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Entry Level Data Science Jobs in Springfield, MA

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 ...

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Join our mission to continuously move science forward; to innovate and advance all aspects of our ... accurate quality data at every critical moment and milestone. That's why we need you -- your ...

Holyoke Medical Center Laboratory has an exciting entry level position available for applicants ... The Laboratory Assistant will register and receive specimens, enter specimen data into a software ...

Distribution Designer I

Windsor, CT ยท On-site

$20 - $27/hr

TRC has long set the bar for clients who require more than just engineering, combining science with ... Maintains production and quality of projects, including field data, photographs, engineering ...

Document patient encounters and clinical data in the EMR system (EPIC preferred) * Assist with ... About Actalent Actalent is a global leader in engineering and sciences services and talent ...

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Entry Level Data Science information

See Springfield, MA salary details

$10

$18

$26

How much do entry level data science jobs pay per hour?

As of May 30, 2026, the average hourly pay for entry level data science in Springfield, MA is $18.99, according to ZipRecruiter salary data. Most workers in this role earn between $16.06 and $21.30 per hour, depending on experience, location, and employer.

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

To thrive as an Entry Level Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, typically supported by a relevant degree such as computer science, mathematics, or statistics. Familiarity with technical tools like SQL databases, data visualization software (e.g., Tableau), and machine learning libraries (such as scikit-learn or TensorFlow) is commonly expected. Curiosity, problem-solving ability, and effective communication help you interpret data insights and collaborate with diverse teams. These skills ensure you can extract meaningful insights from data, contribute to data-driven decision-making, and grow within the analytics field.

What types of projects or tasks can I expect to work on as an entry-level data scientist?

As an entry-level data scientist, you'll typically work on tasks such as data cleaning, exploratory data analysis, and supporting the development of predictive models. You may also assist in preparing datasets, generating reports, and visualizing data for stakeholders. Collaboration with more senior data scientists and cross-functional teams like engineering or business analysts is common, giving you opportunities to learn and grow your technical and communication skills. These foundational projects are essential for building your expertise and preparing for more complex responsibilities as you advance in your career.

What are entry level data science jobs?

Entry level data science jobs are positions designed for individuals who are starting their careers in the field of data science, often requiring minimal professional experience. These roles typically involve working with data collection, cleaning, and analysis, as well as assisting more senior data scientists with projects. Entry level data scientists are expected to have a foundational understanding of statistics, programming (often in Python or R), and basic machine learning concepts. They may work in various industries, helping organizations gain insights from data to support decision-making.

What is the difference between Entry Level Data Science vs Data Analyst?

AspectEntry Level Data ScienceData Analyst
Required CredentialsBachelor's in CS, Statistics, or related field; some certificationsBachelor's in Business, Statistics, or related field; certifications optional
Work EnvironmentTech companies, startups, research labsBusiness, marketing, finance sectors
Employer & Industry UsageData-driven roles in tech and researchBusiness insights, reporting, and visualization
Common Search & ComparisonYesYes

Entry Level Data Science and Data Analyst roles often share similar educational backgrounds and work environments. However, data scientists typically focus on building models and advanced analytics, while data analysts concentrate on interpreting data and creating reports. Both roles are essential in data-driven organizations, but they differ in technical complexity and scope.

What are the most commonly searched types of Data Science jobs in Springfield, MA? The most popular types of Data Science jobs in Springfield, MA are:
What are popular job titles related to Entry Level Data Science jobs in Springfield, MA? For Entry Level Data Science jobs in Springfield, MA, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Science jobs in Springfield, MA look for? The top searched job categories for Entry Level Data Science jobs in Springfield, MA are:
What cities near Springfield, MA are hiring for Entry Level Data Science jobs? Cities near Springfield, MA with the most Entry Level Data Science job openings:

Entry level Java spring boot developer/ data scientist

Synergistic it

Hartford, CT โ€ข On-site, Remote

Other

Posted 25 days ago


Job description

โ€œGhosted by companies and/or No/Failing Interviews? Lost in the Applicant Pile? Start getting offersโ€ - Get Hired with a Process which Works !

Many job seekers assume the tech market has shut down, but the truth is companies are still hiring โ€” theyโ€™re just being more selective. Employers want candidates who demonstrate practical skills, confidence, and readiness. That means only the most prepared, polished, and employerโ€‘ready candidates get through.

Getting hired in tech isnโ€™t just about knowing how to code โ€” itโ€™s about proving you can deliver value from day one. If youโ€™re getting interviews but not offers, youโ€™re closer than you thinkโ€”yet that final gap can feel brutal. Many candidates spend months learning frameworks and finishing courses, only to freeze during technical screens, system questions, or behavioral rounds.

The result is painful: โ€œalmost hiredโ€ over and over again, while the confidence drops. The truth is that interviewing is its own skill , and Colleges donโ€™t teach it. They teach how to codeโ€”but not how to think out loud, structure answers, debug in real time, defend trade-offs, and communicate like an engineer .

Since 2010, SynergisticIT has helped candidates land full-time roles with many major employers. The best way to understand this: you can be smart and still fail interviews if you donโ€™t know what the interview is truly measuring. Interviews rarely test โ€œcan you write code at home.โ€ They test: Can you solve problems under constraints and time pressure?

Can you communicate your approach clearly? Can you handle edge cases and complexity? Can you explain trade-offs and design choices?

Can you show job-ready project depth, not just toy examples? SynergisticIT focuses on roles such as entry-level software programmers, Java full stack developers, Python/Java developers, Data Analysts, Data Engineers, Data Scientists, and Machine Learning Engineers . The focus areas include Java / Full Stack / DevOps and Data tracks like Data Engineering, Data Analytics/BI, ML/AI , because those are the roles employers continue to hire for.

If your pattern is โ€œI reach interviews but donโ€™t clear them,โ€ you likely need three upgrades: Stronger project narratives (what you built, why it matters, how it works) Stronger technical foundations (DSA, OOP, APIs, SQL, pipeline design) Mock interview reps (realistic simulation, feedback, improvement loops) Many jobseekers underestimate how much hiring is about clarity. You donโ€™t need to be perfectโ€”you need to show you can think, collaborate, and deliver. Thatโ€™s why guided mock interviews and structured interview coaching can be a game-changer.

Please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT What Recruiters Look for in Junior Developers | SynergisticIT Software engineering or Data Science as a career? Ideal candidates for this version include: Candidates who get interviews but repeatedly fall short Jobseekers stuck in โ€œscreen round limboโ€ Developers who panic during live coding Candidates who can build projects but struggle to explain them Professionals who havenโ€™t interviewed in years and feel rusty Career changers who fear โ€œIโ€™m behind CS gradsโ€ (often untrue with support) SynergisticIT provides support for candidates navigating STEM OPT extension, H1B filing, and Green Card processes (where applicable), which can matter when timing is critical. If youโ€™re tired of failing interviews and want a structured plan to convert interviews into offers, start here: Event videos (OCW, JavaOne, Gartner): USA Today feature Discover JOPP: Job Placement Program Contact Us https://www.synergisticit.com/contact-us/ Because getting hired isnโ€™t about trying harderโ€”itโ€™s about preparing smarter, practicing correctly, and having the right guidance.

Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you donโ€™t want to be contacted please donโ€™t submit your resume.

Work with java based application Perform application development for custom applications Designing and developing for enterprise class application using java technologies Enhancing existing java web applications Integrate application business layer with external application components Provide production support web applications Implement innovative web/software development technologies Using a variety of java based technologies Augment the application development team Manage the application development team Develop mobile applications and application interfaces Do analysis, design and hands on java development Develop software applications in client/server environment and/or web deployed applications Understand application requirements and develop software solutions Conduct testing on other developer's code Supporting an enterprise business application Develop web services components for cross-application solutions Implement complex web and database applications Develop and maintain web applications using C, (WPF, MVC, WCF, ASP) Develop components of multitier web application