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Entry Level Statistics Jobs in Boston, MA (NOW HIRING)

Machine Learning Analyst

Boston, MA · On-site

$110K - $145K/yr

Our work spans statistical modeling, classical machine learning, and modern AI and LLM techniques. The Machine Learning Analyst's primary responsibility will be to contribute to these efforts ...

Data Scientist - NYC

Boston, MA · On-site

$100 - $200/hr

... Statistics, Mathematics, Finance, etc.) or equivalent professional experience * Experience with ... entry-level data science concepts) * Experience writing code in Python * Experience handling ...

Data Scientist - NYC

Boston, MA · On-site

$100 - $200/hr

... Statistics, Mathematics, Finance, etc.) or equivalent professional experience * Experience with ... entry-level data science concepts) * Experience writing code in Python * Experience handling ...

Manufacturing Engineer I

Braintree, MA

$74K - $95K/yr

What You Can Expect The manufacturing engineer I is an entry-level position, responsible for ... Good problem-solving skills through the use of quality and statistical tools. * Ability to ...

Market Research Analyst

Boston, MA · Hybrid

$60K - $70K/yr

This is an entry-level role in which the Research Analyst will be responsible for assisting with ... Knowledge of statistics; experience running and interpreting statistical analyses * Experience ...

Showing results 21-40

Entry Level Statistics information

See Boston, MA salary details

$11

$20

$29

How much do entry level statistics jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for entry level statistics in Boston, MA is $20.70, according to ZipRecruiter salary data. Most workers in this role earn between $17.50 and $23.22 per hour, depending on experience, location, and employer.

What is an entry level statistician?

Entry level statistics jobs are positions designed for individuals who are just starting their careers in data analysis and statistical fields. These roles typically involve tasks such as collecting, analyzing, and interpreting data, as well as creating reports and visualizations to support decision-making. Common job titles include statistical assistant, data analyst, or research assistant. Entry level positions usually require a bachelor’s degree in statistics, mathematics, or a related field, and proficiency in statistical software like Excel, R, or SPSS.

What types of projects or tasks can I expect to work on in an entry level statistics role?

In an entry-level statistics position, you can expect to work on tasks such as collecting, cleaning, and organizing data sets, performing basic statistical analyses like descriptive statistics or regression, and assisting in the preparation of reports or presentations. You may also support senior statisticians with experimental design, data visualization, and quality control checks. Collaboration with team members from departments like data science, research, or business analytics is common, and you'll often use statistical software such as R, SAS, or Python to carry out your work.

What are the key skills and qualifications needed to thrive as an entry level statistician, and why are they important?

To thrive as an Entry Level Statistician, you need a solid background in mathematics, statistical analysis, and a relevant degree such as statistics, mathematics, or a related field. Familiarity with statistical software like R, SAS, SPSS, or Python is typically required, and knowledge of data visualization tools is a plus. Strong analytical thinking, attention to detail, and effective communication skills help you interpret and explain complex data findings to diverse audiences. These competencies are crucial for delivering accurate insights and supporting data-driven decision-making within organizations.

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

AspectEntry Level StatisticsData Analyst
Required CredentialsBachelor's in Statistics, Mathematics, or related fieldBachelor's in Statistics, Mathematics, or related field
Work EnvironmentResearch, academia, entry-level corporate rolesBusiness, finance, healthcare, technology sectors
Employer UsageAcademic institutions, research organizations, entry-level corporate rolesCompanies analyzing data to inform decisions, reporting, and strategy

Entry Level Statistics and Data Analyst roles often require similar educational backgrounds, focusing on statistical and analytical skills. While Entry Level Statistics may lean more towards theoretical and research-oriented tasks, Data Analysts typically work directly with business data to generate insights. Both roles are common in various industries and serve as foundational positions for careers in data and analytics.

What are the most commonly searched types of Statistics jobs in Boston, MA?

The most popular types of Statistics jobs in Boston, MA are:

What are popular job titles related to Entry Level Statistics jobs in Boston, MA?

For Entry Level Statistics jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Entry Level Statistics jobs in Boston, MA look for?

The top searched job categories for Entry Level Statistics jobs in Boston, MA are:

What cities near Boston, MA are hiring for Entry Level Statistics jobs?

Cities near Boston, MA with the most Entry Level Statistics job openings:

Infographic showing various Entry Level Statistics job openings in Boston, MA as of August 2026, with employment types broken down into 79% Full Time, 18% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $43,053 per year, or $20.7 per hour.

Junior Machine Learning Engineer/Data Scientist/Data analyst-remote

SynergisticIT

Boston, MA • On-site

Other

Posted 15 days ago


Job description

CS/IT/Data Science Graduates or About to be Grads. Get Hired by following a Process! You Don’t Need Luck — You Need Strategy Many job seekers think getting hired is about luck, timing, or chance. But the truth is, it’s about strategy. SynergisticIT gives you a proven, structured approach to enter the tech industry. You’ll work on high‑demand technologies, build real‑world projects, and receive interview preparation that helps you stand out. Also get sent directly to Fortune 500 companies, giving you access to opportunities that bypass traditional hiring barriers. You don’t need luck — you need a plan. Synergisticit gives you the strategy that leads to real results. If you just graduated (or you’re about to) and the job search is already feeling confusing, you’re not imagining it. A degree proves you can learn—but employers hire for job readiness: projects that look like real work, current tech stacks, interview confidence, and the ability to contribute on day one. That’s why many new grads send hundreds of applications and still hear nothing back. It’s not because you’re “not smart enough.” It’s because most entry-level pipelines are crowded, and hiring teams filter heavily for candidates who look production-ready. We are actively considering candidates for entry-level software engineering and data roles, especially Java full stack, Java/Python development, DevOps automation, data analytics, data engineering, data science, and ML/AI—full-time opportunities aligned to client needs. Our core emphasis remains Java/Full Stack/DevOps and Data/Analytics/Engineering/ML. SynergisticIT focuses on two high-demand lanes: Java / Full Stack / DevOps and Data (Data Analyst, Data Engineer, Data Scientist) + ML/AI—so you don’t graduate with scattered skills, you graduate with an employable stack. SynergisticIT since 2010, has helped candidates land full-time roles at major organizations ( including Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Intel, JPMC, Wayfair, Bank of America, Citi, and more) with offers commonly in the $95k–$154k range depending on role and skill depth. For a new grad, the bigger message isn’t the number—it’s that results require a structured pathway, not random applications. Here’s a realistic way to think about your advantage as a fresh graduate: you’re early enough to build the right foundation before bad habits set in. If you master fundamentals—coding, debugging, data structures, system thinking—and then layer modern tools on top (frameworks, cloud, CI/CD, analytics stacks), you become the kind of “entry-level” candidate who actually feels like a safe hire. What roles are companies hiring for right now? A typical market demand pattern is clear: organizations still need entry-level software programmers, Java full stack developers, Python/Java developers, DevOps-focused engineers, and on the data side data analysts, BI analysts, data engineers, data scientists, and machine learning engineers. The strongest candidates aren’t “tool collectors”—they’re people who can show end-to-end capability: build an API, connect a database, deploy a service, analyze data, explain results, and handle interviews calmly. Why fresh grads get stuck— Fresh grads often struggle for four predictable reasons: Resume doesn’t match job keywords (ATS filters you out). Projects look like school assignments (not production-aligned). Interview skills are undertrained (DSA, system design, SQL, behavioral). No structured pipeline (random applying without feedback loops). A job-placement-first approach addresses these systematically: build the right portfolio, practice the right interview questions, align your tech stack to roles, and keep improving until the market says “yes.” Who this path fits best If you’re a recent graduate, you’ll likely fit if you match any of these: New grads in CS, Engineering, Math, or Statistics with limited job experience Students finishing Bachelor’s or Master’s programs who need a real hiring plan Candidates who apply consistently but don’t get callbacks Candidates who reach interviews but struggle to close International students on F-1/OPT who need a job plan for STEM extension/H-1B timing Graduates with strong academics but thin practical experience SynergisticIT helps STEM extension and work authorization pathways, and for candidates who need long-term stability, support related to H-1B and green card processes as part of employer-side realities. If you’re tired of guessing, stop treating your job search like a lottery. Treat it like a project with milestones: skills → portfolio → interview readiness → targeted applications → scheduled interviews → offer. please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | https://www.synergisticit.com/why-tech-companies-dont-hire-recent-cs-graduates/ Technical Skills or Experience? | Which one is important to get a Job? | https://www.synergisticit.com/tech-skill-or-experience-which-one-is-more-important-for-a-jobseeker/ Please check below links: Event videos (OCW, JavaOne, Gartner): https://fast.wistia.com/embed/channel/k4mlq69ekl USA Today feature Discover JOPP: https://www.synergisticit.com/jopp/ Contact: https://www.synergisticit.com/contact-us/ Bottom line for fresh grads: Your degree is the starting line, not the finish line. If you want to get hired faster, you don’t need “more random courses.” You need a guided, job-focused path and the right people around you. In tech, it’s not just what you learn—it’s how you learn and who you build with that decides how far you go. 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 don’t want to be contacted please don’t submit your resume