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Remote Geospatial Data Scientist Jobs in Avon, CT

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Remote Geospatial Data Scientist information

See Avon, CT salary details

$36.9K

$120.8K

$193.3K

How much do remote geospatial data scientist jobs pay per year?

As of Sep 5, 2026, the average yearly pay for remote geospatial data scientist in Avon, CT is $120,769.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,900.00 and $133,800.00 per year, depending on experience, location, and employer.

What is a remote geospatial data scientist?

A Remote Geospatial Data Scientist is a professional who analyzes and interprets spatial data, such as maps, satellite imagery, and GPS data, to solve problems or provide insights, all while working from a location outside of a traditional office. They use statistical, mathematical, and programming skills to process large geospatial datasets and often collaborate with teams virtually. Their work can support a variety of industries, including environmental monitoring, urban planning, and logistics, by providing actionable geographic insights. Remote geospatial data scientists commonly use tools like GIS software, Python, and machine learning frameworks. Communication and collaboration tools are also essential for effective remote work.

What are the key skills and qualifications needed to thrive as a remote geospatial data scientist?

To thrive as a Remote Geospatial Data Scientist, you need a strong background in spatial analysis, statistics, and programming, typically supported by a degree in geography, computer science, or a related field. Experience with GIS software (such as ArcGIS or QGIS), remote sensing tools, and programming languages like Python or R is essential, along with familiarity with cloud-based data platforms. Strong problem-solving, self-motivation, and effective communication skills are vital for collaborating remotely and turning complex geospatial data into actionable insights. These skills enable professionals to efficiently interpret and analyze spatial data, deliver valuable solutions, and work effectively within distributed teams.

How do remote geospatial data scientists typically collaborate with multidisciplinary teams across different time zones?

Remote Geospatial Data Scientists often work with professionals in fields like environmental science, urban planning, and software engineering, many of whom may be distributed globally. Effective collaboration relies on clear communication, regular virtual meetings, and the use of shared platforms for data, code, and project management. Flexible scheduling and asynchronous communication tools are key to coordinating across time zones, ensuring that all team members can contribute to project milestones efficiently. Building strong documentation and leveraging collaborative GIS and data platforms further help streamline workflows and maintain project momentum in a remote environment.

What is the difference between Remote Geospatial Data Scientist vs Remote GIS Analyst?

AspectRemote Geospatial Data ScientistRemote GIS Analyst
Required CredentialsBachelor's/Master's in GIS, Geography, Data Science; experience with spatial analysisBachelor's in GIS, Geography, or related field; proficiency in GIS software
Work EnvironmentData analysis, modeling, programming, and spatial data interpretationMapping, data management, spatial data visualization
Employer & Industry UsageTech companies, environmental agencies, urban planningGovernment agencies, utilities, environmental firms
Common Search & ComparisonFocuses on data science and modelingFocuses on mapping and spatial data management

The Remote Geospatial Data Scientist primarily works on advanced spatial data analysis, modeling, and programming to extract insights from geospatial data. In contrast, the Remote GIS Analyst focuses on mapping, data management, and spatial visualization. Both roles require GIS knowledge but differ in their core responsibilities and skill sets.

What cities near Avon, CT are hiring for Remote Geospatial Data Scientist jobs?

Cities near Avon, CT with the most Remote Geospatial Data Scientist job openings:

Remote Geospatial Data Scientist jobs near you
Infographic showing various Remote Geospatial Data Scientist job openings in Avon, CT as of August 2026, with employment types broken down into 70% Full Time, 15% Temporary, and 15% Contract. Highlights an 100% Remote job distribution, with an average salary of $120,769 per year, or $58.1 per hour.

Data Scientist/AI

3B Staffing LLC

East Hartford, CT • Remote

Contractor

Re-posted 16 days ago

Job description

Data Scientist/AI **URGENT NEED**

Hartford, CT

REMOTE

6- Months contract to hire

US or GC Only

GC or Citizens only

On a side note - We need someone who is hands on coding especially with Google tech stack developing AI agents. Python and LangChain background with ability to develop AI agents using Google ADK (Agent Development Kit) and deploy on Vertex AI infrastructure. This resource should have a good understanding of Multi Agent Orchestrator with experience in Tool/API integrations to bring in data, RAG, Model Performance and feedback, Observability, security & Ethical AI etc;

Please forward profiles that match this criteria

Required Certifications/Education:

  • Master's degree in computer science, Artificial Intelligence, Machine Learning, or a related field. (Equivalent practical experience may be considered)
  • Relevant Certifications on AI, ML, GenAI and Agentic AI disciplines (at minimum 2-3 certifications are recommended) such as Agentic AI certifications/badges offered by leading industry course providers and platforms (like Courseera, Udemy, Deeplearning.AI etc.)

Required Skills & Experience:

  • Required 2+ years of experience developing and deploying GenAI/LLM powered applications/products
  • Required 1+ years of experience building Agentic AI systems, including planning, reasoning, and decision-making components.
  • Required proficiency in Python and relevant AI/ML libraries (e.g., TensorFlow, PyTorch, transformers, LangChain, LangGraph, Autogen, LLamaIndex etc.).
  • Required experience with Natural Language Processing (NLP) techniques, including text generation, understanding, and summarization.
  • Required experience with Reinforcement Learning (RL) algorithms and their application to agent training.
  • Required experience working with large datasets and cloud computing platforms (e.g., AWS, GCP, Azure, IBM, Salesforce).
  • Required experience with version control systems (e.g., Git).
  • Required strong communication and collaborative skills.
  • Required experience working in an Agile development environment.

Required Platform Experience (One or more of the following):

  • Required experience developing agents using Google ADK and deploy on VertexAI.
  • Required experience integrating AI models with enterprise IT systems.

Preferred Skills & Experience:

  • Preferred experience with prompt engineering and fine-tuning large language models.
  • Preferred experience with knowledge graphs and semantic reasoning.
  • Preferred experience with multi-agent systems and their coordination.
  • Preferred experience with explainable AI (XAI) techniques.
  • Preferred experience with MLOps and model deployment pipelines.
  • Preferred experience with containerization technologies (e.g., Docker, Kubernetes).
  • Preferred experience with Salesforce development tools (e.g., Force.com IDE, Apex Data Loader, AutoRABIT).
  • Preferred experience with IVR Technologies (e.g., Avaya, Cisco), Chatbot development, and other conversational AI platforms.
  • Preferred experience working in an onshore/offshore support model collaborating with offshore teams.
  • Preferred experience working with GitHub and other collaborative development platforms.

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