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Data Science Jobs in Longmeadow, MA (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 ...

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

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

Manchester, CT · On-site

$144K - $198K/yr

  • Medical

  • Retirement

  • PTO

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 ...

AIToolboard

AI/Data Scientist

Springfield, MA · On-site

$140 - $190/hr

Mentors and may supervise team members.,Required Skills6+ years of experience implementing enterprise IT systems, applications, and infrastructure4+ years of experience in AI and Data Science using ...

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

$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 ...

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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Showing results 21-40

All JobsData Science JobsData Science Jobs in Longmeadow, MA

Data Science information

See Longmeadow, MA salary details

$38.1K

$124.6K

$199.4K

How much do data science jobs pay per year?

As of Aug 12, 2026, the average yearly pay for data science in Longmeadow, MA is $124,556.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,000.00 and $138,000.00 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 the most commonly searched types of Data Science jobs in Longmeadow, MA? The most popular types of Data Science jobs in Longmeadow, MA are:
What are popular job titles related to Data Science jobs in Longmeadow, MA? For Data Science jobs in Longmeadow, MA, the most frequently searched job titles are:
What job categories do people searching Data Science jobs in Longmeadow, MA look for? The top searched job categories for Data Science jobs in Longmeadow, MA are:
What cities near Longmeadow, MA are hiring for Data Science jobs? Cities near Longmeadow, MA with the most Data Science job openings:
Data Science jobs near you
Infographic showing various Data Science job openings in Longmeadow, MA as of August 2026, with employment types broken down into 86% Full Time, and 14% Part Time. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $124,556 per year, or $59.9 per hour.

Data Science Team Lead - Sr. Principal Engineer - Commercial DPHM P5 (Onsite)

Prattwhitney

East Hartford, CT • On-site

$132.40 - $251.60/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 28 days ago

Job description

What You Will Do

Control & Diagnostic Systems (CDS) is a dynamic engineering organization focused on the development and certification of military, commercial and industrial gas turbine engine control and diagnostic systems. CDS is responsible for all aspects of Pratt & Whitney engine control and diagnostic system development including requirements analysis and definition, system and software architecture, algorithm design, and product software design, verification and validation. We integrate the control and diagnostic system design across other engine system modules and with the air vehicles and provide support throughout the complete engine product life cycle.

The Diagnostics, Prognostics & Health Management (DPHM) discipline within CDS develops and maintains systems that ingest and process engine data, tools that provide secure and efficient access, and analytics that generate critical insights and alerts to keep the commercial fleet operating reliably and efficiently. Commercial DPHM is seeking a Data Science Technical Team Lead to guide the development of advanced diagnostics, prognostics, and engine health monitoring analytics supporting commercial fleet operations. This leader will drive technical direction, mentor a multidisciplinary data science team, and help shape the next generation of commercial health monitoring capabilities.

This role provides technical leadership in designing robust analytics, data science, machine learning, and AI solutions to solve complex engine‑health and physics‑based problems. Success in this role requires expertise in statistics, data science, machine learning, and AI techniques, strong domain understanding, and the ability to collaborate closely with stakeholder teams to ensure models and analytics accurately reflect engine behavior and operational realities. The position is based at the P&W East Hartford facility and is an onsite role.

Key Responsibilities
  • Lead development of advanced DPHM analytics using statistical modeling, physics‑informed approaches, machine learning, and AI applied to operational fleet data.
  • Serve as the primary technical expert for the team’s most challenging analytical problems, shaping solutions from concept through validation and deployment.
  • Define and advance analytic methods, modeling standards, validation practices, and technical best practices across the Commercial DPHM data science team.
  • Provide technical mentoring, coaching, and review for other data scientists to strengthen overall team capability.
  • Collaborate across multidisciplinary teams to ensure analytics align with engine physics, system behavior, and customer needs.
  • Ensure deployed analytics meet expectations for accuracy, robustness, and reliability, and support continuous performance monitoring and improvement.
  • Contribute to long‑term analytic strategy, capability development, and roadmap planning for Commercial DPHM.
Qualifications

You Must Have:

  • Bachelors’ Degree in Science, Technology, Engineering or Mathematics (STEM)
  • 10 years engineering experience or an advanced Degree with 7 years prior engineering experience

We Prefer:

  • Expertise in a variety of statistics, data science, machine learning, and AI techniques
  • Expertise with Python and core data science/modeling libraries
  • Experience developing analytics for operational, real‑world, or safety‑critical applications
  • Expertise in analyzing, modeling, and interpreting time series data
  • Experience with MLOps practices, including model versioning, automated testing, CI/CD for analytics, and managing models throughout their lifecycle
  • Experience providing technical guidance or mentorship to other data scientists
  • Experience deploying to cloud‑based applications
  • Experience deploying to edge compute hardware
  • Knowledge of gas turbine engines and their operation
  • Knowledge of and exposure to aerospace control and diagnostic systems
What We Offer

Salary range: 132,400 USD – 251,600 USD. Compensation may include annual short‑term and/or long‑term incentive programs depending on level and agreement.

  • Medical, dental, and vision insurance
  • Life insurance
  • Short‑term disability and long‑term disability
  • 401(k) match and flexible spending accounts
  • Flexible work schedules and employee assistance program
  • Employee Scholar Program, parental leave, paid time off, and holidays
  • Relocation assistance

Benefits eligibility is dependent on the specific business unit and applicable collective‑bargaining agreement. RTX provides incentive compensation programs based on individual and company performance.

Equal Opportunity Statement

RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other applicable state or federal protected class.

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