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Applied Statistics Entry Level Jobs (NOW HIRING)

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How much do applied statistics entry level jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for applied statistics entry level in the United States is $19.47, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $21.88 per hour, depending on experience, location, and employer.

What is an applied statistics entry level job?

Applied statistics entry level jobs involve using statistical methods and data analysis techniques to solve real-world problems in various fields such as business, healthcare, government, and research. Individuals in these roles typically collect, analyze, and interpret data to provide actionable insights or support decision-making. Common positions include data analyst, statistical assistant, and research analyst. Entry-level professionals usually work under the supervision of senior statisticians or data scientists and may use tools like Excel, R, or Python. These roles are ideal for graduates with a background in statistics, mathematics, or a related field.

What are some typical projects or tasks an entry-level applied statistician can expect to work on in their first year?

As an entry-level applied statistician, you will likely support senior statisticians by cleaning and organizing data, conducting exploratory data analysis, and applying basic statistical methods to real-world datasets. You may also assist in designing surveys or experiments, preparing reports, and presenting findings to team members from non-statistical backgrounds. Collaboration with data scientists, analysts, and subject matter experts is common, providing valuable exposure to cross-functional teamwork and practical problem-solving within your industry.

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

To thrive as an Applied Statistics Entry Level professional, a strong foundation in statistical theory, data analysis, and mathematics is essential, typically supported by a bachelor’s degree in statistics, mathematics, or a related field. Familiarity with statistical software such as R, Python, SAS, or SPSS and proficiency in Excel are commonly required technical skills. Attention to detail, problem-solving abilities, and effective communication help individuals stand out by enabling them to interpret data and convey findings to non-technical stakeholders. These skills are crucial for ensuring accurate data analysis, supporting decision-making, and driving actionable insights in various industries.

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

AspectApplied Statistics Entry LevelData Analyst
Required CredentialsBachelor's in Statistics, Mathematics, or related fieldBachelor's in Statistics, Mathematics, or related field
Work EnvironmentResearch, academic, or corporate settingsCorporate, finance, healthcare, or tech industries
Employer UsageAcademic institutions, research firms, some corporationsBusiness, marketing, healthcare, finance sectors
Common Search IntentEntry-level statistics roles, foundational data workData analysis, reporting, data visualization tasks

Applied Statistics Entry Level roles focus on foundational statistical methods and data collection, often in research or academic settings. Data Analysts typically perform data cleaning, analysis, and visualization in business environments. While both roles require similar educational backgrounds, Data Analysts tend to work more with business tools and software, making them more industry-oriented. Understanding these differences helps job seekers target the right roles based on their skills and career goals.

Is applied statistics a good career?

Applied statistics is a strong career choice for those interested in data analysis, modeling, and decision-making, often requiring skills in programming languages like R or Python. The field offers diverse opportunities across industries such as healthcare, finance, and technology, with steady demand for professionals who can interpret data and communicate insights effectively.

What jobs can you get with applied statistics?

Applied statistics graduates can pursue roles such as data analyst, statistician, research analyst, or data scientist. These positions typically involve analyzing data sets, using statistical software like R or Python, and interpreting results to support decision-making in various industries.
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Applied Statistics Entry Level jobs near you
Infographic showing various Applied Statistics Entry Level job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 20% Part Time, and 1% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $40,504 per year, or $19.5 per hour.

Data Scientist/Engineer - Junior (Remote)

SynergisticIT

Kansas City, MO • On-site

Other

Posted 13 days ago

Job description

Junior Data Scientist — Move From ML Courses to Real Job Readiness Have you completed courses in Python, machine learning, statistics, or data science but still feel unsure about applying for jobs? Many candidates know the theory behind models, but employers want to see whether you can clean data, explore datasets, choose the right model, evaluate results, explain tradeoffs, and communicate findings in a business-friendly way. SynergisticIT is seeking candidates interested in junior data science roles involving Python, SQL, machine learning, statistics, data visualization, model evaluation, NLP, predictive analytics, and applied AI concepts. This opportunity is ideal for candidates who want to move beyond tutorials and create a stronger, more employer-ready profile. Since 2010, Synergisticit has helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Paypal, Banking, Wayfair, Client, Client and hundreds more with Job offers of $95k to $154k. Synergisticit focuses on closing the gap between your tech skills and what employers want now. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for full time positions with clients. We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts/ Machine learning/AI candidates Ideal Candidates: Recent grads in CS, Engineering, Math, or Statistics with limited or no job experience Jobseekers who had layoffs due to Downsizing and want to get in demand tech stack Professionals seeking a career switch to tech Candidates with career gaps or lacking real-world experience Individuals looking to boost their skill portfolio for better job prospects Computer Science grads with limited or no job experience Students who recently finished their Bachelor's or Master's programs Those struggling to land interviews despite having experience 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: Synergisticit Industry Event videos (OCW, JavaOne, Gartner data Analytics): https://fast.wistia.com/embed/channel/k4mlq69ekl USA Today feature Explore JOPP: https://www.synergisticit.com/jopp/ Contact: https://www.synergisticit.com/contact-us/ SynergisticIT JOPP is good for aspiring data scientists because it helps candidates connect learning with hiring expectations. The program's placement-focused approach supports practical skill development, project work, interview preparation, and profile positioning so candidates can better compete in a crowded data science market. Build the confidence, projects, and preparation needed for data science opportunities— Contact us 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.

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