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Entry Level Data Science Jobs in Bethesda, MD (NOW HIRING)

Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Receive mentorship from diverse professionals in science engineering and consulting applying ... entry-level positions. You'll receive a status update email for each application, so be sure to ...

Receive mentorship from diverse professionals in science engineering and consulting applying ... entry-level positions. You'll receive a status update email for each application, so be sure to ...

Receive mentorship from diverse professionals in science engineering and consulting applying ... entry-level positions. You'll receive a status update email for each application, so be sure to ...

... Data Science, Mathematics or related STEM degree and 0-2 years of experience. #PeratonEarlyCareer Peraton Overview Peraton is a next-generation national security company that drives missions of ...

... Data Science, Mathematics or related STEM degree and 0-2 years of experience. #PeratonEarlyCareer Peraton Overview Peraton is a next-generation national security company that drives missions of ...

Image Scientist (Entry-level)

Springfield, VA ยท On-site

$80K - $128K/yr

... Data Science, Mathematics or related STEM degree and 0-2 years of experience. #PeratonEarlyCareer Peraton Overview Peraton is a next-generation national security company that drives missions of ...

Federal Associate Data Scientist 2027

Herndon, VA ยท On-site

$60K - $61K/yr

... entry-level positions. You'll receive a status update email for each application, so be sure to ... Strong fundamentals in Mathematics and Computer Science (algorithms) * You're proficient in least ...

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Entry Level Data Science information

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How much do entry level data science jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for entry level data science in Bethesda, MD is $20.39, according to ZipRecruiter salary data. Most workers in this role earn between $17.26 and $22.88 per hour, depending on experience, location, and employer.

What is an entry level data scientist?

Entry level data science jobs are positions designed for individuals who are starting their careers in the field of data science, often requiring minimal professional experience. These roles typically involve working with data collection, cleaning, and analysis, as well as assisting more senior data scientists with projects. Entry level data scientists are expected to have a foundational understanding of statistics, programming (often in Python or R), and basic machine learning concepts. They may work in various industries, helping organizations gain insights from data to support decision-making.

What types of projects or tasks can I expect to work on as an entry level data scientist?

As an entry-level data scientist, you'll typically work on tasks such as data cleaning, exploratory data analysis, and supporting the development of predictive models. You may also assist in preparing datasets, generating reports, and visualizing data for stakeholders. Collaboration with more senior data scientists and cross-functional teams like engineering or business analysts is common, giving you opportunities to learn and grow your technical and communication skills. These foundational projects are essential for building your expertise and preparing for more complex responsibilities as you advance in your career.

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

To thrive as an Entry Level Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, typically supported by a relevant degree such as computer science, mathematics, or statistics. Familiarity with technical tools like SQL databases, data visualization software (e.g., Tableau), and machine learning libraries (such as scikit-learn or TensorFlow) is commonly expected. Curiosity, problem-solving ability, and effective communication help you interpret data insights and collaborate with diverse teams. These skills ensure you can extract meaningful insights from data, contribute to data-driven decision-making, and grow within the analytics field.

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

AspectEntry Level Data ScienceData Analyst
Required CredentialsBachelor's in CS, Statistics, or related field; some certificationsBachelor's in Business, Statistics, or related field; certifications optional
Work EnvironmentTech companies, startups, research labsBusiness, marketing, finance sectors
Employer & Industry UsageData-driven roles in tech and researchBusiness insights, reporting, and visualization
Common Search & ComparisonYesYes

Entry Level Data Science and Data Analyst roles often share similar educational backgrounds and work environments. However, data scientists typically focus on building models and advanced analytics, while data analysts concentrate on interpreting data and creating reports. Both roles are essential in data-driven organizations, but they differ in technical complexity and scope.

Are there entry-level data science roles?

Yes, entry-level data science roles are available and typically require foundational skills in programming, statistics, and data analysis, often using tools like Python or R. These positions are suitable for recent graduates or those transitioning into data science and may involve internships or junior analyst roles to gain experience.

How to start a career in entry level data science with no experience?

To start a career in entry level data science with no experience, focus on building foundational skills in programming languages like Python or R, and learn data analysis and visualization tools such as SQL and Tableau. Completing online courses, earning certifications, and working on personal projects or internships can demonstrate your abilities to employers and help you gain practical experience.

What are the most commonly searched types of Data Science jobs in Bethesda, MD?

The most popular types of Data Science jobs in Bethesda, MD are:

What are popular job titles related to Entry Level Data Science jobs in Bethesda, MD?

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

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

The top searched job categories for Entry Level Data Science jobs in Bethesda, MD are:

What cities near Bethesda, MD are hiring for Entry Level Data Science jobs?

Cities near Bethesda, MD with the most Entry Level Data Science job openings:

Infographic showing various Entry Level Data Science job openings in Bethesda, MD as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 17% Part Time, and 3% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $42,414 per year, or $20.4 per hour.

Software Engineer - Entry Level

VivSoft Technologies LLC

Herndon, VA โ€ข On-site, Remote

$70K - $85K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago


Job description

Job Title: Software Engineer - Entry Level
Location: Remote
Clearance Required: Top Secret
Position Type: Full-TimeAbout the company:
At VivSoft, we aim to solve complex federal problems using emerging and open technologies in a collaborative and rewarding environment. VivSoft is a diverse team of strategists, engineers, designers, and creators experienced in building high-performance, effective software, with a focus on impactful organisational design and software delivery dynamics. We build secure Software Factories based on DoD reference designs and NIST Frameworks for Cloud and DevSecOps. These factories deliver AI/ML Applications, Data Science Platforms, Blockchain and Microservices for DoD, Healthcare and Civilian Agencies
Position Overview
VivSoft Technologies is seeking an Entry Level Software Engineer to join the DCSA NBIS DISS/PVAAMS team. Working under the guidance of senior engineers, you will contribute to the development and sustainment of mission-critical personnel vetting software used across the Department of Defense. This is an excellent opportunity to grow your federal IT career in a modern cloud-native DevSecOps environment.
ROLE SUMMARY
Applies fundamental concepts, processes, practices, and procedures on technical assignments. Performs work that requires practical experience and training. Work is performed under supervision. 0-2 years of work experience.
KEY RESPONSIBILITIES
โ€ข Supports design, coding, testing, debugging, and implementation activities under the guidance of senior developers.
โ€ข Assists in translating project requirements into working software components.
โ€ข Follows established Agile methodologies and principles for software development.
โ€ข Participates in code reviews and applies feedback to improve the quality and functionality of assigned work.
โ€ข Helps identify and resolve basic technical issues and defects under supervision.
โ€ข Documents work performed and contributes to technical documentation for assigned tasks.
โ€ข Communicates status, questions, and blockers to supervisors and team members in a timely manner.
EDUCATION
โ€ข Bachelor's degree in computer science, Information Technology, Software Engineering, or a related field, or equivalent practical experience.
REQUIRED QUALIFICATIONS
โ€ข 0-2 years of relevant work experience in software development or a related technical field.
โ€ข Foundational knowledge of at least one programming language.
โ€ข Basic understanding of software development lifecycle (SDLC) concepts.
โ€ข Ability to work effectively under supervision as part of a team.
โ€ข Strong verbal and written communication skills.
โ€ข U.S. Citizenship and ability to obtain and maintain a federal security clearance/suitability determination, as required by the contract.
PREFERRED QUALIFICATIONS & SKILLS
โ€ข Exposure to Agile/Scrum development environments.
โ€ข Familiarity with version control tools such as Git.
โ€ข Coursework or internship experience involving cloud platforms (e.g., AWS, Azure).
โ€ข Willingness to learn new tools, languages, and frameworks as project needs evolve.
CERTIFICATIONS
โ€ข Relevant industry certifications are a plus but not required (e.g., CompTIA Security+, AWS Cloud Practitioner).
Benefits:
  • Comprehensive Medical, Dental, and Vision Plans (Healthcare benefits are 100% employer-paid for employees only)
  • Life Insurance
  • Paid Time Off (Flexible/Combined PTO, Bereavement Leave, 11 Company Paid Holidays)
  • 401K Retirement Plan with employer match
  • Professional Development Training Reimbursement.