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

Pwc

Data Validation Risk - Senior Associate

Washington, DC · On-site

$77K - $202K/yr

Analytics/Data Science, Business Administration/Management, Computer Science/Information Systems ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

ManTech

Junior AI/ML Strategist

Arlington, VA · Hybrid

$98K - $163K/yr

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

Targeted Victory

Junior AI Engineer

Arlington, VA · Hybrid

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

Targeted Victory

Junior AI Engineer

Arlington, VA · Hybrid

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

Targeted Victory

Junior AI Engineer

Arlington, VA · On-site

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

Kearney & Company

Data Analyst

Alexandria, VA · On-site

$62K - $85K/yr

This position is a great entry-level opportunity for new graduates who want hands-on dynamic ... BA/BS degree from an accredited college/university in Computer Science, Statistics, or Information ...

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Entry Level Data Science information

See Lanham, MD salary details

$10

$19

$26

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

As of Aug 10, 2026, the average hourly pay for entry level data science in Lanham, MD is $19.07, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $21.39 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.

What are the most commonly searched types of Data Science jobs in Lanham, MD? The most popular types of Data Science jobs in Lanham, MD are:
What are popular job titles related to Entry Level Data Science jobs in Lanham, MD? For Entry Level Data Science jobs in Lanham, MD, the most frequently searched job titles are:
What cities near Lanham, MD are hiring for Entry Level Data Science jobs? Cities near Lanham, 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 Lanham, MD as of July 2026, with employment types broken down into 1% As Needed, 87% Full Time, 9% Part Time, 1% Temporary, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $39,662 per year, or $19.1 per hour.

Full Stack Developers - $$$ - FS Poly with Security Clearance

SRC

Reston, VA • On-site

Other

Retirement, PTO

Re-posted 23 days ago

Job description

Our client is a woman-owned firm that specializes in custom Software Development, Big Data Analytics, Data Science, and Cloud Computing for both government and commercial customers. They provide cloud solutions utilizing technologies such as Spark, AWS, Azure, Cloudera, Kubernetes, and Google Cloud and offer real-time analytics with Spark Streaming and Tensorflow. The culture here is focused on creativity, collaboration, continuous learning, and getting results to further the mission. They offer excellent salaries, an 8% 401k contribution, and a great training budget ($5K and an additional 5 days PTO just for training) all with a family-oriented feel. They have several openings for Full Stack Developers at all levels, from entry level to Senior with excellent rates.  For consideration, you will need: - Experience with full-stack development in an Agile environment - Experience with Java, Angular, Spring and C2S - Experience with software testing tools such as Junit - Experience with scripting languages (Bash, Python) - Experience in Cloud computing platforms (Google Cloud, Azure or AWS) US Citizenship and active TS/SCI+FS Poly are required. This work is performed onsite in Reston, VA.

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