading project teams and interacting with customers to solve high-impact problems.
Responsibilities:
• Help develop disruptive technologies focused on signals exploitation, estimation theory, system resource management, and systems analysis.
• Lead the development of cutting-edge AI/ML algorithms for novel application domains and modalities.
• Participate on and lead project teams, and interact with customers.
• Explore fascinating datasets, develop cutting-edge algorithmic techniques, and solve high-impact, unique problems for our customers.
Qualifications:
Required:
• Active Top Secret Clearance Required with SCI eligibility, for which U.S citizenship is needed by the U.S government
• MS with at least 8 years of experience, and/or PhD with at least 5 years of experience (or equivalent experience) in a scientific field such as applied math, physics, electrical engineering, computer science, or data science
• Experience building neural networks using standard deep learning tools (e.g., PyTorch, JAX, TensorFlow), including implementing new layers/network architectures, model training, hyperparameter tuning, and ablation studies
• Experience adapting novel machine learning approaches (e.g., from academic literature) to new data sets and problems
• Experience with standard data science tools such as scikit-learn, Pandas, and Matplotlib
• Proficiency in one or more programming languages: Python, C/C++
• Able to work, collaborate on, and lead multi-disciplinary teams
• Able to communicate technical foundations of models and algorithms to technical and non-technical audiences
• Experience in intelligence or military-related mission areas
Preferred:
• Experience applying deep learning to domains other than images/text, such as time series, discrete event sequence, or geospatial
• Experience with self-supervised machine learning
• Expertise working with time series, geospatial, and/or spatio-temporal data
Company:
STR is built on people & technology platforms tackling tough problems in cybersecurity, distributed sensing & artificial. Founded in 2010, the company is headquartered in Woburn, USA, with a team of 501-1000 employees. The company is currently Late Stage.