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Data Scientist Jobs in Portland, CT (NOW HIRING)

Role: Data Scientist Location/s: Hartford, CT (or) Stamford, CT (or) Morristown, NJ [Hybrid] (or) Remote for other USA locations Job Type: Contract * Data scientists develop robust, efficient, and ...

... Ability Data Science โ€ข Experience with machine learning, AI, and cognitive service engine models โ€ข Experience with programming languages like SQL, Python, R, and Scala โ€ข Using analytics ...

Act as a mentor to more junior data scientists and is empowered to assign them specific project tasks with clear scope. Work on a portfolio of projects simultaneously and are expected to adequately ...

Act as a mentor to more junior data scientists and is empowered to assign them specific project tasks with clear scope. Work on a portfolio of projects simultaneously and are expected to adequately ...

Act as a mentor to more junior data scientists and is empowered to assign them specific project tasks with clear scope. Work on a portfolio of projects simultaneously and are expected to adequately ...

ClifyX is seeking a GEN AI Data Scientist Engineer with over 8 years of experience. The role involves building, training, validating, and deploying machine learning models, as well as implementing ...

Lead Data Scientist

Manchester, CT ยท On-site

$144K - $198K/yr

The lead data scientist will build data, analytics, and AI solutions to support SIOP (Sales, Inventory, Operations Planning) transformation and delivery business impact on inventory and customer ...

Lead Data Scientist

Plainville, CT ยท On-site

$144K - $198K/yr

The lead data scientist will build data, analytics, and AI solutions to support SIOP (Sales, Inventory, Operations Planning) transformation and delivery business impact on inventory and customer ...

The lead data scientist will build data, analytics, and AI solutions to support SIOP (Sales, Inventory, Operations Planning) transformation and delivery business impact on inventory and customer ...

The lead data scientist will build data, analytics, and AI solutions to support SIOP (Sales, Inventory, Operations Planning) transformation and delivery business impact on inventory and customer ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary The Opportunity As an AI & GenAI Data Scientist - Manager, you will play a pivotal role in ...

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Data Scientist information

See Portland, CT salary details

$38K

$124.3K

$199K

How much do data scientist jobs pay per year?

As of Sep 7, 2026, the average yearly pay for data scientist in Portland, CT is $124,282.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,700.00 and $137,700.00 per year, depending on experience, location, and employer.

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

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks, data visualization tools, and big data platforms like TensorFlow, Tableau, and Hadoop, as well as certifications in data science, are highly valued. Excellent problem-solving skills, curiosity, and the ability to communicate complex findings clearly set outstanding data scientists apart. These skills and qualities are crucial for extracting actionable insights from data, driving business decisions, and collaborating effectively with stakeholders.

What do data scientists do?

Data scientists collect, confirm, and interpret data to determine useful information for their employer. They help organizations identify patterns and trends in their data to provide information about lucrative opportunities, necessary improvements, and potential innovations. The information data scientists get from the records they gather helps businesses make major decisions in critical areas, such as product development, sales and marketing techniques, and client retention. Data scientists are highly educated; the majority of them have at least a master's degrees, and many have doctorates. Data scientists are valuable members of organizations in many different industries, including pharmaceuticals, manufacturing, and banking.

What are some typical projects data scientists work on, and how do they collaborate with other teams?

Data Scientists often work on projects such as building predictive models, analyzing large datasets to uncover trends, and developing data-driven solutions to business problems. They regularly collaborate with cross-functional teams, including software engineers, data engineers, and business analysts, to ensure that their insights are actionable and aligned with business goals. Effective communication and teamwork are essential, as Data Scientists frequently need to present complex findings to non-technical stakeholders and incorporate feedback from various departments.

What is the difference between Data Scientist vs Data Analyst?

AspectData Scientist
Required CredentialsDegree in Computer Science, Statistics, or related field; often requires advanced degrees
Work EnvironmentResearch and development, predictive modeling, machine learning projects
Employer & Industry UsageTech companies, finance, healthcare, consulting firms
Common Search & ComparisonOften compared due to overlapping skills in data analysis and modeling

Data Scientists focus on building predictive models, advanced analytics, and machine learning, often requiring higher-level technical skills and education. Data Analysts primarily interpret existing data, generate reports, and support decision-making with descriptive analytics. While both roles analyze data, Data Scientists handle complex modeling and predictive tasks, whereas Data Analysts focus on data interpretation and reporting.

Is a data scientist job still in demand?

Yes, data scientist roles remain in high demand across various industries due to the increasing reliance on data-driven decision making. Skills in machine learning, statistical analysis, and programming languages like Python or R are highly valued, and employment opportunities continue to grow as organizations seek to leverage big data for competitive advantage.

What does a data scientist do exactly?

A data scientist analyzes large datasets to extract insights, build predictive models, and support decision-making. They use statistical techniques, programming languages like Python or R, and tools such as SQL and machine learning algorithms to interpret data and solve complex problems.

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

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

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

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

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

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

Infographic showing various Data Scientist job openings in Portland, CT as of August 2026, with employment types broken down into 84% Full Time, 8% Part Time, and 8% Contract. Highlights an 83% In-person, 6% Hybrid, and 11% Remote job distribution, with an average salary of $124,282 per year, or $59.8 per hour.

Data Scientist

Saransh Inc

Hartford, CT โ€ข On-site

Contractor

Re-posted 26 days ago


Job description

Role: Data Scientist
Location/s: Hartford, CT (or) Stamford, CT (or) Morristown, NJ [Hybrid] (or) Remote for other USA locations
Job Type: Contract
 
Job Description:
  • Data scientists develop robust, efficient, and scalable AI models to extract valuable information from various unstructured data sources, including but not limited to PDFs, Word documents, and Excel files.
  • They design and implement logic to process this data and generate meaningful outputs to support user decision-making.
  • Candidates must possess extensive experience with Python, large language models (LLMs), machine learning techniques, data structures, and algorithms.
  • Their expertise enables them to create innovative solutions that handle complex data processing challenges effectively.