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

Pae

Entry Level Software Engineer

Dahlgren, VA · On-site +1

Engineering, Math, Computers Science, and/or Physics with entry level experience. * Must have an ... equity, market data, applicable collective bargaining agreements, and relevant laws. Benefits ...

Pae

Entry Level Software Engineer

Dahlgren, VA · On-site +1

$75 - $90K/hr

Minimum Qualifications - Bachelor's degree in Engineering, Mathematics, Computer Science, or ... equity, market data, applicable collective bargaining agreements, and relevant laws. Benefits ...

Amentum

Entry Level Software Engineer

Dahlgren, VA · On-site

$75 - $90K/hr

Minimum Qualifications - Bachelor's degree in Engineering, Mathematics, Computer Science, or ... equity, market data, applicable collective bargaining agreements, and relevant laws. Benefits ...

St Mary's College of Maryland

Dispatcher

Saint Marys, MD · On-site

$35K/yr

This is a full-time entry level position with an annual salary of $35,570, plus benefits. Non ... Mary's College of Maryland, a public Carnegie Baccalaureate, Arts and Sciences institution located ...

All JobsData Science JobsEntry Level Data Science JobsEntry Level Data Science Jobs in California, MD

Entry Level Data Science information

See California, MD salary details

$10

$18

$25

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

As of Jul 14, 2026, the average hourly pay for entry level data science in California, MD is $18.26, according to ZipRecruiter salary data. Most workers in this role earn between $15.43 and $20.48 per hour, depending on experience, location, and employer.

Is 40 too late for data science?

Entry level data science roles are open to candidates of all ages, including those starting a career at 40 or older. Success depends on acquiring relevant skills such as programming, statistics, and data analysis, often through online courses or certifications, regardless of age.

What are entry level data science jobs?

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.

How do I become a data scientist with no experience?

To become an entry-level data scientist 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, working on personal projects, and participating in competitions like Kaggle can demonstrate your abilities and help you gain practical experience. Earning relevant certifications and creating a strong portfolio can improve your chances of entering the field.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Entry level data scientists often focus on identifying the most impactful variables or tasks to optimize model performance and efficiency.

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.

Can I get a data scientist job with no experience?

Entry-level data science positions often require some knowledge of programming languages like Python or R, and familiarity with data analysis tools. While prior experience is not always mandatory, demonstrating relevant skills through projects, certifications, or coursework can improve your chances of securing an entry-level role.
What are the most commonly searched types of Data Science jobs in California, MD? The most popular types of Data Science jobs in California, MD are:
What are popular job titles related to Entry Level Data Science jobs in California, MD? For Entry Level Data Science jobs in California, MD, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Science jobs in California, MD look for? The top searched job categories for Entry Level Data Science jobs in California, MD are:
What cities near California, MD are hiring for Entry Level Data Science jobs? Cities near California, MD with the most Entry Level Data Science job openings:
Entry Level Data Science jobs near you
Infographic showing various Entry Level Data Science job openings in California, MD as of July 2026, with employment types broken down into 100% Full Time. Highlights an 80% In-person, and 20% Hybrid job distribution, with an average salary of $37,976 per year, or $18.3 per hour.
Modeling and Simulation (M&S) Analyst (Entry Level)

Modeling and Simulation (M&S) Analyst (Entry Level)

SURVICE Engineering Company

Patuxent River, MD • On-site

$80K - $120K/yr

Full-time

Retirement, PTO

Re-posted 8 days ago

Job description

Join Us in Making a Difference in the Lives of Those Defending Our Nation!

Why SURVICE?

Come join the SURVICE Engineering mission to protect, enhance, and enable those who defend the United States. Since 1981, we have supported the DoD community, as well as Homeland Security, advanced technologies, environmental, and commercial markets. Our employees have backgrounds in engineering, physics, mathematics, chemistry, computer science, acquisition, technical writing, training, and other technical and administrative fields. And many of our personnel have DoD and/or operational military experience. If you're looking for a challenging and rewarding career with a leading organization, come see what we can offer you!

Position

Modeling and Simulation (M&S) Analyst (Entry Level)

  • Location: Patuxent River, MD
  • Security Clearance: Active Clearance Required - U.S. citizenship required
  • Salary: $80,000 - $120,000 Depending on Experience and Education
  • Travel: 10%
  • Benefits: SURVICE Engineering offers a total rewards package to include competitive salaries, comprehensive insurance options, paid time off, 401k, flexible spending, tuition reimbursement.

Position Summary

SURVICE Engineering is currently seeking an entry level Modeling and Simulation (M&S) Analyst to provide support for a large, complex modeling and simulation (M&S) Verification , Validation, and Accreditation (VV&A) project. This position will collaborate with engineers, software developers, analysts, and subject matter experts to conduct VV&A of models and simulations that are used to support all aspects of research, development, test, and evaluation. The Analyst will review data and create detailed analysis of the results. This position will require a significant amount of high-quality technical writing that informs users of the simulation of its strengths and limitations.

Primary Duties and Responsibilities

  • Write VV&A plans and reports.
  • Assist with identifying M&S intended use statements, defining M&S requirements to satisfy the intended uses, and generating acceptability criteria to determine if the M&S requirements are met.
  • Conduct M&S risk assessments.
  • Conduct accreditation and V&V activities/tasks.
  • Interface with program personnel, engineers, and subject matter experts.

Minimum Qualifications of Survivability Engineer/Analyst

Bachelor of Science in degree in Aerospace Engineering or Physics.

  • Strong writing skills with ability to inform lay audiences of highly technical analyses required.
  • Ability to work in small groups and interface productively with customers and outside agencies required.
  • Experience with EM and IR propagation, datalinks, air combat, or military weapons a significant plus.
  • M&S experience desired.
  • VV&A experience helpful but not required.

About Us

SURVICE Engineering is a nationally recognized, single-source engineering service provider for Government and Industry organizations involved in all phases of the systems engineering process. Our employees are our most valuable asset, and they are proud to have supported the development, testing, analysis, and modeling and simulation (M&S) of many of the major U.S. air, land, and sea combat systems in the field today. They have also contributed their expertise to other vital national defense programs and technologies that involve survivability, cybersecurity, information technology/management, software engineering, unmanned aerial systems (UASs), and metrology/reverse engineering.


SURVICE Engineering is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. VEVRAA Federal Contractor
Job Posted by ApplicantPro