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Remote Data Scientist Jobs in Springfield, MA (NOW HIRING)

The Hartford

AVP Applied AI

Hartford, CT · On-site +1

AVP Data Science - GD05AE We're determined to make a difference and are proud to be an insurance ... This role can have a Hybrid or Remote work schedule. Candidates who live near one of our office ...

The Hartford

Sr Agile Product Owner

Hartford, CT · On-site +1

$116K - $174K/yr

Experience with data & analytics products, cloud technologies, data governance, data science, and ... Remote work schedule. Candidates who live near one of our office locations will have the ...

UnitedHealth Group

Software Engineer

Hartford, CT · Remote

$72K - $130K/yr

If you reside near Hartford, CT , you'll enjoy the flexibility of a hybrid-remote position* as you ... Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field * 2 ...

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All JobsData Scientist JobsRemote Data Scientist JobsRemote Data Scientist Jobs in Springfield, MA

Remote Data Scientist information

See Springfield, MA salary details

$37.4K

$122.3K

$195.8K

How much do remote data scientist jobs pay per year?

As of Jul 18, 2026, the average yearly pay for remote data scientist in Springfield, MA is $122,309.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,200.00 and $135,500.00 per year, depending on experience, location, and employer.

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

To thrive as a Remote Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid background in mathematics or computer science, usually demonstrated through a relevant degree. Familiarity with programming languages like Python or R, experience with machine learning frameworks, and knowledge of data visualization tools are typically required, along with certifications such as Microsoft Certified: Azure Data Scientist Associate or Google Professional Data Engineer. Excellent communication, problem-solving abilities, and self-motivation are critical soft skills for collaborating remotely and delivering insights to stakeholders. These skills are crucial for effectively analyzing data, building predictive models, and driving data-driven decisions in a distributed work environment.

Can a data scientist work remotely?

Yes, many data scientists work remotely, especially as the role often involves analyzing data, programming, and using tools like Python, R, and cloud platforms that can be accessed from anywhere. Remote work options depend on the employer's policies and the specific job requirements, but it is increasingly common in the data science field.

What Is the Job of a Remote Data Scientist?

Remote data scientists collect, confirm, and interpret data to determine useful information for their employer. Unlike in-house data scientists, remote data scientists work outside the office, either from home or another location with Wi-Fi accessibility. Remote data scientists help organizations identify patterns and trends in their data to provide information about lucrative opportunities, necessary improvements, and potential innovations. The information they get from the records they gather helps businesses make decisions in critical areas, such as product development, sales and marketing techniques, and client retention. You find remote data scientists in many different industries, including pharmaceuticals, manufacturing, and banking.

How can I make 2000 a week working from home?

A remote data scientist can earn $2,000 or more per week by working on high-demand projects, consulting, or freelance assignments that pay premium rates. Building a strong portfolio, developing skills in machine learning and data analysis tools, and establishing a reliable client base are essential for achieving this income level remotely.

What are remote data scientists?

Remote data scientists are professionals who analyze and interpret complex data while working outside of a traditional office environment, typically from home or another remote location. They use statistical methods, machine learning, and programming to extract insights from data, helping organizations make data-driven decisions. Remote data scientists collaborate with teams virtually, often using tools for communication, data analysis, and project management. This flexible work arrangement allows for talent from anywhere to contribute to companies worldwide, provided they have reliable internet and the necessary technical skills.

Is 40 too late for data science?

Age is not a barrier to becoming a data scientist; many professionals transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications, regardless of age.

How does a remote data scientist typically collaborate with team members across different time zones?

As a remote data scientist, effective collaboration across time zones often involves leveraging asynchronous communication tools like Slack, project management platforms, and version control systems such as Git. Regular virtual meetings are scheduled to accommodate overlapping hours, and clear documentation becomes crucial for keeping everyone aligned. Proactive communication, sharing progress updates, and setting clear expectations help ensure seamless teamwork despite geographical differences. This structure allows remote data scientists to contribute meaningfully while maintaining flexibility in their work schedules.

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

AspectRemote Data ScientistRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; often requires programming skills in Python or RDegree in Analytics, Business, or related field; may require proficiency in Excel, SQL, and visualization tools
Work EnvironmentResearch-focused, developing models, machine learning, and predictive analyticsData interpretation, reporting, and visualization to support business decisions
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceRetail, marketing, finance, and consulting firms

Remote Data Scientists focus on building models and advanced analytics, while Remote Data Analysts interpret data and create reports. Both roles require strong analytical skills but differ in technical depth and project scope.

How can I make $100,000 a year working from home?

A remote data scientist can earn $100,000 or more annually by gaining advanced skills in machine learning, data analysis, and programming languages like Python or R, along with relevant certifications. Building a strong portfolio, gaining experience, and working for companies that offer remote roles with competitive salaries are key strategies to reach this income level.
More about Remote Data Scientist jobs
What are the most commonly searched types of Data Scientist jobs in Springfield, MA? The most popular types of Data Scientist jobs in Springfield, MA are:
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What job categories do people searching Remote Data Scientist jobs in Springfield, MA look for? The top searched job categories for Remote Data Scientist jobs in Springfield, MA are:
What cities near Springfield, MA are hiring for Remote Data Scientist jobs? Cities near Springfield, MA with the most Remote Data Scientist job openings:
Remote Data Scientist jobs near you
Infographic showing various Remote Data Scientist job openings in Springfield, MA as of July 2026, with employment types broken down into 3% Internship, 81% Full Time, 3% Part Time, and 13% Contract. Highlights an 100% Remote job distribution, with an average salary of $122,309 per year, or $58.8 per hour.
Source Approval Engineer, Forging (Remote)

Source Approval Engineer, Forging (Remote)

Raytheon Technologies

East Hartford, CT • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 22 days ago

Job description

Date Posted:
2026-04-27
Country:
United States of America
Location:
US-CT-EAST HARTFORD-ETC ~ 400 Main St ~ BLDG ETC
Position Role Type:
Remote
U.S. Citizen, U.S. Person, or Immigration Status Requirements:
U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract.
Security Clearance Type:
None/Not Required
Security Clearance Status:
Not Required
At RTX, the world largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world.
Pratt & Whitney is a world leader in the design, manufacture and service of aircraft engines and auxiliary power systems and has been revolutionizing modern flight for over 100 years. Join us and help shape the future of aerospace and defense.
What You Will Do:
  • After completing an ESA specific training program, you will be responsible for performing ESA services primarily for external suppliers located both domestically and internationally.
  • Specific tasks include assessing part forging processes for compliance to product definition data and engineering design intent, resulting in the disposition of requests for initial approvals, changes and inadvertent variations.
  • Assessment activity will involve defining approval plans, performing on-site witnessing of processes, reviewing processing documentation and process simulations, analyzing mechanical test data and metallurgical findings, and using statistical tools to determine process capability.

Qualifications You Must Have:
  • BS or MS in Metallurgy, Materials Engineering, Materials Science, Mechanical Engineering or equivalent is required and minimum 8 years prior relevant experience, or An Advanced Degree in a related field and minimum 5 years experience.
  • Experience and knowledge of large structural forgings and/or rolled ring forgings.

Qualifications We Prefer:
  • An understanding of P&W's design, manufacturing and quality systems, or experience with the ESA approval process, is a plus.
  • Knowledge of associated shop practices, alloy working methods and tooling, nickel and titanium metallurgy, metallurgical evaluation methods, mechanical property testing techniques, heat treatment, process simulations and statistical evaluation techniques, are desired.
  • Excellent interpersonal and teaming skills required for interfacing with people of diverse backgrounds and personalities. The ability to work well in a fast paced production type environment and the ability to rapidly react to business needs, are requirements. Good analytical and observational skills are also requirements. Must be able to work in a self-directed manner and be willing to occasionally provide coverage during off-hours, as business demands dictate.
  • Job requires periodic travel to supplier locations.

Please ensure the role type defined below is appropriate for your needs before applying to this role. This position is classified as:
Remote: Employees who are working in Remote roles will work primarily offsite (from home). If you live within a reasonable commute of an RTX site with other colleagues you interact with, your manager will discuss whether there is a degree of onsite presence associated with this role.
Candidates will learn more about role type and current site status throughout the recruiting process. For onsite and hybrid roles, commuting to and from the assigned site is the employee's personal responsibility.
As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote.
The salary range for this role is 107,500 USD - 204,500 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills.
Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.
Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance.
This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.
RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window.
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 or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act.
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