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Entry Level Data Science Jobs in Silver Spring, MD

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 ...

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 ...

... 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 ...

... 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 ...

Currently, we are looking for entry-level software programmers, Java full stack developers, Python/Java developers, data analysts/data scientists, machine learning engineers for full time positions ...

Minimum Qualifications: * Bachelor's Degree in Business, Computer Science, Data Science ... Security+, AWS Certified Cloud Practitioner, or equivalent entry-level cloud/cyber credentials.

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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 Jun 20, 2026, the average hourly pay for entry level data science in Silver Spring, MD is $19.70, according to ZipRecruiter salary data. Most workers in this role earn between $16.63 and $22.12 per hour, depending on experience, location, and employer.

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 build experience.

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 (Python or R), statistics, and data analysis through online courses and tutorials. Gaining practical experience by working on personal projects, participating in competitions like Kaggle, and learning tools such as SQL and machine learning libraries can help demonstrate your abilities to employers.

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, statistics, and data analysis tools like Python or R. While prior experience is not always mandatory, demonstrating relevant skills through projects, certifications, or internships can improve your chances of securing such roles.
What are the most commonly searched types of Data Science jobs in Silver Spring, MD? The most popular types of Data Science jobs in Silver Spring, MD are:
What are popular job titles related to Entry Level Data Science jobs in Silver Spring, MD? For Entry Level Data Science jobs in Silver Spring, MD, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Science jobs in Silver Spring, MD look for? The top searched job categories for Entry Level Data Science jobs in Silver Spring, MD are:
What cities near Silver Spring, MD are hiring for Entry Level Data Science jobs? Cities near Silver Spring, MD with the most Entry Level Data Science job openings:
Entry Level Full Stack Engineer

Entry Level Full Stack Engineer

SynergisticIT

Washington, DC

Other

Posted 13 days ago


Job description

SynergisticIT Job Opportunity

SynergisticIT is looking for entry-level software programmers, IT enthusiasts, Python/Java developers, Data analysts/Data Scientists. We welcome candidates with all visas and citizens to apply. Recent Computer science/Engineering/Mathematics/Statistics or Science graduates looking to make their careers in the IT industry are encouraged to apply. Candidates who are serious about their future in the IT industry and have set big goals for themselves are also welcome. Candidates having difficulty in finding jobs or cracking interviews or who wants to improve their skill portfolio can benefit from our skill enhancement programs.

We offer skill enhancement programs if the candidates are missing skills or experience which our clients need. Candidates who lack experience, have had a break in careers, lack technical competency, or are different visa candidates who want to get employed and settle down in the USA are encouraged to apply.

Required Skills for Java/Software Programmers
  • Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT
  • Highly motivated, self-learner, and technically inquisitive
  • Experience in programming language Java and understanding of the software development life cycle
  • Knowledge of Core Java, javascript, C++ or software programming
  • Spring boot, AWS, Microservices and REST API's experience
  • Excellent written and verbal communication skills
Required Skills for Data Science/Machine Learning
  • Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT
  • Highly motivated, self-learner, and technically inquisitive
  • Experience in programming language Java and understanding of the software development life cycle
  • Knowledge of Statistics, Python, data visualization tools
  • Excellent written and verbal communication skills

Preferred skills: Powerbi, Databricks, Snowflake, NLP, Text mining, Tableau, Time series analysis

Please understand skills are required by clients for selection even if it's a junior or entry-level position. The additional skills are the only way a candidate can be picked by clients. No third-party candidates or c2c candidates. Please apply to the posting. No phone calls please. Shortlisted candidates would be reached out.