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Entry Level Data Scientist Remote Jobs in Frederick, MD

GenAI Developer

Leesburg, VA ยท On-site +1

$115K - $165K/yr

Experience working in a geographically dispersed, remote team. * Understanding of Data Science principles and best practices. Xenith Solutions LLC is a Service-Disabled Veteran-Owned Small Business ...

GenAI Developer

Leesburg, VA ยท Remote

$115K - $165K/yr

Experience working in a geographically dispersed, remote team. * Understanding of Data Science principles and best practices. Xenith Solutions LLC is a Service-Disabled Veteran-Owned Small Business ...

... Remote) schedule Responsibilities * Design of site and infrastructure improvements including ... If you would like more information about how your data is processed, please contact us. apply for ...

Remote We are seeking a skilled MongoDB Analyst to manage, analyze, and optimize large-scale NoSQL ... The ideal candidate will be responsible for designing data models, ensuring data integrity ...

This position is currently remote; however, in accordance with federal contract requirements and ... Bachelor's Degree in Computer Science, Computer Engineering, Data Science, Computational ...

Study Start-Up Associate II

Rockville, MD ยท Remote

$34.25 - $46.75/hr

Overview Study Start-Up Associate II US Remote Emmes Group: Building a better future for us all ... Bachelor degree Life Sciences, Health Sciences, Nursing, or a related field required. * Master ...

Lead Financial BA

Rockville, MD ยท Remote

$70 - $75/hr

Hybrid 3 days onsite / 2 days remote in Rockville, MD Our client seeks a Lead Business Analyst to ... Interpret complex data processing pipelines and business logic in source code. * Translate ...

Hybrid 3 days onsite / 2 days remote in either Rockville, MD or Tysons Corner, VA Our client seeks ... Drive data classification and labeling initiatives and integrate with DLP technologies. * Manage ...

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Entry Level Data Scientist Remote information

See Frederick, MD salary details

$45.7K

$164.1K

$242.1K

How much do entry level data scientist remote jobs pay per year?

As of Aug 11, 2026, the average yearly pay for entry level data scientist remote in Frederick, MD is $164,072.00, according to ZipRecruiter salary data. Most workers in this role earn between $132,700.00 and $169,000.00 per year, depending on experience, location, and employer.

What are some common challenges entry level data scientists face when working remotely, and how can they overcome them?

Entry-level data scientists working remotely often encounter challenges such as limited access to mentorship, difficulties in understanding team expectations, and staying motivated without in-person supervision. To overcome these, it's helpful to proactively communicate with teammates and supervisors, seek regular feedback, and participate in virtual team meetings or collaborative coding sessions. Leveraging online communities and internal chat channels can also help build connections and access guidance when needed, ensuring continued learning and integration into the team.

What are the key skills and qualifications needed to thrive as an entry level data scientist remote?

To thrive as an Entry Level Data Scientist (Remote), you need a solid foundation in statistics, programming (especially Python or R), and data analysis, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with tools like SQL, Jupyter Notebooks, and machine learning libraries (such as scikit-learn or TensorFlow), as well as experience with data visualization platforms, is often expected. Strong problem-solving skills, self-motivation, and clear communication are crucial for collaborating across teams and working independently in a remote environment. These skills and qualities ensure you can effectively extract insights from data and contribute meaningfully to business decisions, even without direct in-person supervision.

What is an entry level data scientist remote?

An Entry Level Data Scientist (Remote) is a professional who analyzes and interprets complex digital data to help companies make informed decisions, typically working from a location outside of the company's physical office. They use statistical techniques, machine learning, and data visualization tools to uncover insights from large datasets. Entry level positions are designed for individuals with limited professional experience, often recent graduates or those transitioning into the field. Remote roles offer flexibility, enabling employees to work from home or any other location with internet access.
What are popular job titles related to Entry Level Data Scientist Remote jobs in Frederick, MD? For Entry Level Data Scientist Remote jobs in Frederick, MD, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Scientist Remote jobs in Frederick, MD look for? The top searched job categories for Entry Level Data Scientist Remote jobs in Frederick, MD are:
What cities near Frederick, MD are hiring for Entry Level Data Scientist Remote jobs? Cities near Frederick, MD with the most Entry Level Data Scientist Remote job openings:
Infographic showing various Entry Level Data Scientist Remote job openings in Frederick, MD as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 18% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $164,072 per year, or $78.9 per hour.

Data Scientist

Department of Energy Headquarters

Germantown, MD โ€ข On-site, Remote

$125K - $192K/yr

Full-time

Posted 6 days ago


Job description

Summary
This position is part of the Office of Science - Headquarters, Department of Energy. As a Data Scientist, you will provide technical leadership, project management, and strategic vision for SC's operational data analytics program.
Learn more about this agency
Duties
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The Department of Energy's mission is to ensure America's security and prosperity by addressing its energy, environmental and nuclear challenges through transformative science and technology solutions.
The Office of Science - Headquarters office works to support and oversee research facilities and programs that cover basic science through its application to the demonstration and deployment of energy technologies. The Office of Science oversees 10 of the 17 Department of Energy (DOE) National Labs and 28 major federal research user facilities. Its mission is to preserve U.S. leadership in science, fund and perform basic research, and provide the scientific facilities that the private sector is unable or unwilling to provide.
We are truly honored that DOE has been named America's #1 Best Employer for Veterans in 2023 by Forbes-not only among Government agencies, but among employers across the U.S. We are so proud of this ranking which reflects our commitment to the employment of veterans. As so many veterans at DOE renew their service to our Nation, we are deeply committed to their success and advancement. Veterans shape the future of energy
As a Data Scientist, you will:
  • Develop, implement, and maintain a data-driven enterprise risk management (ERM) framework and supporting datasets to identify, assess, prioritize, and advise on mitigation strategies for operational, safety, and security risks across all Office of Science sites and national laboratories.
  • Provide projects with technical leadership, project management, and strategic direction to apply advanced data science lifecycle principles-such as data collection, cleaning, modeling, and machine learning-on enterprise datasets.
  • Design, deploy, and maintain data visualization tools, dashboards, predictive models, and quantitative risk indicators to translate complex analytical findings into actionable decision support, briefing materials, and budget formulations for program leadership.
  • Serve as a subject matter advisor to leadership on applying AI to operations, direct AI initiatives from concept to deployment, and align agency projects with Department of Energy strategies and policies.
  • Represent the office in department-wide forums and working groups to convey programmatic data needs, share insights on data governance and AI, and collaborate with internal and external stakeholders to improve enterprise data quality.

Requirements
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Conditions of employment
  • You must be a United States Citizen.
  • This employer participates in the e-Verify program.
  • If you are a male applicant born after December 31, 1959, you must certify that you have registered with the Selective Service System or are exempt from having to do so under the Selective Service Law. See www.sss.gov.
  • If selected, you may be required to complete a one year probationary period.
  • If selected, your appointment may be subject to a suitability or fitness determination, as determined by a completed background investigation.
  • This position is not remote, the selectee will be expected to report to the duty station(s) listed. If selected, military spouses, veteran caregivers, and spouses of foreign service employees may be eligible for applicable workplace flexibilities.
  • You are required to submit a Financial Disclosure Statement, OGE-450, Executive Branch Personnel Confidential Financial Disclosure Report within 30 days of entering the position and annually.
  • Relocation incentive may be authorized for a highly qualified candidate based on budget availability and in accordance with federal regulations.
  • This position is NOT included in a Bargaining Unit.
  • Occasional travel may be required.

Qualifications
BASIC REQUIREMENT:
Degree:
Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.
OR
Combination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown in paragraph A above, plus additional education or appropriate experience.
GS-14 SPECIALIZED EXPERIENCE REQUIREMENTS: A qualified candidate's online application and resume must demonstrate at least one year of specialized experience equivalent to the next lower grade level GS-13 in the Federal service. Specialized experience for this position is defined as meeting ALL of the following:
  1. Developing complex statistical models, data mining processes, or machine learning algorithms using advanced programming languages (such as Python, R, or SQL) to extract patterns and insights from large, varied datasets.
  2. Maintaining quantitative performance scorecards, enterprise risk indicators, or trend-analysis tracking systems to evaluate the operational health, safety, or efficiency of an organization.
  3. Coordinating database development, or artificial intelligence (AI) projects from the initial concept phase to a fully operational status.

GS-15 SPECIALIZED EXPERIENCE REQUIREMENTS: A qualified candidate's online application and resume must demonstrate at least one year of specialized experience equivalent to the next lower grade level GS-14 in the Federal service. Specialized experience for this position is defined as meeting ALL of the following:
  1. Deploying complex statistical models, data mining processes, or machine learning algorithms using advanced programming languages (such as Python, R, or SQL) to extract patterns and insights from large, varied datasets.
  2. Designing quantitative performance scorecards, enterprise risk indicators, or trend-analysis tracking systems to evaluate the operational health, safety, or efficiency of an organization.
  3. Scheduling database development, or artificial intelligence (AI) projects from the initial concept phase to a fully operational status.

Limit your resume to no more than two (2) pages. If more than two pages are submitted, only the first two pages will be reviewed to determine your eligibility and qualifications. Your full resume will be made available to the hiring manager if you are referred.
"Experience" refers to paid and unpaid experience. Examples of qualifying unpaid experience may include: volunteer work done through National Service programs (such as Peace Corps and AmeriCorps); as well as work for other community-based philanthropic and social organizations. Volunteer work helps build critical competencies, knowledge, and skills; and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.
Time-in-Grade: Current Federal employees must meet time-in-grade requirements by the closing date of this announcement to receive consideration.
CTAP/ICTAP candidates: To be considered "well qualified" you must (1) meet all of the requirements as described in this section; and 2) be rated "well-qualified", which is defined as having a score of 85 or better.
You must meet all qualifications and eligibility requirements by the closing date of this announcement.
Education
This vacancy has a positive education requirement. In order to be rated as qualified, you must provide copies of your college transcripts. Failure to provide copies of your college transcripts may result in a rating of "Ineligible". Education must be obtained from an accredited institution recognized by the U.S. Department of Education. Foreign education must be reviewed by an organization recognized by the U.S. Department of Education. For special instructions pertaining to foreign education and a list of organizations that can evaluate foreign education, see the Department of Education website.
BASIC REQUIREMENT:
Degree:
Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.
OR
Combination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown in paragraph A above, plus additional education or appropriate experience.
Additional information
  • Shared Certificates: The Department of Energy shares lists of applicants among its internal Departmental Elements and organizations. You may be referred for consideration to other DOE Hiring Managers throughout the Department for more than one position based on this application. By applying to this announcement, you understand your application materials may be shared with multiple Hiring Mangers throughout DOE. If additional positions are filled from this announcement conditions of employment may differ. You will be notified if you are referred for additional positions.
  • New employees to the Department of Energy will be required to successfully pass the E-Verify employment verification check. To learn about E-Verify, including your rights and responsibilities, visit www.dhs.gov/E-Verify.
  • Veterans and persons with disabilities are encouraged to apply. For more information, please visit the links at the bottom of this page or visit the FedsHireVets website.
  • If you believe that you are eligible for the Interagency Career Transition Assistance Program (ICTAP), please visit the OPM ICTAP/CTAP website for more information. In order to be considered under the ICTAP program, your application must score within the pre-established "well qualified" category as stated in the Qualifications section.
  • More than one selection may be made from this vacancy announcement.
  • Some positions may require completion of a probationary period of up to 1 (one) year.
  • Many positions require successful completion of a background investigation.
  • Your performance appraisal and incentive awards will be given due consideration in the selection process based on their relation to the duties of the position and the consistency with which they may be considered in evaluating you against other candidates.
  • Hiring incentives may be authorized in accordance with agency policy and if funding is available.
  • Equal employment opportunity policy.
  • Employees or applicants may request Reasonable Accommodation (RA) for assistance, when applying or competing for a job or performing a job due to their medical condition or to exercise their religious beliefs. If you need reasonable accommodation in the application or selection process, please contact the Staffing Specialist listed on this vacancy announcement.
  • Reasonable Accommodation Policy: https://www.energy.gov/hc/articles/reasonable-accommodation-and-personal-assistance-service-procedures
  • Veterans Information: https://www.energy.gov/careers/veterans-military-spouses
  • Selective Service Registration: http://www.sss.gov/
  • The Fair Chance Act prohibits specific inquiries concerning an applicant's criminal or credit background unless the hiring agency has made a conditional offer of employment to the applicant. An applicant may submit a complaint to the agency within 30 calendar days of the date of alleged noncompliance by completing the Fair Chance Act Intake Form and emailing it to the Administrative Investigations Program at AdministrativeInvestigations@hq.doe.gov.
  • Candidates should be committed to improving the efficiency of the Federal government, passionate about the ideals of our American republic, and committed to upholding the rule of law and the United States Constitution.

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Candidates should be committed to improving the efficiency of the Federal government, passionate about the ideals of our American republic, and committed to upholding the rule of law and the United States Constitution.
Benefits
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A career with the U.S. government provides employees with a comprehensive benefits package. As a federal employee, you and your family will have access to a range of benefits that are designed to make your federal career very rewarding. Opens in a new windowLearn more about federal benefits.
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Eligibility for benefits depends on the type of position you hold and whether your position is full-time, part-time or intermittent. Contact the hiring agency for more information on the specific benefits offered.