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Entry Level Statistician Jobs in Silver Spring, MD

APOGEE RESEARCH LLC

Algorithm Engineer

Arlington, VA · On-site

Understanding of probability and statistics is required, experience with control systems is desired ... This is not an entry level position and real-world experience is required. While this role is not ...

APOGEE RESEARCH LLC

Algorithm Engineer

Arlington, VA · On-site

Understanding of probability and statistics is required, experience with control systems is desired ... This is not an entry level position and real-world experience is required. While this role is not ...

University of Maryland Medical System

Unit Clerk

Largo, MD · On-site

$170K/yr

... statistics such as admission/discharge log, monthly census reports and other data. Work Experience POSITION REQUIREMENTS: Education/Knowledge Attained Level: Entry level (High School Diploma and or ...

Targeted Victory

Junior AI Engineer

Arlington, VA · On-site

Overview Targeted Victory is looking for an entry-level engineer to join our AI Development team to ... AI/ML development, computer science, data science, statistics * Proficient in SQL and Python

Pwc

AI & GenAI Data Scientist - Manager

Washington, DC · On-site

$99K - $232K/yr

... Statistics, or Mathematical Statistics, Data Processing/Analytics/Science, Artificial Intelligence ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

AI & GenAI Data Scientist - Manager

Baltimore, MD · On-site

$99K - $232K/yr

... Statistics, or Mathematical Statistics, Data Processing/Analytics/Science, Artificial Intelligence ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

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All JobsStatistician JobsEntry Level Statistician JobsEntry Level Statistician Jobs in Silver Spring, MD

Entry Level Statistician information

See Silver Spring, MD salary details

$52.2K

$89.9K

$120.4K

How much do entry level statistician jobs pay per year?

As of Sep 7, 2026, the average yearly pay for entry level statistician in Silver Spring, MD is $89,857.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,400.00 and $101,800.00 per year, depending on experience, location, and employer.

What does an entry level statistician do?

An entry level statistician helps collect, analyze, and interpret data to support decision making in various industries such as healthcare, government, business, and research. They typically use statistical software to organize data, run basic analyses, and create reports or visualizations under the guidance of more experienced statisticians. Their work often involves tasks like cleaning datasets, checking for data accuracy, and helping to design surveys or experiments. Entry level statisticians usually collaborate with other team members to ensure the data supports the goals of a project and to communicate findings in a clear way.

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 statistics, mathematics, and data analysis, usually demonstrated by a relevant degree such as statistics, mathematics, or a related field. Familiarity with statistical software like R, SAS, SPSS, or Python, as well as data visualization tools, is typically required. Attention to detail, problem-solving ability, and clear communication are crucial soft skills for interpreting data and presenting findings. These skills ensure accurate data analysis, effective collaboration, and the ability to support decision-making processes within an organization.

What are some typical projects or tasks an entry level statistician might work on in their first year?

As an Entry Level Statistician, you can expect to assist with data collection, cleaning, and preliminary analysis under the guidance of more senior statisticians. Typical tasks include preparing datasets, running statistical tests, creating basic reports, and visualizing data to support research or business decisions. You'll often collaborate closely with data analysts, researchers, and subject matter experts to ensure data quality and relevance. This hands-on experience is an excellent foundation for developing technical skills and understanding how statistical methods are applied in real-world settings.

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

AspectEntry Level StatisticianData Analyst
Required CredentialsBachelor's in Statistics, Mathematics, or related fieldBachelor's in Statistics, Mathematics, or related field
Work EnvironmentResearch, government agencies, healthcare, financeBusiness, marketing, technology, finance
Employer UsageOrganizations needing statistical analysis and modelingCompanies analyzing data to inform business decisions

Entry Level Statisticians and Data Analysts often share similar educational backgrounds and work environments. However, statisticians focus more on developing models and conducting advanced statistical analysis, while data analysts typically interpret data to support business strategies. Both roles are essential in data-driven industries, but their specific tasks and focus areas differ.

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Entry Level Statistician jobs near you
Infographic showing various Entry Level Statistician job openings in Silver Spring, MD as of August 2026, with employment types broken down into 47% Full Time, 50% Part Time, and 3% Contract. Highlights an 48% Physical, 2% Hybrid, and 50% Remote job distribution, with an average salary of $85,520 per year, or $41.1 per hour.

Algorithm Engineer

APOGEE RESEARCH LLC

Arlington, VA • On-site

Full-time

Medical, Dental, Vision, Life, PTO

Re-posted 28 days ago

Job description

Algorithm Engineer

Apogee Research is at the forefront of a revolution in how the DoD operates: a turn towards compositional systems of systems instead of traditional monolithic architectures. This change is driven by a need for faster adaptation to adversarial environments, which requires the ability to field resilient, distributed systems in days to weeks rather than months to years. To create composable systems that operate resiliently at scale in contested and resource constrained environments, we combine custom software toolchains with feedback control to dynamically adjust to ever changing environments. 

We currently have openings for algorithm engineers to design, implement, and validate new algorithms across multiple domains including networking, distributed data fusion and resource management, distributed electronic warfare, and distributed Command and Control (C2). Understanding of probability and statistics is required, experience with control systems is desired. Demonstrated understanding of how to characterize the open-loop and close-loop stability of nonlinear systems via analysis, simulation, and experimentation is a strong plus.

Qualified candidates should have a mix of academic theory and real-world applications of relevant algorithms, combined with a track record of applying research techniques to real-world problems. This is not an entry level position and real-world experience is required. While this role is not primarily a software development role, some software development experience is strongly preferred.

The position is located in our Arlington, VA office. Existing DoD Top Secret clearance is strongly preferred, otherwise all candidates must be eligible to obtain one and therefore all candidates must be a US citizen to apply.

About Apogee Research

Apogee Research offers a comprehensive benefits package that includes health, dental, vision, life, and disability insurance, FSAs, paid vacation, sick leave, and paid holidays. Conveniently located in Arlington, VA, we are a short walking distance from the Ballston Metro station. We offer the choice of paid garage parking or a contribution towards a transit account.

Apogee Research, LLC is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, parental status, military service, or other non-merit factors.