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Data Science Jobs in Portland, CT (NOW HIRING)

Saransh Inc

Data Scientist

Hartford, CT · On-site

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 ...

Pwc

AI & GenAI Data Scientist-Director

Hartford, CT · On-site

$155K - $410K/yr

Industry/Sector Not Applicable Specialism Data Science Management Level Director & Summary The Opportunity As an AI & GenAI Data Scientist-Director, you will leverage advanced technologies and ...

Munich Re

Senior Data Scientist

Hartford, CT · On-site

In this position, you will work independently on data science projects of any scale and you will be empowered to make methodological decisions within the scope of a given project. Act as a mentor to ...

Munich Re

Senior Data Scientist

Hartford, CT · On-site

In this position, you will work independently on data science projects of any scale and you will be empowered to make methodological decisions within the scope of a given project. Act as a mentor to ...

Pursuit Aerospace

Lead Data Scientist

Plainville, CT · On-site

$144K - $198K/yr

Bachelor's degree required * 2+ years in a data science role demonstrating solving complex business problems and independently building robust solutions that improve outcomes * 2+ years in SQL ...

Pursuit Aerospace

Lead Data Scientist

Manchester, CT · On-site

$144K - $198K/yr

Bachelor's degree required * 2+ years in a data science role demonstrating solving complex business problems and independently building robust solutions that improve outcomes * 2+ years in SQL ...

The Hartford

Data Engineer

Hartford, CT · On-site

$115K - $138K/yr

Within Customer Operations Data Science, we build modern AI products that optimize customer interactions across omnichannel journeys, supporting operational areas such as the Contact Center, Digital ...

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

$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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Showing results 21-40

All JobsData Science JobsData Science Jobs in Portland, CT

Data Science information

See Portland, CT salary details

$38K

$124.3K

$199K

How much do data science jobs pay per year?

As of Aug 8, 2026, the average yearly pay for data science 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.

Is a data scientist in high demand?

Yes, data scientists are in high demand across many industries due to the increasing reliance on data-driven decision making. The role requires skills in programming, statistics, and machine learning, and job growth is expected to continue as organizations expand their data capabilities.

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, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

What does a data scientist do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.
More about Data Science jobs
What are popular job titles related to Data Science jobs in Portland, CT? For Data Science jobs in Portland, CT, the most frequently searched job titles are:
What cities near Portland, CT are hiring for Data Science jobs? Cities near Portland, CT with the most Data Science job openings:
Data Science jobs near you
Infographic showing various Data Science job openings in Portland, CT as of August 2026, with employment types broken down into 100% Full Time. Highlights an 75% In-person, 5% Hybrid, and 20% Remote job distribution, with an average salary of $124,282 per year, or $59.8 per hour.

Senior Project Manager, Data Science Initiatives

The Jackson Laboratory

Farmington, CT • On-site

$74K - $125K/yr

Full-time

Re-posted 26 days ago

The Jackson Laboratory rating

8.3

Company rating: 8.3 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

33rd of 120 rated laboratories

Job description

The Senior Project Manager, Data Science Initiatives will play a leadership role within JAX Research, overseeing the planning, facilitating, executing, and delivering high-priority data science projects within established timelines, resource constraints, and defined objectives. This role is an essential point of leadership for the onboarding and setup of new initiatives. This role is responsible for building and standardizing the project management systems, frameworks, and tools that underpin Data Science Initiatives, establishing consistent processes and KPIs that scale across a growing and complex research portfolio. In this research-driven environment, the Senior Project Manager ensures the effective and efficient use of personnel, equipment, funding, and other resources to advance project goals. This role monitors project progress, identifies risks or deviations from expected outcomes, and implements corrective actions as needed. This position operates across cross-functional teams to ensure project objectives are met, stakeholder needs are addressed, and high-quality deliverables are produced. The Senior Project Manager provides clear communication, strategic context, and data-informed recommendations to internal and external stakeholders while driving alignment, accountability, and efficient execution across the project lifecycle.
Remote (with travel to JAX sites as needed) Salary Range: $74,772 - $125,184 based on years of related experience
Key Responsibilities (What you contribute):
  • Build and standardize project management systems, frameworks, tools, and KPIs that reflect best practices and enable consistent, scalable support across complex initiatives.
  • Maintain visibility across the full project portfolio, including intake and setup of new projects, establishing charters, resource plans, and clear frameworks before execution begins.
  • Document and track all active projects at an appropriate level of detail, capturing objectives, milestones, task priorities, team members and roles, commitment levels, decision points, and resource availability (staff, funding, equipment).
  • Partner with leads to map tasks and timelines, identify interdependencies, and ensure alignment across concurrent initiatives.
  • Develop a sufficient understanding of the aims of the sponsors and collaborators to effectively coordinate project teams and serve as a bridge between technical and operational workstreams.
  • Keep projects on track by proactively identifying and resolving blocking issues, unclear priorities, insufficient resources, risks, and deviations from expected outcomes, implementing corrective actions as needed.
  • Coordinate handoffs and ensure continuity as projects transition between phases or team members, including periodic and final review of sponsor satisfaction.
  • Contribute directly to hands-on technical or experimental work, documentation, reports, or publications as project needs require.
  • Mentor and coach a team of project and/or program managers across both technical and emotional intelligence domains.

Knowledge, Skills, and Abilities (What you're good at):
  • Bachelor's degree required/Master's preferred
  • 7 years required/10 years preferred of career project or program manager with experience in driving complex, long-term, strategic projects
  • Proven track record of managing large, complex research programs and cross-functional teams
  • Demonstrated experience being an agent of change with proven track record of influence and driving required operational change.
  • Demonstrated ability to successfully design & implement a project management framework that drives consistency and operational excellence
  • High fluency in risk management, decision making, and problem solving
  • Exceptional communication skills and stakeholder management experience
  • Experience managing budgets and driving measurable business impact
  • Experience building or scaling a project management function within a research organization
  • Familiarity with data science workflows, machine learning project lifecycles, or research operations
  • Experience contributing to documentation and reports
  • Ability to navigate matrixed or cross-functional environments and lead through influence

Why JAX
At JAX, you'll join a mission-driven organization dedicated to advancing human health through cutting-edge science, data innovation, and collaborative discovery. You'll shape partnerships and programs that accelerate breakthroughs in genetics, disease modeling, and translational research.
If you're a strategic thinker, a relationship builder, and a leader who thrives at the intersection of science and technology, we'd love to meet you.
About JAX:
The Jackson Laboratory is an independent, nonprofit biomedical research institution with a National Cancer Institute-designated Cancer Center and nearly 3,000 employees in locations across the United States (Maine, Connecticut, California), Japan and China. Its mission is to discover precise genomic solutions for disease and empower the global biomedical community in the shared quest to improve human health.
Founded in 1929, JAX applies over nine decades of expertise in genetics to increase understanding of human disease, advancing treatments and cures for cancer, neurological and immune disorders, diabetes, aging and heart disease. It models and interprets genomic complexity, integrates basic research with clinical application, educates current and future scientists, and provides critical data, tools and services to the global biomedical community. For more information, please visit www.jax.org.
EEO Statement:
The Jackson Laboratory provides equal employment opportunities to all employees and applicants for employment in all job classifications without regard to race, color, religion, age, mental disability, physical disability, medical condition, gender, sexual orientation, genetic information, ancestry, marital status, national origin, veteran status, and other classifications protected by applicable state and local non-discrimination laws.

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