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Entry Level Data Science Jobs (NOW HIRING)

Procter & Gamble

Data Scientist

Cincinnati, OH · On-site

$85K - $122K/yr

Job Location CINCINNATI GENERAL OFFICES Do you enjoy solving billion-dollar data science problems ... Job Schedule Full time Job Number R000135859 Job Segmentation Entry Level Starting Pay / Salary ...

Proctor & Gamble

Data Scientist

Cincinnati, OH

$85K - $122K/yr

Job Location CINCINNATI GENERAL OFFICES Do you enjoy solving billion-dollar data science problems ... Job Schedule Full time Job Number R000135859 Job Segmentation Entry Level Starting Pay / Salary ...

Dhalite Inc.

Entry level Data Analyst

Chicago, IL · On-site

Bachelor s degree in Data Science, Computer Science, Statistics, Information Systems, or a related field. Strong knowledge of data analysis, statistical techniques, and data visualizations Experience ...

New

Aerotek

ENTRY LEVEL!! Data Collector

San Jose, CA · On-site

$30 - $33/hr

Robot Data Collectors All Shifts Available (Morning, Swing, Overnight) As a Robot Data Collector ... science, or technology backgrounds ✅ Be part of an innovative team building the future of ...

New

Aerotek

ENTRY LEVEL!! Data Collector

San Jose, CA · On-site

$30 - $33/hr

Robot Data Collectors All Shifts Available (Morning, Swing, Overnight) As a Robot Data Collector ... science, or technology backgrounds ✅ Be part of an innovative team building the future of ...

New

Ookla

Data Engineer

Denver, CO

$85K - $125K/yr

The Opportunity: We're looking for an entry level Data Engineer to join the Ookla Data Engineering ... Support and collaborate with data scientists, analysts, and product managers Job Requirements:

New

SynergisticIT

Entry Level Data Scientiest

Los Angeles, CA · On-site

$18 - $24/hr

Identify valuable data sources and automate collection processes * Undertake preprocessing of ... Bachelors, Masters in Computer Science/ Computer Engineering/ Information Systems/Information ...

Ookla

Data Engineer

Denver, CO

The Opportunity: We're looking for an entry level Data Engineer to join the Ookla Data Engineering ... Support and collaborate with data scientists, analysts, and product managers Job Requirements:

New

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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 Aug 8, 2026, the average hourly pay for entry level data science in the United States is $19.05, 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.

More about Entry Level Data Science jobs
What cities are hiring for Entry Level Data Science jobs? Cities with the most Entry Level Data Science job openings:
What are the most commonly searched types of Data Science jobs? The most popular types of Data Science jobs are:
What states have the most Entry Level Data Science jobs? States with the most job openings for Entry Level Data Science jobs include:
What job categories do people searching Entry Level Data Science jobs look for? The top searched job categories for Entry Level Data Science jobs are:
Entry Level Data Science jobs near you
Infographic showing various Entry Level Data Science job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $39,629 per year, or $19.1 per hour.

Computer/Data Scientist(Entry Level) (Job #712)

Defense Acquisition Support Services

Bel Air, MD • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Summary
Defense Acquisition Support Services (DAS) is seeking an entry-level Computer/Data Scientist to support our customer at Aberdeen Proving Ground, MD. This position is ideal for a recent graduate or early-career professional with a degree in Data Analytics, Data Science, Computer Science, or a related field who has a passion for transforming data into meaningful visualizations and actionable insights.
Working alongside experienced government and contractor personnel, you will develop dashboards, communicate data-driven insights, and support decision-making for Department of Defense programs using Microsoft and Palantir technologies.
Responsibilities
  • Develop interactive dashboards and reports using Microsoft and/or Palantir platforms.
  • Analyze data and present findings through compelling visualizations and data storytelling techniques.
  • Transform complex datasets into clear, actionable insights for government and military leadership.
  • Support data collection, validation, and preparation for analysis.
  • Collaborate with stakeholders to understand reporting requirements and business needs.
  • Assist in maintaining data quality, consistency, and accuracy across reporting solutions.
  • Support ad hoc reporting and analytical requests.
  • Document analytical processes and provide user support as needed.
  • Learn and apply to the Department of Defense data management and governance practices.

Required Qualifications
  • Active Secret Clearance (required).
  • Bachelor's degree in Data Analytics, Data Science, Computer Science, Information Systems, Statistics, Mathematics, or a related field.
  • Entry-level experience (0-2 years) in data analytics, business intelligence, or data visualization.
  • Experience creating dashboards and reports using Microsoft or Palantir platforms (academic, internship, or professional experience accepted).
  • Understanding of data visualization principles and the ability to communicate insights through effective storytelling.
  • Strong analytical, critical thinking, and problem-solving skills.
  • Excellent written and verbal communication skills.
  • Proficiency with Microsoft Office applications, particularly Excel.

Preferred Qualifications
  • Familiarity with Army Logistics operations.
  • Familiarity with Army Vantage.
  • Experience with Microsoft Power BI.
  • Experience using SQL or Python for basic data analysis.
  • Internship or project experience supporting government or defense organizations.

About DAS: Defense Acquisition Support Services is a Women Owned Small Business focused on hiring the very best people in Defense Contracting. As a Systems Engineering and Technical Assistance (SETA) focused organization, we partner with the government to help them achieve Mission Success. Established in 2007, we have remained "People Focused" and understand the secret to organizational success is the team. Our "People Focused" approach enables us to hire, retain, and help our teammates succeed and assist them by providing the very best possible support available to our government customers.
The DAS Culture: We are "People Focused." Each team member gets an employee concierge who is charged with helping ensure personal and professional success for our people. We care and try to help people find the right fit so they can find happiness, development, and a rewarding career. We succeed by helping you succeed.
DAS Benefits: We provide real benefits for our team that includes:
  • Free Health Care from Aetna
  • Dental Coverage
  • Vision Coverage
  • Paid Time Off
  • 401K
  • Employer Paid Group Life
  • Flexible Spending Accounts
  • Professional Development Training

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