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Entry Level Data Mining Jobs in Gaithersburg, MD

Arcfield

Data Scientist I

Chantilly, VA · On-site

Responsibilities Arcfield is looking for an entry-level DATA SCIENTISTS to serve as an essential ... Experience with Data Mining, Analysis, Statistics, Performance Analysis, or Predictive Analytics ...

New

Elutions

Domain Engineer

Arlington, VA · Remote

... training is available. ** Entry Level Candidates are Encouraged to Apply!!!** General ... Understand big data concepts and have knowledge of data mining algorithms. * Read and understand ...

Elutions

Domain Engineer

Arlington, VA · On-site

... training is available. ** Entry Level Candidates are Encouraged to Apply!!!** General ... Understand big data concepts and have knowledge of data mining algorithms. * Read and understand ...

Elutions

Domain Engineer

Arlington, VA · On-site

... training is available. ** Entry Level Candidates are Encouraged to Apply!!!** General ... Understand big data concepts and have knowledge of data mining algorithms. * Read and understand ...

All JobsData Mining JobsEntry Level Data Mining JobsEntry Level Data Mining Jobs in Gaithersburg, MD

Entry Level Data Mining information

See Gaithersburg, MD salary details

$55.1K

$75.6K

$96.2K

How much do entry level data mining jobs pay per year?

As of Sep 6, 2026, the average yearly pay for entry level data mining in Gaithersburg, MD is $75,631.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,400.00 and $91,800.00 per year, depending on experience, location, and employer.

What is an entry level data mining?

An Entry Level Data Mining job involves collecting, cleaning, and analyzing large datasets to identify patterns and trends. Professionals in this role use statistical techniques, programming languages like Python or SQL, and data visualization tools to extract meaningful insights. They often support business decisions by preparing reports, building predictive models, and ensuring data quality. This role is ideal for individuals with a background in data science, computer science, or related fields who want to gain hands-on experience in handling and interpreting data.

What does an entry level data mining do?

A typical day for an Entry Level Data Mining professional often involves cleaning and organizing raw data, running exploratory analyses, and assisting in building models or algorithms under the guidance of senior team members. Collaboration with data analysts, engineers, and business teams is common, as you may be responsible for preparing reports or visualizations that help inform decision-making. You may also spend time learning new data mining techniques or tools to enhance your efficiency and broaden your skill set. The role offers a mix of technical tasks and teamwork, making it a great opportunity for those eager to grow within the field of data science.

What are the key skills and qualifications needed to thrive in entry level data mining, and why are they important?

To thrive as an Entry Level Data Mining professional, a solid understanding of statistics, basic programming (such as Python or R), and data analysis is typically required, often backed by a degree in computer science, mathematics, or a related field. Familiarity with data mining tools like Weka, RapidMiner, or SQL databases is beneficial, and certifications in analytics or data science can enhance your prospects. Strong attention to detail, analytical thinking, and effective communication are important soft skills for collaborating and conveying findings to non-technical stakeholders. These competencies ensure accurate data extraction, meaningful insights, and successful teamwork essential for effective contributions in data-driven environments.

How to get started in entry level data mining?

To start an entry-level data mining role, develop foundational skills in data analysis, statistics, and programming languages like Python or R. Gain experience with data manipulation tools such as SQL and familiarize yourself with data visualization software; obtaining certifications like Microsoft Certified Data Analyst or Coursera courses can also enhance your qualifications.

Is data mining in demand?

Data mining is in high demand as organizations seek to extract insights from large datasets, supporting data-driven decision making. Entry-level data mining roles often require knowledge of tools like SQL, Python, or R, and are found across industries such as finance, healthcare, and technology.

What are the most commonly searched types of Data Mining jobs in Gaithersburg, MD?

The most popular types of Data Mining jobs in Gaithersburg, MD are:

What are popular job titles related to Entry Level Data Mining jobs in Gaithersburg, MD?

For Entry Level Data Mining jobs in Gaithersburg, MD, the most frequently searched job titles are:

What job categories do people searching Entry Level Data Mining jobs in Gaithersburg, MD look for?

The top searched job categories for Entry Level Data Mining jobs in Gaithersburg, MD are:

What cities near Gaithersburg, MD are hiring for Entry Level Data Mining jobs?

Cities near Gaithersburg, MD with the most Entry Level Data Mining job openings:

Entry Level Data Mining jobs near you
Infographic showing various Entry Level Data Mining job openings in Gaithersburg, MD as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $75,631 per year, or $36.4 per hour.

Data Scientist I

Arcfield

Chantilly, VA • On-site

Full-time

Medical, Life, Retirement, PTO

Posted 2 days ago

New

Job description

Responsibilities
Arcfield is looking for an entry-level DATA SCIENTISTS to serve as an essential member of a team responsible for transforming raw data into meaningful insights and tools that improve decision-making, driving innovation, optimizing operations, and adding measurable value to our customer's Ground Enterprise.
The ideal candidate will be able to combine technical know-how with business acumen to create impactful solutions. Duties include but are not limited to the following:
  • Working on assignments requiring considerable judgment and initiative
  • Help onboard, operate, and transition large-scale data science and AI/ML models in cloud and on-premises computing environments
  • Support pipeline development for data, software, and algorithm delivery to ensure reliability, security compliance, and seamless integration across domains
  • Support project development by visualizing, analyzing, trending, and providing metrics for Systems Program Office -level projects
  • Provide technical support for research, development, and the systematic transition of advanced data fusion, analytics, and automated workflow solutions to operational environments
  • Draft solutions to routine technical problems
  • Assist with developing and executing data management plans and policies
  • Perform analysis of unstructured and semi-structured data, including latent semantic indexing (LSI), entity identification and tagging, complex event processing (CEP), and the application of analysis algorithms on distributed, clustered, and cloud-based high-performance infrastructures
  • Participate in large-scale analysis of unstructured data for high-value use cases visualized through multi-dimensional interfaces
  • Handle processing and indexing requests for both high-volume data collections and high-velocity data streams
  • Identify insights, patterns, and trends in big data environments using computational and technical skills
  • Assist with designing, developing, and deploying sophisticated applications using advanced unstructured or semi-structured data analysis techniques
  • Interpret, connect, predict, and deliver actionable recommendations based on complex data analysis
  • Support data transportation and transformation tasks

Qualifications
Required:
  • Must possess and be able to maintain a TS/SCI clearance with polygraph
  • BS 0-2 Years of HS 6-8
  • Interest in solving technical problems; Strong analysis skills
  • Good presentation and communication skills
  • Ability to work independently and within a team environment
  • Experience with or understanding of cloud-based tools for data analysis

Desired:
  • Degree in Engineering (e.g. aerospace, mechanical, electrical, computer/software), Computer Science, Data Science, Imaging Science, Mathematics, Physics or other related technical fields
  • Interest in writing code; High degree of computer literacy
  • Experience in applying machine learning techniques, algorithm analysis, and data clustering
  • Experience with utilizing open-source textual processing tools for data processing tasks
  • Demonstrated experience with employing visual analytic tools for data interpretation
  • Experience with applying entity extraction and conceptual search technologies
  • Experience with Unix/Linux Scripting
  • Experience with Python, C/C++, Fortran, or similar
  • Experience with MS Excel, Python, R, MATLAB, or similar
  • Experience with Data Mining, Analysis, Statistics, Performance Analysis, or Predictive Analytics and Reporting using various methods and tools
  • Ability to demonstrate experience in software development using platforms like:
    • Open-source enterprise software (e.g., Java, Linux, Ruby, Python)
    • Windows development stack (e.g., .NET, C#, C++)

Equal Pay Act
This is the projected compensation range for this position. There are differentiating factors that can impact a final salary/hourly rate, including, but not limited to, Contract Wage Determination, relevant work experience, skills and competencies that align to the specified role, geographic location (For Remote Opportunities), education and certifications as well as Federal Government Contract Labor categories. In addition, Arcfield invests in its employees beyond just compensation. Arcfield 's benefits offerings include, dependent upon position, Health Insurance, Life Insurance, Paid Time Off, Holiday Pay, Short Term and Long-Term Disability, Retirement and Savings, Learning and Development opportunities, wellness programs as well as other optional benefit elections. Min: $66,456.39 Max: $115,554.76
EEO Statement
We are an equal opportunity employer and federal government contractor. We do not discriminate against any employee or applicant for employment as protected by law.

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