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Entry Level Data Science Jobs in Silver Spring, MD

... Data Analytics, Data Science, and Cloud Computing for both government and commercial customers ... They have several openings for Full Stack Developers at all levels, from entry level to Senior with ...

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Targeted Victory is looking for an entry-level engineer to join our AI Development team to help us ... AI/ML development, computer science, data science, statistics * Proficient in SQL and Python

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Entry Level Data Science information

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$10

$19

$27

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

As of Aug 21, 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.

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 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:

Infographic showing various Entry Level Data Science job openings in Silver Spring, MD as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $40,968 per year, or $19.7 per hour.

Consultative Offerings - Government & Public Services - Summer Scholar - AI and Data Engineering

Deloitte

Rosslyn, VA • On-site

Temporary

Posted 10 days ago


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

45th of 151 rated financial services


Job description

Consultative Offerings, Government & Public Services - Summer Scholar - AI and Data Engineering 

Join Deloitte's Government & Public Services practice as a Summer Scholar and help organizations address complex challenges that matter. In this role, you will work alongside teams supporting transformation initiatives, improving performance, and helping clients generate measurable value. You will have opportunities to build consulting skills through hands-on experience, collaboration, and exposure across client environments. 

Recruiting for this role ends on 9/23/2026. 

Work you'll do 

As a Summer Scholar in our Government & Public Services practice, you will be an integral member of a client service team, collaborating with diverse and talented team members to help solve multidimensional problems, improve performance, and generate value for our clients. You can capitalize on our cross-industry presence to find your niche and build your individual brand within the organization. 

While a career in consulting is dynamic and evolving, we look for people who will perform in specific areas, grow those related skills, and deliver exceptional results to our clients. We recognize that candidates bring different skills, experiences, and interests, so we align Summer Scholars to skills-based profiles that support development and client impact. Setting our people up for success is a priority, and we are currently recruiting AI and Data Engineering Summer Scholars whose skills and interests align with the below description: 

AI and Data Engineering Summer Scholar 

  • This Summer Scholar architects, designs, develops, and deploys enterprise solutions that span the full spectrum of Artificial Intelligence, including Chatbots, Virtual Assistants, Machine Learning, and Cognitive Services. This role combines deepexpertisein advanced algorithms and scientific methods to build intelligent systems capable of interpreting data, making decisions, and uncovering actionable business insights. By mergingexpertisein AI, data engineering, and enterprise architecture, thisScholarempowers organizations toleveragedata-driven intelligence and scalable solutions to meet evolving business and agency needs. 

A successful candidate would possess these skills: 

  • Ability to work independently and collaborate as part of a team 
  • Effective written and verbal communication skills 
  • Meticulous attention to detail and quality of work product 
  • Ability to build and sustain professional relationships 
  • Ability to lead projects or workstreams 
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment 
  • Strong interpersonal skills and professional demeanor 
  • Ability to meet deadlines 
  • Ability to provide clear guidance to others 

The team 

Deloitte's Government & Public Services practice serves government agencies, higher education institutions, nonprofit organizations, and other public sector organizations. Teams work across strategy, operations, technology, and transformation efforts to help clients improve mission outcomes and organizational performance. Professionals in the practice have opportunities to build specialized experience while working in a collaborative, growth-oriented environment. 

Qualifications 

Required: 

  • Must be currently enrolled in an accredited college or university and expected to graduate by Summer 2028 pursuing a bachelor's degree or higher in Artificial Intelligence, Computer Science, Computational Engineering, Data Science, Machine Learning, Robotics, or a related/equivalent program 
  • Strong academic track record (3.0 cumulative GPA required) 
  • You must reside within a commutable distance (e.g. 100-mile radius) of your assigned office with the ability to commute daily, if required 
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve. 
  • Ability to obtain and maintain a U.S. Security Clearance 
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future. 
  • Candidates must be at least 18 years of age at the time of employment. 

Preferred: 

  • 3.4 cumulative GPA preferred 
  • Internship, project, or coursework experience in artificial intelligence, computer science, computational engineering, data science, machine learning, or robotics. 

This is an entry-level opportunity intended for candidates interested in beginning or building a career in this field. We welcome applicants from a range of educational and professional backgrounds who meet the qualifications for the role. For roles that require a year or more of work experience, please review the experienced jobs within our careers site. 

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current wage is $43/hour. 




Qualifications:

Consultative Offerings, Government & Public Services - Summer Scholar - AI and Data Engineering 

Join Deloitte's Government & Public Services practice as a Summer Scholar and help organizations address complex challenges that matter. In this role, you will work alongside teams supporting transformation initiatives, improving performance, and helping clients generate measurable value. You will have opportunities to build consulting skills through hands-on experience, collaboration, and exposure across client environments. 

Recruiting for this role ends on 9/23/2026. 

Work you'll do 

As a Summer Scholar in our Government & Public Services practice, you will be an integral member of a client service team, collaborating with diverse and talented team members to help solve multidimensional problems, improve performance, and generate value for our clients. You can capitalize on our cross-industry presence to find your niche and build your individual brand within the organization. 

While a career in consulting is dynamic and evolving, we look for people who will perform in specific areas, grow those related skills, and deliver exceptional results to our clients. We recognize that candidates bring different skills, experiences, and interests, so we align Summer Scholars to skills-based profiles that support development and client impact. Setting our people up for success is a priority, and we are currently recruiting AI and Data Engineering Summer Scholars whose skills and interests align with the below description: 

AI and Data Engineering Summer Scholar 

  • This Summer Scholar architects, designs, develops, and deploys enterprise solutions that span the full spectrum of Artificial Intelligence, including Chatbots, Virtual Assistants, Machine Learning, and Cognitive Services. This role combines deepexpertisein advanced algorithms and scientific methods to build intelligent systems capable of interpreting data, making decisions, and uncovering actionable business insights. By mergingexpertisein AI, data engineering, and enterprise architecture, thisScholarempowers organizations toleveragedata-driven intelligence and scalable solutions to meet evolving business and agency needs. 

A successful candidate would possess these skills: 

  • Ability to work independently and collaborate as part of a team 
  • Effective written and verbal communication skills 
  • Meticulous attention to detail and quality of work product 
  • Ability to build and sustain professional relationships 
  • Ability to lead projects or workstreams 
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment 
  • Strong interpersonal skills and professional demeanor 
  • Ability to meet deadlines 
  • Ability to provide clear guidance to others 

The team 

Deloitte's Government & Public Services practice serves government agencies, higher education institutions, nonprofit organizations, and other public sector organizations. Teams work across strategy, operations, technology, and transformation efforts to help clients improve mission outcomes and organizational performance. Professionals in the practice have opportunities to build specialized experience while working in a collaborative, growth-oriented environment. 

Qualifications 

Required: 

  • Must be currently enrolled in an accredited college or university and expected to graduate by Summer 2028 pursuing a bachelor's degree or higher in Artificial Intelligence, Computer Science, Computational Engineering, Data Science, Machine Learning, Robotics, or a related/equivalent program 
  • Strong academic track record (3.0 cumulative GPA required) 
  • You must reside within a commutable distance (e.g. 100-mile radius) of your assigned office with the ability to commute daily, if required 
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve. 
  • Ability to obtain and maintain a U.S. Security Clearance 
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future. 
  • Candidates must be at least 18 years of age at the time of employment. 

Preferred: 

  • 3.4 cumulative GPA preferred 
  • Internship, project, or coursework experience in artificial intelligence, computer science, computational engineering, data science, machine learning, or robotics. 

This is an entry-level opportunity intended for candidates interested in beginning or building a career in this field. We welcome applicants from a range of educational and professional backgrounds who meet the qualifications for the role. For roles that require a year or more of work experience, please review the experienced jobs within our careers site. 

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current wage is $43/hour. 




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