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Entry Level Data Science Jobs (NOW HIRING)

Cox Automotive

Entry Level Data Engineer

Fairburn, GA

$67K - $100K/yr

... Data & Analytics team. This entry-level role is ideal for recent graduates or early-career ... Bachelor's degree in computer science, information systems, statistics, or a related analytical ...

SynergisticIT

AI & Machine Learning Engineer

Denver, CO · On-site

$117K - $141K/yr

Currently, we are looking for qualified entry-level Data Scientists who can apply Data Science principles to design, test, implement, and develop data-based solutions, including reporting, auditing ...

Cox Automotive

Entry Level Data Engineer

Decatur, GA

$67K - $100K/yr

... Data & Analytics team. This entry-level role is ideal for recent graduates or early-career ... Bachelor's degree in computer science, information systems, statistics, or a related analytical ...

Cox Automotive

Entry Level Data Engineer

Decatur, GA

$67K - $100K/yr

... Data & Analytics team. This entry-level role is ideal for recent graduates or early-career ... Bachelor's degree in computer science, information systems, statistics, or a related analytical ...

Cox Automotive

Entry Level Data Engineer

Conley, GA

$67K - $100K/yr

... Data & Analytics team. This entry-level role is ideal for recent graduates or early-career ... Bachelor's degree in computer science, information systems, statistics, or a related analytical ...

Cox Automotive

Entry Level Data Engineer

Marietta, GA

$67K - $100K/yr

... Data & Analytics team. This entry-level role is ideal for recent graduates or early-career ... Bachelor's degree in computer science, information systems, statistics, or a related analytical ...

Cox Automotive

Entry Level Data Engineer

Hapeville, GA

$67K - $100K/yr

... Data & Analytics team. This entry-level role is ideal for recent graduates or early-career ... Bachelor's degree in computer science, information systems, statistics, or a related analytical ...

Cox Automotive

Entry Level Data Engineer

Marietta, GA

$67K - $100K/yr

... Data & Analytics team. This entry-level role is ideal for recent graduates or early-career ... Bachelor's degree in computer science, information systems, statistics, or a related analytical ...

Cox Automotive

Entry Level Data Engineer

Mableton, GA

$67K - $100K/yr

... Data & Analytics team. This entry-level role is ideal for recent graduates or early-career ... Bachelor's degree in computer science, information systems, statistics, or a related analytical ...

Cox Automotive

Entry Level Data Engineer

Vinnings, GA

$67K - $100K/yr

... Data & Analytics team. This entry-level role is ideal for recent graduates or early-career ... Bachelor's degree in computer science, information systems, statistics, or a related analytical ...

Cox Automotive

Entry Level Data Engineer

Pine Lake, GA

$67K - $100K/yr

... Data & Analytics team. This entry-level role is ideal for recent graduates or early-career ... Bachelor's degree in computer science, information systems, statistics, or a related analytical ...

Cox Automotive

Entry Level Data Engineer

Tucker, GA

$67K - $100K/yr

... Data & Analytics team. This entry-level role is ideal for recent graduates or early-career ... Bachelor's degree in computer science, information systems, statistics, or a related analytical ...

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Entry Level Data Science information

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$10

$19

$26

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

As of Jun 19, 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.

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.
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Entry Level Data Science jobs near you
Infographic showing various Entry Level Data Science job openings in the United States as of June 2026, with employment types broken down into 94% Full Time, and 6% Part Time. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $39,629 per year, or $19.1 per hour.
Entry Level Data Engineer

Entry Level Data Engineer

Cox Automotive

Fairburn, GA

$67K - $100K/yr

Full-time

PTO

Posted 9 days ago

Cox Automotive rating

7.8

Company rating: 7.8 out of 10

Based on 134 frontline employees who took The Breakroom Quiz

89th of 138 rated financial services

Job description

Enterprise Platforms - Data & Analytics, Data Engineer I
Cox Automotive is seeking a motivated Data Engineer I to join our Data & Analytics team. This entry-level role is ideal for recent graduates or early-career professionals who are eager to build, maintain, and improve data solutions that impact all of Cox Automotive. You will work alongside experienced engineers who will mentor you as you grow your skills in data pipeline development, data discovery, definition alignment, mapping, profiling, and auditing. A key differentiator for this role is hands-on comfort with AI-powered engineering tools; you should already be using tools like Claude Code, GitHub Copilot, or similar AI assistants to write, review, and ship code faster.
Responsibilities
  • Collaborate with data architects, data analysts, visualization developers, other data engineers, and business stakeholders to build and maintain data assets in a cloud-computing environment
  • Learn and apply techniques to improve data dependability and quality, and reduce manual effort through automation
  • Help investigate, communicate, and resolve data integrity issues that may impact business performance
  • Assist in developing and maintaining data assets by analyzing data from internal and external sources and making newly created data assets available across Cox Automotive
  • Participate in team activities within an Agile environment, including design discussions, code reviews, implementation, delivery estimates, and production support
  • Ensure data follows all information privacy and protection policies
  • Use AI-powered coding assistants such as GitHub Copilot and Claude Code daily to accelerate development, improve code quality, and streamline peer review workflows
  • Apply spec-driven development practices, using AI tools to translate specifications into well-structured, testable code
  • Gain exposure to cloud-native AI Services (e.g., Snowflake Cortex, AWS Bedrock/AgentCore) and contribute to efforts that enhance data pipelines and enable intelligent data processing
  • Follow responsible AI practices within the team, including prompt engineering, AI output validation, and governance of AI-generated code

Required Skills and Qualifications
  • Bachelor's degree in computer science, information systems, statistics, or a related analytical field
  • Up to one year of professional, contract, or internship experience in data engineering (new graduates welcome)
  • Solid SQL skills with an understanding of relational database concepts and the ability to write and troubleshoot queries
  • Foundational Python programming skills, whether gained through coursework, personal projects, or early professional experience
  • Demonstrated experience using AI-powered developer tools (e.g., GitHub Copilot, Claude Code, ChatGPT, or similar) for code generation, completion, or review in any setting-full-time role, internship, or college coursework
  • Familiarity with cloud-computing concepts; exposure to Snowflake and/or AWS environments is a plus
  • General awareness of data platform and data warehouse concepts
  • Strong critical thinking, analytical, and problem-solving skills
  • Eagerness to learn from and be mentored by a collaborative, experienced engineering team
  • Ability to work both independently and as part of a team in a fast-paced environment

Preferred Skills and Qualifications
  • Exposure to or interest in spec-driven development workflows where AI tools are used to translate requirements into code
  • Familiarity with Snowflake Cortex for AI-powered data enrichment, text analytics, or anomaly detection
  • Awareness of AWS Bedrock, AWS AgentCore, or other cloud-based AI services
  • Entry-level cloud or data certifications such as AWS Cloud Practitioner, Snowflake SnowPro Core, or equivalent
  • Any AI-related certifications from Snowflake, AWS, or other recognized providers
  • Experience with version control systems (e.g., Git/GitHub) and CI/CD fundamentals
  • Experience working in or familiarity with Agile/Scrum methodologies

USD 67,100.00 - 100,700.00 per year
Compensation:
Compensation includes a base salary in the range of $67,100.00 - $100,700.00. The base salary may vary within the anticipated base pay range based on factors such as the ultimate location of the position and the selected candidate's knowledge, skills, and abilities. Position may be eligible for additional compensation that may include an incentive program.
Benefits:
The Company offers eligible employees the flexibility to take as much vacation with pay as they deem consistent with their duties, the company's needs, and its obligations; seven paid holidays throughout the calendar year; and up to 160 hours of paid wellness annually for their own wellness or that of family members. Employees are also eligible for additional paid time off in the form of bereavement leave, time off to vote, jury duty leave, volunteer time off, military leave, and parental leave.
Applicants must currently be authorized to work in the United States for any employer without current or future sponsorship.
EOE, including disability/vets

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About Cox Automotive

Sourced by ZipRecruiter

At Cox Automotive, people of every background are driven by their passion for mobility, innovation and community. We transform the way the world buys, sells, owns and uses cars, accelerating the industry with global powerhouse brands like Autotrader, Kelley Blue Book, Manheim and more. What's more, we do it all with an emphasis on employee growth and happiness. Drive your future forward and join Cox Automotive today! Cox empowers employees to build a better future and has been doing so for over 120 years. With exciting investments and innovations across transportation, communications, cleantech and healthcare, our family of businesses - which includes Cox Automotive and Cox Communications - is forging a better future for us all. Ready to make your mark? Join us today! Benefits of working at Cox may include health care insurance (medical, dental, vision), retirement planning (401(k)), and paid days off (sick leave, parental leave, flexible vacation/wellness days, and/or PTO). For more details on what benefits you may be offered, visit our benefits page . Cox is an Equal Employment Opportunity employer - All qualified applicants/employees will receive consideration for employment without regard to that individual's age, race, color, religion or creed, national origin or ancestry, sex (including pregnancy), sexual orientation, gender, gender identity, physical or mental disability, veteran status, genetic information, ethnicity, citizenship, or any other characteristic protected by law. Cox provides reasonable accommodations when requested by a qualified applicant or employee with disability, unless such accommodations would cause an undue hardship. Statement to ALL Third-Party Agencies and Similar Organizations: Cox accepts resumes only from agencies with which we formally engage their services. Please do not forward resumes to our applicant tracking system, Cox employees, Cox hiring manager, or send to any Cox facility. Cox is not responsible for any fees or charges associated with unsolicited resumes.

Industry

Automobile dealers and technology, communication and media

Company size

5,001 - 10,000 Employees

Headquarters location

Atlanta, GA, US

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