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Associate Data Scientist Jobs in Manchester, CT (NOW HIRING)

Data Scientist

Windsor, CT · On-site

$117K - $146K/yr

Experience working with big data, geospatial analytics, and/or probabilistic forecasting ... The expected salary range for the Associate to Mid-Level is $86,000 - $120,000 per year. We will ...

The Senior GEOINT Data Scientist will leverage their strong technical background and knowledge to ... Associate's degree may substitute for 2 years of experience. * Bachelor's degree may substitute for ...

... and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering ... Data Engineer Associate] is a plus - Designing and implementing thorough data architecture ...

... Associate] is a plus - Designing and implementing thorough data architecture strategies ... Engineering, Data Science, and Data Governance - Architecting and implementing cloud-based ...

The Associate role is an entry level position designed for recent graduates in Computer Science and ... Computer Science, Information Technology, Software Engineering, Data Science, Computer Engineering ...

... Associate degree in Computer Science, Engineering, Business or a related field • Two years of ... Data modelling (Star Schema) • Demonstrated analytical skills and critical thinking skills • ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate ... Management Information Systems, Computer and Information Science, Systems Engineering, Electrical ...

Associate degree in Computer Science, Engineering, Business or a related field * Two years of ... Knowledge of Data modelling (Star Schema) * Demonstrated analytical skills and critical thinking ...

... and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering ... Data Engineer Associate] is a plus - Designing and implementing thorough data architecture ...

... Science, Data Science, Software Engineering, Mathematics, Statistics, or a related quantitative field - At least 3 years of professional experience developing AI/ML systems, building full-stack ...

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Associate Data Scientist information

See Manchester, CT salary details

$58.1K

$68.7K

$130.3K

How much do associate data scientist jobs pay per year?

As of Aug 2, 2026, the average yearly pay for associate data scientist in Manchester, CT is $68,719.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,600.00 and $60,100.00 per year, depending on experience, location, and employer.

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

AspectAssociate Data ScientistData Analyst
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; some roles prefer certifications in data analysis or programmingBachelor's degree in Statistics, Mathematics, or related field; certifications like Microsoft Excel or Tableau are common
Work EnvironmentCollaborates with data science teams, develops models, and analyzes complex datasetsPrepares reports, visualizes data, and provides insights for decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms focusing on predictive modelingCommon across various industries for business reporting and operational analysis

The Associate Data Scientist typically focuses on building models and advanced analytics, requiring programming skills and statistical knowledge. Data Analysts mainly interpret data through reports and visualizations, often with less emphasis on coding. Both roles are essential in data-driven organizations but differ in technical depth and responsibilities.

What are the key skills and qualifications needed to thrive as an Associate Data Scientist, and why are they important?

To thrive as an Associate Data Scientist, you need strong analytical skills, a solid foundation in statistics, and proficiency in programming languages like Python or R, typically supported by a degree in a quantitative field. Experience with data visualization tools (e.g., Tableau), machine learning libraries (e.g., scikit-learn), and database systems (e.g., SQL) is often required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating data insights into actionable business solutions. These skills and qualities are essential for extracting valuable insights from complex data and driving data-informed decision-making within organizations.

What does an Associate Data Scientist do?

An Associate Data Scientist supports data-driven decision-making by collecting, cleaning, and analyzing large datasets. They use statistical methods and programming languages like Python or R to identify trends, build predictive models, and generate insights for business problems. Working under the guidance of more experienced data scientists, they also help visualize data and communicate findings to technical and non-technical stakeholders. This entry-level role often involves learning new tools and techniques while contributing to real-world projects.

What are some typical projects an Associate Data Scientist might work on, and how do they collaborate with other team members?

As an Associate Data Scientist, you can expect to contribute to a range of projects such as developing predictive models, analyzing large datasets to uncover business insights, and supporting the deployment of machine learning solutions. Collaboration is key; you'll often work closely with data engineers to prepare and process data, as well as with business analysts and product managers to align your findings with organizational goals. Regular meetings, code reviews, and knowledge-sharing sessions are common, providing opportunities to learn from senior data scientists and broaden your technical skills.

What Does an Associate Data Scientist Do?

The duties of an associate data scientist are to analyze statistical data analysis on large sets and identify trends by using advanced mathematical and computer science skills. Their responsibilities often include assisting in the production of statistical models, tools, and processes. They typically are in the process of pursuing a master’s degree and report to a senior data scientist. The qualifications you need are a bachelor’s degree in statistics, computer science, or a related field as well as experience working with machine-learning and data mining algorithms.

What are the most commonly searched types of Data Scientist jobs in Manchester, CT? The most popular types of Data Scientist jobs in Manchester, CT are:
What cities near Manchester, CT are hiring for Associate Data Scientist jobs? Cities near Manchester, CT with the most Associate Data Scientist job openings:
Infographic showing various Associate Data Scientist job openings in Manchester, CT as of July 2026, with employment types broken down into 1% As Needed, 69% Full Time, 27% Part Time, 2% Temporary, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $68,719 per year, or $33 per hour.

$117K - $146K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 13 days ago


Job description

ISO New England is the independent system operator responsible for ensuring the safe and reliable flow of electricity in our region and planning for the future of the electric grid. We are at the forefront of New England's ongoing transition to clean energy.
New technologies and the New England region's economy-wide decarbonization efforts are driving a profound transformation in the work of the Forecast Group within System Planning. Responsible for analytics and predictive modeling of the region's electricity demand across all timescales-spanning both short-term and long-term time horizons-the Forecast Group is innovating and redesigning its forecasting methods, software, and tools to meet changing trends in how retail customers procure, manage and use electricity.
This role requires a self-starter with demonstrated ability to work seamlessly both unsupervised and in a fast-paced, collaborative team environment. This position will be focused on long-term forecasting, with potential opportunities to work in long-range forecasting as well. The candidate will have an opportunity to lead the team's development of next generation forecasting tools that are integral to the planning and operation of the future grid.
NOTE: This role is currently located in Windsor, CT until it permanently moves to Holyoke, MA, which is currently expected to occur in 2028.
What we offer you:
  • A stable, mission-driven workplace where your impact truly matters
  • A highly engaged work environment that values inclusion, collaboration, and employee safety and wellbeing
  • Competitive compensation with a base salary + performance bonus
  • Robust benefits package, including:
    • Enhanced 401(k) and financial planning support
    • Tuition reimbursement and professional development
    • Wellness programs, including an onsite gym
    • Flexible work hours
    • Employee Business Networks
    • Onsite luncheon spaces with free coffee and a variety of dining options
  • Hybrid work environment (3 days/week onsite)
  • Distance-based relocation assistance available

How you will make an Impact
  • Work independently and collaboratively on analytical, programming, modelling, and data management activities
  • Map out and document problem statements, project requirements and associated workflows in pursuit of efficient and effective solutions
  • Leverage a curious mindset, initiative, and "elbow grease" to enhance existing processes, and to innovate new forecasting methods, tools, and software
  • Communicate complex, technical content to a diverse audience through written reports and presentations
  • Apply a persistent drive for quality results to lead the development of data pipelines, reusable software packages and visualizations
  • Stay current with forecasting research and industry best practices; evaluate and implement relevant approaches strategically

What we are looking for
  • Bachelor's degree in Economics, Mathematics, Engineering, Operations Research, or a related field
  • 3+ years of experience in the energy industry in forecasting, data analytics, or equivalent
  • Proficiency in at least one advanced programming language such as Python, R, MATLAB, or SAS
  • Hands-on experience developing software in a collaborative team environment
  • Experience working with big data, geospatial analytics, and/or probabilistic forecasting
  • Experience building applications that ingest and use data from multiple sources and formats (i.e., data wrangling/data munging).
  • 5+ years of relevant experience is required to be considered for a senior-level position. 7+ years of relevant experience is required to be considered for a lead-level position.
  • Excellent written and verbal communication skills
  • Desired but not required:
    • Experience in electricity consumption modelling or economic modelling in the energy sector
    • Knowledge about distributed energy resources (e.g. photovoltaics, batteries), electric vehicles, and/or cold-climate heat pumps

This employer will not sponsor applicants for work visas for this position (ex: H-1B, F-1/CPT/OPT, O-1, E-3, TN, J, etc.).
The expected salary range for the Associate to Mid-Level is $86,000 - $120,000 per year. We will also consider a Senior or Lead. The pay range for the Senior to Lead level is $117,000 - $146,000 annually. This role is also eligible for an annual performance bonus, comprehensive health insurance (medical, dental and vision), flexible spending and health savings accounts, a 401(k) plan with generous employer contributions and a student debt benefit, life and AD&D insurance, disability insurance, critical illness and hospital indemnity benefits, paid time off, paid leave, a wellness program, an employee assistance program and other great company perks.
#LI-HYBRID
This is a U.S. based role. If the successful candidate resides outside of the U.S., relocation will be required.
Equal Opportunity: We are proud to be an EEO employer. Applicants for employment are considered without regard to race, color, religion, creed, sex (including pregnancy, childbirth, and related medical conditions), gender identity or expression, sexual orientation, citizenship, national origin, age, ancestry, marital status, disability (including learning, mental, intellectual, and physical), service in the uniformed services, genetic information, or any other status protected by applicable law.
Drug Free Environment: We maintain a drug-free workplace and perform pre-employment substance abuse testing.