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Science Without Degree Jobs (NOW HIRING)

You will work closely with analysts, data scientists, software/system engineers, and systems ... Experience Required: 8 years with Bachelor's degree in a technical field, or 12 years without ...

This position exists to advance the organization's AI/ML and data science capabilities across ... Without degree: A minimum of seven (7) years of relevant professional experience, including ...

This position exists to advance the organization's AI/ML and data science capabilities across ... Without degree: A minimum of seven (7) years of relevant professional experience, including ...

You will collaborate closely with analysts, operators, data scientists, and other software ... Experience Required: 12 years with Bachelor's degree in technical field, or 10 years without degree ...

Senior AI Data Scientist I

Alameda, CA · On-site

$143.50 - $203/hr

Education*** Bachelor's degree in Data Science, Computer Science, Statistics, Biostatistics ... Without degree: A minimum of seven (7) years of relevant professional experience, including ...

This position exists to advance the organization's AI/ML and data science capabilities across ... Without degree: A minimum of seven (7) years of relevant professional experience, including ...

Senior AI Data Scientist I

Alameda, CA · On-site

$143.50 - $203/hr

The position exists to advance the organization's AI/ML and data science capabilities across ... Without degree - minimum seven (7) years of relevant professional experience. * Intermediate ...

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Science Without Degree information

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$24.5K

$48.4K

$79K

How much do science without degree jobs pay per year?

As of Aug 9, 2026, the average yearly pay for science without degree in the United States is $48,391.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,500.00 and $52,000.00 per year, depending on experience, location, and employer.

Can you get a job in science without a degree?

Science Without Degree roles often require relevant skills, certifications, or experience in areas such as laboratory work, data analysis, or technical tools. While a degree can be beneficial, some entry-level positions or apprenticeships may be available to those with practical knowledge and demonstrated abilities.

What is the difference between Science Without Degree vs Laboratory Technician?

AspectScience Without DegreeLaboratory Technician
Required CredentialsOften no formal degree, relies on self-education or certificationsTypically requires a diploma or associate degree in laboratory sciences
Work EnvironmentIndependent, freelance, or online platformsLaboratory settings, hospitals, research facilities
Industry UsageUsed in informal consulting, online content creationCommonly employed in healthcare, research, and diagnostics

Science Without Degree often involves self-taught knowledge and informal work, while Laboratory Technicians usually hold formal certifications and work in structured lab environments. Both roles serve scientific purposes but differ significantly in credentials and work settings.

More about Science Without Degree jobs
What cities are hiring for Science Without Degree jobs? Cities with the most Science Without Degree job openings:
What states have the most Science Without Degree jobs? States with the most job openings for Science Without Degree jobs include:
Infographic showing various Science Without Degree job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 9% Part Time, and 3% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $48,391 per year, or $23.3 per hour.

Senior Applied AI Engineer - Data Science & Analytics with Security Clearance

Neural Solutions

Columbia, MD • On-site

$204K - $247K/yr

Other

Posted 9 days ago


Job description


Join a fast-moving AI team focused on delivering mission-critical AI capabilities that enable analysts and operators to make better, faster decisions. As a Senior Applied AI Engineer specializing in Data Science & Analytics, you will develop AI-enabled analytical tools that transform large and complex datasets into actionable mission insights. Responsibilities: * Design and develop AI-enabled analytics applications using Python and modern software engineering practices. * Perform exploratory data analysis, feature engineering, statistical analysis, and machine learning on mission datasets. Required Skills: * Experience developing production software using Python. * Experience with data science, machine learning, or statistical analysis. * Experience using libraries such as Pandas, NumPy, Scikit-learn, or similar. * Experience building AI or machine learning applications. * Strong analytical and problem-solving skills. * Experience working with SQL, Elasticsearch, or other large-scale data platforms. * Ability to communicate technical concepts to both technical and non-technical stakeholders. * Experience collaborating directly with customers to solve analytical problems. Nice to Have: * Experience with LLMs, prompt engineering, or retrieval-augmented generation (RAG). * Experience with geospatial analysis, pattern-of-life analytics, or time-series analysis. * Experience with data visualization tools and dashboard development. * Experience deploying machine learning models into production. Experience Required: 12 years with Bachelor's degree in a technical discipline or 4 additional years without degree Location: Columbia, MD Clearance: TS/SCI with Polygraph required Salary Range: $204,000 - $247,000