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Entry Level Data Science Certificate Jobs (NOW HIRING)

LLNL

Data Science Engineer

Livermore, CA · On-site

$121K - $154K/yr

Wehave multiple openings for early-career Data Science Engineers to join a team applying machine ... certifications, experience, skills, seniority, geographic location, performance, and business or ...

LLNL

Data Science Engineer

Livermore, CA

$121K - $154K/yr

We have multiple openings for early-career Data Science Engineers to join a team applying machine ... certifications, experience, skills, seniority, geographic location, performance, and business or ...

SynergisticIT

BI Engineer

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 ...

Link Up Overseas

Virtual Data Entry Assistant (Part-Time)

$17.25 - $22.75/hr

Remote Entry-Level Data Entry Assistant Are you looking for an exciting opportunity to kickstart ... High school diploma or equivalent; additional certifications or relevant courses are a plus.

NCSU

Lecturer of Data Science

Raleigh, NC

$4.0K/wk

The Data Science and AI Academy's goal is to network and catalyze data science across all three ... Preferred Qualifications N/A Required License(s) or Certification(s) N/A Valid NC Driver's License ...

NCSU

Lecturer of Data Science

Raleigh, NC

$4.0K/wk

The Data Science and AI Academy's goal is to network and catalyze data science across all three ... Preferred Qualifications N/A Required License(s) or Certification(s) N/A Valid NC Driver's License ...

SynergisticIT

Entry Level Data Engineer

$117K - $140K/yr

Recent graduates in Computer Science, Engineering, Mathematics, Statistics, or related STEM fields ... Data Analysts, Data Scientists * Data Engineers & AI/Machine Learning Engineers Preferred Skills ...

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 ...

Lantern

Data Scientist

Dallas, TX · On-site

... science or related field * Experience building solutions with Azure AI Services (OpenAI, Vision, Speech, etc.), Microsoft Fabric or Azure Data Factory. * AI-102 (Microsoft Certified: Azure AI ...

SynergisticIT

Entry Level Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Recent graduates in Computer Science, Engineering, Mathematics, Statistics, or related STEM fields ... Data Analysts, Data Scientists * Data Engineers & AI/Machine Learning Engineers Preferred Skills ...

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All JobsEntry Level Data Science Certificate Jobs

Entry Level Data Science Certificate information

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

As of Jul 3, 2026, the average hourly pay for entry level data science certificate in the United States is $19.47, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $21.88 per hour, depending on experience, location, and employer.

Is a certificate in data science worth IT?

A certificate in data science can be valuable for entry-level data science roles by demonstrating foundational skills in programming, statistics, and data analysis tools like Python or R. It can help improve job prospects and provide a structured learning path, but practical experience and a strong portfolio are also important for career advancement.

What is the difference between Entry Level Data Science Certificate vs Data Analyst?

AspectEntry Level Data Science CertificateData Analyst
Required CredentialsCertificate programs, basic programming, statisticsDegree in data-related field, some certifications
Work EnvironmentTraining programs, entry-level roles, data teamsBusiness, finance, healthcare, government
Employer & Industry UsageEmployers seeking foundational data skillsOrganizations analyzing data for decision-making

The Entry Level Data Science Certificate provides foundational skills in data analysis, programming, and statistics, preparing individuals for entry-level roles. Data Analysts typically have a degree and apply these skills in various industries to interpret data and support business decisions. While both roles involve working with data, the certificate is a stepping stone, whereas Data Analysts are often fully employed professionals with broader responsibilities.

What jobs can I get with a certificate in data science?

With an entry-level data science certificate, common roles include data analyst, junior data scientist, or business intelligence analyst. These positions typically require skills in programming languages like Python or R, data visualization tools, and basic statistical knowledge, often involving working with datasets to generate insights and support decision-making.

What types of projects or tasks can I expect to work on as an entry-level data scientist after earning a certificate?

As an entry-level data scientist, you’ll typically support more senior team members by cleaning and organizing data, performing exploratory data analysis, and building basic predictive models. You may also help visualize data trends and prepare reports for non-technical stakeholders. Collaborating closely with data engineers, analysts, and business teams, you’ll gain hands-on experience with real-world datasets, learn to communicate findings effectively, and gradually take on more complex analytical tasks as your skills grow.

What is an Entry Level Data Science Certificate?

An Entry Level Data Science Certificate is a credential that demonstrates foundational knowledge and skills in data science. It typically covers core topics such as data analysis, statistics, programming (often in Python or R), and basic machine learning concepts. These certificates are designed for individuals new to the field and can help them qualify for junior roles or internships in data science. Completing such a program can also enhance a resume and provide a stepping stone toward more advanced study or professional certifications.

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 solid understanding of statistics, data analysis, programming (usually in Python or R), and often a relevant degree or data science certificate. Familiarity with data visualization tools (such as Tableau or Power BI), machine learning libraries (like scikit-learn or TensorFlow), and SQL databases is typically required. Strong problem-solving abilities, curiosity, and effective communication skills help you translate complex data insights into actionable business strategies. These skills and qualities are crucial for analyzing data accurately, communicating findings clearly, and making a tangible impact in data-driven organizations.

Is 40 too late for data science?

Entry level data science certificates are accessible to individuals of any age, including those starting at 40 or older. Success in data science depends more on skills, such as programming, statistics, and tools like Python or R, than on age, and many professionals transition into the field later in life through certifications and self-study.

Can I get a data scientist job with no experience?

Entry-level data scientist roles often require some knowledge of programming languages like Python or R, and familiarity with data analysis tools. While prior experience is preferred, completing a data science certificate can help demonstrate skills and improve chances of securing an entry-level position, especially if supplemented with projects or internships.
More about Entry Level Data Science Certificate jobs
What are the most commonly searched types of Data Science Certificate jobs? The most popular types of Data Science Certificate jobs are:
What job categories do people searching Entry Level Data Science Certificate jobs look for? The top searched job categories for Entry Level Data Science Certificate jobs are:
Entry Level Data Science Certificate jobs near you
Infographic showing various Entry Level Data Science Certificate job openings in the United States as of June 2026, with employment types broken down into 89% Full Time, 8% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $40,504 per year, or $19.5 per hour.
Data Science Engineer

Data Science Engineer

LLNL

Livermore, CA • On-site

$121K - $154K/yr

Full-time

Retirement

Posted 12 days ago

Job description

Company Description
Join us and make YOUR mark on the World!
Lawrence Livermore National Laboratory (LLNL) has turned bold ideas into world-changing impact advancing science and technology to strengthen U.S. security and promote global stability.
Our mission spans four critical national security areas nuclear deterrence, threat preparedness, energy security, and multi-domain defense empowering teams to take on the toughest challenges of today and tomorrow. With a culture built on innovation and operational excellence, LLNL is a place where your expertise can make a real impact.
Job Description
Wehave multiple openings for early-career Data Science Engineers to join a team applying machine learning, AI/NLP, and data science to national security challenges. You will contribute to the design, development, and deployment of AI-driven capabilities - including large language models (LLM)-based pipelines, knowledge graphs, and intelligent agent prototypes - that advance data and decision sciences for national security. Working alongside senior engineers and domain experts, you will write production-quality code, help build analytical tools and visualizations, and contribute fresh ideas to challenging problems. These positions are in the Computational Engineering Division (CED), within the Engineering Directorate, in support of impactful Global Security Directorate missions.
Depending on your assignment, this position may offer a hybrid schedule, blending in-person and virtual presence. You may have the flexibility to work from home one or more days per week.
You will
  • Under the guidance of senior team members, apply machine learning and data science algorithms to help analyze national security datasets.
  • Contribute to LLM-driven data pipelines for information extraction, entity resolution, and automated analysis of large-scale structured and unstructured datasets.
  • Help build and maintain knowledge graphs and graph-based analytics (e.g., graph-RAG) to model relationships across national security domains.
  • Assist in prototyping AI agents and conversational interfaces that allow analysts to query data science capabilities through natural language.
  • Write clean, well-documented code to implement data science solutions, create visualizations, and support analytical tools, following software engineering best practices for version control, testing, and documentation.
  • Collaborate with multidisciplinary teams including intelligence analysts, domain scientists, and computer scientists in building research prototypes and capabilities.
  • Contribute to technical reports, internal presentations, and peer-reviewed publications and conference papers.
  • Perform other duties as assigned.

Qualifications
  • Ability to secure and maintain a U.S. DOE Q-level security clearance, which requires U.S. citizenship.
  • Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, Physics, or a related technical field.
  • Experience with Python programming and software development, including version control (Git), testing, and documentation (through academics, internships, or research projects).
  • Demonstrated experience developing generative AI solutions, such as building applications with LLMs, implementingretrieval-augmented generation (RAG), fine-tuning foundation models, or engineering LLM-driven data pipelines.
  • Experience in the space domain, such as space domain awareness, satellite operations, orbital analysis, or applying data science methods to space-related datasets.
  • Sufficient communication and interpersonal skills necessary to collaborate in a multidisciplinary team environment and present technical information to varied audiences.

Qualifications We Desire
  • Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related technical field.
  • Experience building LLM-driven workflows for automating question-answering, summarization, or structured report generation.
  • Experience constructing knowledge graphs from extracted entities and relationships and applying graph-based retrieval (e.g., graph-RAG) to enable intelligent querying over complex domains.
  • Experience developing AI agents or chatbot interfaces - using frameworks such as LangChain, LlamaIndex, or similar - that allow end users to interact with underlying data and models through natural language.
  • Track record of publications, conference presentations, and deployed prototypes.

Pay Range
$121,830 - $154,500 Annually
This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting; pay will not be below any applicable local minimum wage.An employee's position within the salary range will be based on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, and business or organizational needs.
Pay Range
Additional Information
#LI-Hybrid
Position Information
This is a Career Indefinite position, open to Lab employees and external candidates.
Why Lawrence Livermore National Laboratory?
  • Included in 2026Best Places to Work by Glassdoor!
  • Flexible Benefits Package
  • 401(k)
  • Relocation Assistance
  • Education Reimbursement Program
  • Flexible schedules (*depending on project needs)
  • Our values - visit https://www.llnl.gov/inclusion/our-values

Security Clearance
This position requires a Department of Energy (DOE) Q-level clearance. Also, you must have the ability to obtain and maintain Sensitive Compartmented Information (SCI) access.If you are selected, we willinitiate a Federal background investigation to determine if youmeet eligibility requirements for access to classified information or matter. Also, all L or Q cleared employees are subject to random drug testing. Q-level clearance requires U.S. citizenship.
Pre-Employment Drug Test
External applicant(s) selected for this position must pass a post-offer, pre-employment drug test. This includes testing for use of marijuana as Federal Law applies to us as a Federal Contractor.
Wireless and Medical Devices
Per the Department of Energy (DOE), Lawrence Livermore National Laboratory must meet certain restrictions with the useand/or possession ofmobile devices in Limited Areas. Depending on your job duties, you may be required to work in a Limited Area whereyou are not permitted to have a personal and/or laboratory mobile devicein your possession. This includes, but not limited to cell phones, tablets, fitness devices, wireless headphones, and other Bluetooth/wireless enabled devices.
Ifyou useamedical device, whichpairs with a mobile device,you must still follow the rules concerningthe mobile device in individual sections within Limited Areas. Sensitive Compartmented Information Facilities requireseparate approval. Hearing aids without wireless capabilities or wireless that has been disabled are allowed in Limited Areas, Secure Space and Transit/Buffer Space within buildings.
How to identify fake job advertisements
Please be aware of recruitment scams where people or entities are misusing the name of Lawrence Livermore National Laboratory (LLNL) to post fake job advertisements. LLNL never extends an offer without a personal interview and will never charge a fee for joining our company. All current job openings are displayed on the Career Page under "Find Your Job" of our website. If you have encountered a job posting or have been approached with a job offer that you suspect may be fraudulent, we strongly recommend you do not respond.
To learn more about recruitment scams: https://www.llnl.gov/sites/www/files/2023-05/LLNL-Job-Fraud-Statement-Updated-4.26.23.pdf
Equal Employment Opportunity
We are an equal opportunity employer that is committed to providing all with a work environment free of discrimination and harassment. All qualified applicants will receive consideration for employment without regard to race, color, religion, marital status, national origin, ancestry, sex, sexual orientation, gender identity, disability, medical condition, pregnancy, protected veteran status, age, citizenship, or any other characteristic protected by applicable laws.
Reasonable Accommodation
Our goal is to create an accessible and inclusive experience for all candidates applying and interviewing at the Laboratory. If you need a reasonable accommodation during the application or the recruiting process, please use our online form to submit a request.
CaliforniaPrivacy Notice
The California Consumer Privacy Act (CCPA) grants privacy rights to all California residents. The law also entitlesjob applicants, employees, and non-employee workers to be notified of what personal information LLNL collects and for what purpose. The Employee Privacy Notice can be accessed here .

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