ZipRecruiter

Log In

2

Entry Level Data Science Jobs in Maryland (NOW HIRING)

Accenture

Data Protection, A/SA-Evergreen

Baltimore, MD · On-site

$84K - $100K/yr

Degree in Information Technology, Cybersecurity, Computer Science, or related field (or equivalent ... Prior internship, academic project, or entry-level experience in security or compliance is a plus.

previous pagenext page

Showing results 21-40

All JobsData Science JobsEntry Level Data Science JobsEntry Level Data Science Jobs in Maryland

Entry Level Data Science information

See Maryland salary details

$10

$18

$26

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

As of Sep 3, 2026, the average hourly pay for entry level data science in Maryland is $18.49, according to ZipRecruiter salary data. Most workers in this role earn between $15.62 and $20.77 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 Maryland?

The most popular types of Data Science jobs in Maryland are:

What are popular job titles related to Entry Level Data Science jobs in Maryland?

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

What job categories do people searching Entry Level Data Science jobs in Maryland look for?

The top searched job categories for Entry Level Data Science jobs in Maryland are:

What cities in Maryland are hiring for Entry Level Data Science jobs?

Cities in Maryland 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 Maryland as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 11% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $38,462 per year, or $18.5 per hour.

Data Acquisition Coordinator (Entry-Level)

BLR | Leadership Platforms | CCMI

Rockville, MD • On-site

Full-time

Re-posted 16 days ago

Job description

At the heart of our company is our people.  People from many different backgrounds with different vantage points, opinions, and experiences.  We strive to continually lead with our IMPACT values and empower our employees to develop their full potential on a team that is passionate about acceptance, inclusivity, and achievement. Our employees are the driving force for the innovation, collaboration and creativity that enables our organization to deliver strategic success. 

Job Summary:
CCMI, a Simplify Compliance business, has been delivering high-quality and high-value products, services and events to communications service providers and enterprise end users since 1971. As a Data Acquisition Coordinator for FiberLocator, you will be responsible for collecting, formatting and tracking data collected from multiple sources. You will work closely with product management, sales, marketing and development.
Primary Duties and Responsibilities:

  • Acquiring various data set updates to populate FiberLocator
  • Format and upload all data to our SaaS platform
  • Manage relationships and receive updates from existing contacts
  • Research new companies and contacts for outreach to collect new data
  • Maintain schedule of updates
  • Track and report new data and updates monthly
  • Audit internal systems for consistency and accuracy

Additional Responsibilities:

  • Additional duties as assigned

Critical Competencies

  • Ownership & Execution - Demonstrates a sense of ownership to drive issues to closure, maximizes the use of existing processes while continuously pursuing ways to improve efficiency, sets aggressive goals, monitors progress, and delivers results, seizes opportunities
  • Customer-Centric – Works to understand customer pain points to effectively align technical solutions with customer’s business, anticipate customer needs, and sets high standards for customer service

The Individual:

  • High degree of technical aptitude & proficiency with a wide range of software including Office 365
  • Customer service oriented with excellent attention to detail and strong organizational skills
  • Ability to work collaboratively with other internal stakeholders and high-powered clients
  • Willingness to self-learn techniques of data re-formatting and GIS processing tools
  • Strong presentation, writing, and communication skills
  • Data science, programming skills and/or Salesforce experience a plus
  • Strong communication and organizational skills
  • Able to meet daily deadlines
  • GIS skills and experience with QGIS or ArcGIS Pro preferred
  • High proficiency in MS Office applications, MS Teams

Qualifications:

  • Bachelor's degree
  • Available to work a hybrid schedule with up to 3 days in-office

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.

All external applicants must be legally eligible to immediately work in the country of hire without current or future sponsorship.

If you require an accommodation under the Americans with Disabilities Act, Section 503 of the Rehabilitation Act or similar law in order to apply for employment at Simplify Compliance, please contact our Talent Acquisition Team 1.800.727.5257, ext. 8101.

Job applicants may request to review the company's Affirmative Action plans by contacting the talent acquisition team/recruiter, Human Resources department or Chief People Officer.

Powered by JazzHR

VPGOs0rMdB