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Data Researcher Jobs in Connecticut (NOW HIRING)

Bachelor's degree in computer science, statistics, operations research or equivalent combination of education and experience Experience * 3 years in data analytics * 2 years programming experience ...

Associate Data Scientist

Stamford, CT · Hybrid

$62K - $63K/yr

Bachelor's degree in computer science, statistics, operations research or equivalent combination of education and experience Experience * 0-3 years of experience in data analytics * 0-2 years of ...

Data Analyst

Hartford, CT · On-site

$70 - $80/hr

Title: IT - Data Analyst Location: One Hartford Plaza, Hartford, CT 06155 Duration: 6+ Months The ... Provides support and consulting by answering questions, researching possible solutions to complex ...

Data Entry Operator Our client, a Medical Research company, is looking for a Data Entry Operator for their Shelton, CT location. Responsibilities include: * Inputs various data into specified ...

Clinical Data Coordinator

New Haven, CT · On-site

$28 - $31.83/hr

Independently and accurately abstract, create, and maintain study participants' research records, ensuring all required data is collected, source verified, and entered into sponsor databases.

Data Scientist

Windsor, CT · On-site

$86 - $146/hr

Stay current with forecasting research and industry best practices; evaluate and implement relevant ... Experience working with big data, geospatial analytics, and/or probabilistic forecasting

Data Scientist

Windsor, CT · On-site

$117K - $146K/yr

Stay current with forecasting research and industry best practices; evaluate and implement relevant ... Experience working with big data, geospatial analytics, and/or probabilistic forecasting

Showing results 21-40

Data Researcher information

See Connecticut salary details

$28.5K

$107.6K

$156.5K

How much do data researcher jobs pay per year?

As of Aug 24, 2026, the average yearly pay for data researcher in Connecticut is $107,592.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,700.00 and $146,500.00 per year, depending on experience, location, and employer.

What is a data researcher?

A Data Researcher is responsible for collecting, analyzing, and interpreting data to support business decisions, market research, or academic studies. They use various sources, such as databases, surveys, and reports, to gather relevant information. Data Researchers also clean and organize data, ensuring accuracy and reliability. Their work helps organizations identify trends, make informed decisions, and improve strategies based on data-driven insights.

What are the typical day-to-day responsibilities of a data researcher?

As a Data Researcher, your daily responsibilities usually involve gathering, cleaning, and analyzing large datasets, as well as creating reports and visualizations to present your findings. You may work closely with data scientists, business analysts, and subject matter experts to define research goals and ensure data accuracy. Regular tasks could also include monitoring trends, documenting sources, and communicating insights to various departments. This collaborative and investigative environment means you'll often balance independent work with team projects, fostering both technical and interpersonal skills.

What are the key skills and qualifications needed to thrive in the data researcher position, and why are they important?

To thrive as a Data Researcher, you need strong analytical skills, knowledge of statistics, and proficiency in data collection and analysis, often supported by a degree in a related field like statistics, mathematics, or computer science. Familiarity with tools such as Excel, SQL, Python, R, and data visualization platforms, as well as certifications in data science or analytics, is highly valuable. Attention to detail, curiosity, critical thinking, and effective communication make someone stand out in this position. These skills and qualities are crucial for accurately interpreting data, generating actionable insights, and effectively conveying findings to stakeholders.

What are popular job titles related to Data Researcher jobs in Connecticut?

For Data Researcher jobs in Connecticut, the most frequently searched job titles are:

Infographic showing various Data Researcher job openings in Connecticut as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $107,592 per year, or $51.7 per hour.

Data Scientist

Customer Operations

Stamford, CT • On-site, Remote

Full-time

Posted 24 days ago


Job description

This role requires the ability to work lawfully in the U.S. without employment-based immigration sponsorship, now or in the future.

Do you thrive on transforming complex data into actionable insights that drive business growth? At Spectrum, you’ll use advanced statistical techniques and machine learning to develop impactful solutions for real-world challenges, collaborating across teams and communicating your findings to stakeholders at all levels. Your expertise will shape decisions and deliver measurable results that matter.

This position is in an office environment with a hybrid work schedule. Eligible employees can work from home up to one day each week.


How You’ll Make an Impact

  • Responsible for the full end-to-end data science process, including ETL, model development, validation, deployment into workflows, and measurement of financial impact.
  • Partner with cross-functional teams to implement models in production and conduct post-launch testing and enhancements.
  • Apply analytical and statistical algorithms to help stakeholders enhance their business strategies
  • Collaborate on the design and implementation of data quality procedures for both current and new data sources
  • Communicate data science solutions and complex analyses clearly to team members and business leaders
  • Establish connections across existing data sources and uncover new data correlations
  • Present data insights and recommendations to key stakeholders to inform business decisions
  • Ensure testing and validation are integral to all analytics solutions, achieving project goals within deadlines while proactively communicating progress

What You’ll Bring to Spectrum

Required Qualifications

Education

  • Bachelor’s degree in computer science, statistics, operations research or equivalent combination of education and experience

Experience

  • 3 years in data analytics
  • 2 years programming experience

Skills

  • Effective verbal and written communication, relationship management and customer service skills
  • Building Logistic Regression models, Random Forest models, XGBoost models using Python
  • Ability to work effectively in a team environment with minimal supervision
  • Experience with analytical and statistical software
  • Proficient using data science toolkits such as Python
  • Comprehensive SQL skills
  • Strong analytical and problem-solving skills, attention to detail and data accuracy
  • Capacity for in-depth and independent research and analysis
  • Ability to maintain confidentiality and handle sensitive information appropriately
  • Deep understanding of computer science principles including algorithms, data structures and design methodologies
  • Familiarity with big data tools such as Spark and Hive

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Here, our employees don't just have jobs, they're building careers. That's why we offer a comprehensive pay and benefits package that rewards employees for their contributions to our success, supporting all aspects of their well-being at every stage of life.
A qualified applicant's criminal history, if any, will be considered in a manner consistent with applicable laws, including local ordinances.
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Qualifications:

What You’ll Bring to Spectrum

Required Qualifications

Education

  • Bachelor’s degree in computer science, statistics, operations research or equivalent combination of education and experience

Experience

  • 3 years in data analytics
  • 2 years programming experience

Skills

  • Effective verbal and written communication, relationship management and customer service skills
  • Building Logistic Regression models, Random Forest models, XGBoost models using Python
  • Ability to work effectively in a team environment with minimal supervision
  • Experience with analytical and statistical software
  • Proficient using data science toolkits such as Python
  • Comprehensive SQL skills
  • Strong analytical and problem-solving skills, attention to detail and data accuracy
  • Capacity for in-depth and independent research and analysis
  • Ability to maintain confidentiality and handle sensitive information appropriately
  • Deep understanding of computer science principles including algorithms, data structures and design methodologies
  • Familiarity with big data tools such as Spark and Hive
Employment Type: Full Time