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Remote Data Scientist Jobs in Wallingford, CT (NOW HIRING)

LT Apparel Group

Data Analyst

Milford, CT · Remote

$22 - $28/hr

Remote (U.S. Based Preferred) Job Type: Part-Time (Flexible Hours) Pay: $22-$28 per hour (based on experience) Company: LT Apparel Group About the Role LT Apparel Group is hiring a remote Data ...

Tiger Analytics Inc.

GenAI Data Engineer

Hartford, CT · Remote

$117K - $140K/yr

Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from ...

Tiger Analytics Inc.

GenAI Data Engineer

Hartford, CT · On-site +1

$115K - $138K/yr

Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from ...

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All JobsData Scientist JobsRemote Data Scientist JobsRemote Data Scientist Jobs in Wallingford, CT

Remote Data Scientist information

See Wallingford, CT salary details

$37.6K

$123.1K

$197K

How much do remote data scientist jobs pay per year?

As of Sep 5, 2026, the average yearly pay for remote data scientist in Wallingford, CT is $123,074.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,800.00 and $136,400.00 per year, depending on experience, location, and employer.

What is a remote data scientist?

Remote data scientists are professionals who analyze and interpret complex data while working outside of a traditional office environment, typically from home or another remote location. They use statistical methods, machine learning, and programming to extract insights from data, helping organizations make data-driven decisions. Remote data scientists collaborate with teams virtually, often using tools for communication, data analysis, and project management. This flexible work arrangement allows for talent from anywhere to contribute to companies worldwide, provided they have reliable internet and the necessary technical skills.

What does a remote data scientist do?

Remote data scientists collect, confirm, and interpret data to determine useful information for their employer. Unlike in-house data scientists, remote data scientists work outside the office, either from home or another location with Wi-Fi accessibility. Remote data scientists help organizations identify patterns and trends in their data to provide information about lucrative opportunities, necessary improvements, and potential innovations. The information they get from the records they gather helps businesses make decisions in critical areas, such as product development, sales and marketing techniques, and client retention. You find remote data scientists in many different industries, including pharmaceuticals, manufacturing, and banking.

What key skills and qualifications are needed to thrive as a remote data scientist, and why are they important?

To thrive as a Remote Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid background in mathematics or computer science, usually demonstrated through a relevant degree. Familiarity with programming languages like Python or R, experience with machine learning frameworks, and knowledge of data visualization tools are typically required, along with certifications such as Microsoft Certified: Azure Data Scientist Associate or Google Professional Data Engineer. Excellent communication, problem-solving abilities, and self-motivation are critical soft skills for collaborating remotely and delivering insights to stakeholders. These skills are crucial for effectively analyzing data, building predictive models, and driving data-driven decisions in a distributed work environment.

How does a remote data scientist typically collaborate with team members across different time zones?

As a remote data scientist, effective collaboration across time zones often involves leveraging asynchronous communication tools like Slack, project management platforms, and version control systems such as Git. Regular virtual meetings are scheduled to accommodate overlapping hours, and clear documentation becomes crucial for keeping everyone aligned. Proactive communication, sharing progress updates, and setting clear expectations help ensure seamless teamwork despite geographical differences. This structure allows remote data scientists to contribute meaningfully while maintaining flexibility in their work schedules.

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

AspectRemote Data ScientistRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; often requires programming skills in Python or RDegree in Analytics, Business, or related field; may require proficiency in Excel, SQL, and visualization tools
Work EnvironmentResearch-focused, developing models, machine learning, and predictive analyticsData interpretation, reporting, and visualization to support business decisions
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceRetail, marketing, finance, and consulting firms

Remote Data Scientists focus on building models and advanced analytics, while Remote Data Analysts interpret data and create reports. Both roles require strong analytical skills but differ in technical depth and project scope.

More about Remote Data Scientist jobs

What are the most commonly searched types of Data Scientist jobs in Wallingford, CT?

The most popular types of Data Scientist jobs in Wallingford, CT are:

What are popular job titles related to Remote Data Scientist jobs in Wallingford, CT?

For Remote Data Scientist jobs in Wallingford, CT, the most frequently searched job titles are:

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

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

Remote Data Scientist jobs near you
Infographic showing various Remote Data Scientist job openings in Wallingford, CT as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $123,074 per year, or $59.2 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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