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Data Science Assistant Jobs (NOW HIRING)

LLNL

Data Science Engineer

Livermore, CA · On-site

$9.7K/wk

We have multiple openings for early-career Data Science Engineers to join a team applying machine ... * Assist in prototyping AI agents and conversational interfaces that allow analysts to query data ...

Athena LLC

We clear the way by pairing exceptional Executive Assistants with our driven clients, providing ... Role Overview The Data Science Intern will help us to understand the performance of Executive ...

LLNL

Data Science Engineer

Livermore, CA · On-site

$121K - $154K/yr

We have multiple openings for early-career Data Science Engineers to join a team applying machine ... * Assist in prototyping AI agents and conversational interfaces that allow analysts to query data ...

Athenago

Data Science Intern

Wilmington, DE

We clear the way by pairing exceptional Executive Assistants with our driven clients, providing ... Role Overview The Data Science Intern will help us to understand the performance of Executive ...

Barclays

Compliance Data Scientist

New York, NY · On-site

Collaborate with business stakeholders to seek out opportunities to add value from data through Data Science. Assistant Vice President Expectations * To advise and influence decision making ...

Further

Data Science Analyst

Atlanta, GA · On-site

They are seeking a Data Science Analyst who can interpret data to drive decision-making and ensure ... Assist in designing and executing reporting, analytics, and optimization briefs. • Partner ...

College Board

Data Scientist, Data Science Team

This is a full-time position About the Team The Data Science team provides critical insights and ... Advise other teams on Machine Learning projects and assist with establishing Machine Learning ...

Caterpillar

Data Science/Analyst

Chicago, IL · On-site

Launch your data science or technical analyst career by building AI and analytics solutions that ... creating agents, assistants, and chatbots * Ensure long-term connectivity through strategic ...

Superhuman

Director, Data Science

San Francisco, CA · On-site

$302K - $415K/yr

... AI assistant that understands context and delivers help automatically. Refounded in 2025 ... The Opportunity As Director, Data Science , you will lead the data science strategy and team for a ...

Further

Data Science Analyst

Cleveland, OH

We are looking for a Data Science Analyst who can not just report on performance, but also ... * Assist in designing and executing reporting, analytics, and optimization briefs. * Partner ...

Further

Data Science Analyst

Atlanta, GA · On-site

We are looking for a Data Science Analyst who can not just report on performance, but also ... * Assist in designing and executing reporting, analytics, and optimization briefs. * Partner ...

Generac

Data Science Analyst

Waukesha, WI

In the role of Data Science Analyst working onsite in Waukesha, Wisconsin you will be part of the ... The candidate will work on Enterprise data platform and other analytical projects as needed, assist ...

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Data Science Assistant information

What are Data Science Assistants?

Data Science Assistants are professionals who support data scientists and analytics teams by handling tasks such as data collection, data cleaning, preparing datasets, conducting preliminary analyses, and creating visualizations. They often work with large datasets, assist in maintaining data integrity, and help automate routine processes. Their role allows data scientists to focus on more complex modeling and analytical work, making the overall workflow more efficient. Data Science Assistants typically have a foundational understanding of statistics, programming (such as Python or R), and data management tools.

What are the key skills and qualifications needed to thrive as a Data Science Assistant, and why are they important?

To thrive as a Data Science Assistant, you need a solid understanding of statistics, data analysis, and programming (often with a background in mathematics, computer science, or a related field). Familiarity with tools like Python or R, data visualization software, and experience with databases or spreadsheet systems are typically required. Attention to detail, strong problem-solving abilities, and effective communication set outstanding candidates apart. These skills are crucial for supporting data-driven decision-making and ensuring accurate, actionable insights for organizations.

Is 40 too late for data science?

Data Science Assistants and other data science roles do not have strict age limits; many professionals start or transition into data science later in life. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, which can be learned at any age through online courses, certifications, and practical experience.

How does a Data Science Assistant typically collaborate with data scientists and other team members on projects?

As a Data Science Assistant, you will frequently support data scientists by preparing datasets, conducting preliminary data analysis, and creating visualizations. You will often work closely with analysts, engineers, and subject matter experts to gather requirements and ensure data is cleaned and formatted appropriately. Collaboration is a key part of the role, as you may participate in team meetings, share findings, and help with documentation to keep projects running smoothly. This supportive environment provides an excellent opportunity to learn from experienced professionals and gain exposure to the full data science workflow.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of the results come from 20% of the efforts or data. Data scientists often use this concept to focus on the most impactful features, data subsets, or tasks to improve model performance efficiently.

What is the difference between Data Science Assistant vs Data Analyst?

AspectData Science AssistantData Analyst
Required CredentialsBachelor's in Data Science, Statistics, or related fieldBachelor's in Statistics, Mathematics, or related field
Work EnvironmentTech companies, research labs, data-driven departmentsBusiness, finance, marketing, healthcare sectors
Employer & Industry UsageUsed in data science teams for supporting models and analysisUsed across industries for interpreting data and generating reports

While both roles involve working with data, a Data Science Assistant typically supports data science projects, focusing on data preparation and model testing. A Data Analyst primarily interprets data to generate insights and reports. The roles overlap in skills and work environments but differ in their core responsibilities and focus areas.

What do data assistants do?

Data Science Assistants support data analysis by collecting, cleaning, and organizing data sets. They often use tools like Excel, SQL, or Python to prepare data for modeling and reporting, assisting data scientists and analysts in project workflows.

Can I get a data scientist job with no experience?

Entry-level data science assistant roles often do not require prior experience, but candidates typically need a strong foundation in programming (such as Python or R), statistics, and data analysis. Gaining relevant skills through online courses, certifications, or personal projects can improve chances of securing such positions.
More about Data Science Assistant jobs
What cities are hiring for Data Science Assistant jobs? Cities with the most Data Science Assistant 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 Data Science Assistant jobs? States with the most job openings for Data Science Assistant jobs include:
What job categories do people searching Data Science Assistant jobs look for? The top searched job categories for Data Science Assistant jobs are:
Data Science Assistant jobs near you
Infographic showing various Data Science Assistant job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 75% Full Time, 21% Part Time, 1% Temporary, and 2% Contract. Highlights an 99% Physical, and 1% Remote job distribution.
Data Science Engineer

Data Science Engineer

LLNL

Livermore, CA • On-site

$9.7K/wk

Full-time

Retirement

Posted 29 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
We have 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, implementing retrieval-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 2026 Best 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 will initiate a Federal background investigation to determine if you meet 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 use and/or possession of mobile devices in Limited Areas. Depending on your job duties, you may be required to work in a Limited Area where you are not permitted to have a personal and/or laboratory mobile device in your possession. This includes, but not limited to cell phones, tablets, fitness devices, wireless headphones, and other Bluetooth/wireless enabled devices.
If you use a medical device, which pairs with a mobile device, you must still follow the rules concerning the mobile device in individual sections within Limited Areas. Sensitive Compartmented Information Facilities require separate 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.
California Privacy Notice
The California Consumer Privacy Act (CCPA) grants privacy rights to all California residents. The law also entitles job 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.
Videos To Watch
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