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Temporary Bachelor Applied Science Jobs (NOW HIRING)

Future Secure AI

Data Scientist, Applied Science

Austin, TX · On-site

$110K - $210K/yr

As an Applied Scientist, you will be a key contributor to the development and improvement of the AI ... Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field * Strong ...

Ramp

Senior Applied Scientist, Credit Risk

Required : • Bachelor's degree or above in Math, Economics, Bioinformatics, Statistics ... Science, or other quantitative fields. • 5+ years of industry experience as an Applied Scientist ...

Ramp

Senior Applied Scientist, Credit Risk

New York, NY · On-site

$165K - $228K/yr

Bachelor's degree or above in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative fields. * 5+ years of industry experience as an Applied Scientist ...

Ramp

Senior Applied Scientist, Credit Risk

New York, NY · Remote

$165K - $228K/yr

Bachelor's degree or above in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative fields. * 5+ years of industry experience as an Applied Scientist ...

Microsoft

Principal Applied Scientist

Redmond, WA · On-site

We are seeking a Principal Applied Scientist Architect to integrate GenAI and agentic systems into ... Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering ...

Clipboard Health

Applied Scientist

San Francisco, CA · On-site

$160K - $225K/yr

About the Role We're building a new team, Applied Science, and we're looking for our first outside ... Bachelor's degree in quantitative field: economics, statistics, engineering, mathematics, etc or ...

Viant Technology

Senior Manager, Applied Science

Irvine, CA · On-site

$180K - $220K/yr

We are seeking an experienced and visionary Senior Manager, Applied Science to lead the development ... Bachelor's degree in Computer Science, Engineering, or a related field; Master's degree preferred.

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Temporary Bachelor Applied Science information

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How much do temporary bachelor applied science jobs pay per hour?

As of Jul 1, 2026, the average hourly pay for temporary bachelor applied science in the United States is $35.51, according to ZipRecruiter salary data. Most workers in this role earn between $29.09 and $40.38 per hour, depending on experience, location, and employer.

What is the difference between Temporary Bachelor Applied Science vs Laboratory Technician?

AspectTemporary Bachelor Applied ScienceLaboratory Technician
Required CredentialsBachelor's degree in Applied Science or related fieldAssociate's degree or diploma in Laboratory Technology
Work EnvironmentResearch labs, industrial settings, temporary project rolesClinical, research, or industrial laboratories
Employer & Industry UsageEmployers seeking temporary scientific support in various industriesLaboratories requiring technical support and testing
Common Search & ComparisonYesYes

The Temporary Bachelor Applied Science typically holds a bachelor's degree and works in temporary roles across research and industrial environments, focusing on project-based tasks. Laboratory Technicians usually have an associate's degree and perform routine testing and analysis in labs. While both roles support scientific operations, the Bachelor's degree role often involves more complex tasks and project management, whereas Laboratory Technicians focus on technical testing and data collection.

What professions make 200,000 a year without a degree?

Certain high-paying professions such as commercial pilots, real estate brokers, and sales managers can earn $200,000 or more annually without requiring a college degree. Success in these roles often depends on experience, skills, licensing, or certifications rather than formal education, and they typically involve sales, negotiation, or specialized training.

What can I do with a Bachelor's degree in applied science?

A Bachelor's degree in applied science prepares individuals for technical roles in industries such as manufacturing, healthcare, engineering, and information technology. Graduates can work as lab technicians, quality control specialists, technical support staff, or in research and development, often utilizing skills in problem-solving, data analysis, and technical tools. Certification or hands-on experience may enhance job prospects in specialized fields.

What careers can I go into with applied science?

A Temporary Bachelor of Applied Science can lead to careers in engineering, technology, manufacturing, quality assurance, and research. These roles often require technical skills, problem-solving abilities, and familiarity with industry-specific tools or software.

Is a Bachelor's of applied science worth it?

A Bachelor's of Applied Science (BAS) can be valuable for careers that require technical skills and practical knowledge, such as engineering technology or applied sciences. It often provides hands-on experience and can lead to employment in technical roles, though its value depends on industry demand and individual career goals.
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Temporary Bachelor Applied Science jobs near you

Data Scientist, Applied Science

Future Secure AI

Austin, TX

Other

Posted 22 days ago

Key responsibilities

  • Evaluate, develop, and improve machine learning models for understanding user intent, predicting workflow needs, and enhancing collaboration between people and AI.

  • Extract, clean, and analyze large volumes of interaction data to identify patterns and develop impactful features for AI models.

  • Collaborate with engineering teams to deploy machine learning models into production environments and continuously monitor their performance.

Job description

About the Role

We are seeking a highly motivated and talented Sr. Data Scientist to join our core Platform Team in Austin, Texas. As an Applied Scientist, you will be a key contributor to the development and improvement of the AI models that power FutureSecure.ai's proactive intelligence capabilities. You'll work alongside a team of experienced engineers and scientists, applying machine learning, data mining, and statistical analysis to build, deploy, and optimize our platform for seamless human-AI collaboration. This is a chance to be at the forefront of intelligent interactions and shape the future of work.

Responsibilities

  • Model Development & Innovation: Evaluate machine learning models for understanding user intent, predicting workflow needs, and enhancing collaboration between people and AI. This includes exploring new algorithms, techniques, and data sources
  • Data Mining & Feature Engineering: Extract, clean, and analyze large volumes of interaction data from various sources to identify patterns and develop impactful features for our AI models. This will focus on understanding how people work alongside AI systems
  • Model Deployment & Monitoring: Collaborate with engineering teams to deploy machine learning models into production environments and continuously monitor their performance, identifying areas for improvement and retraining
  • Research & Exploration: Stay abreast of the latest advancements in machine learning, data science, and human-computer interaction, and apply them to enhance our platform's capabilities
  • Experimentation & A/B Testing: Design and conduct experiments to evaluate the effectiveness of new models and features, using rigorous A/B testing methodologies to optimize for user experience and collaboration
  • Collaboration & Communication: Effectively communicate technical findings and insights to both technical and non-technical audiences. Collaborate closely with engineers, user experience researchers, and product managers
  • Contribution to Platform Architecture: Work with the Platform Team to ensure model integration, scalability, and efficiency within the overall architecture of FutureSecure.ai
  • Proactive Intelligence Analysis: Leverage data to understand how people interact with AI, anticipating needs and proactively offering support and insights

Minimum Qualifications

  • 5+ years of experience as an Applied Scientist, Data Scientist, or Machine Learning Engineer
  • Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field
  • Strong proficiency in machine learning algorithms (e.g., regression, classification, clustering, deep learning)
  • Experience with programming languages such as Python and machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn
  • Experience with data mining, data cleaning, and feature engineering
  • Strong analytical and problem-solving abilities
  • Excellent communication and collaboration skills

Preferred Qualifications

  • Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related field
  • Experience with cloud computing platforms (AWS, Azure, GCP)

Why Join Us?

  • A high-performance culture
  • State-of-the-art technology
  • Experience world-class leadership
  • Scale of impact and purpose
  • A competitive salary and a huge growth trajectory
  • Work with the best in the industry
  • Flexible work environment
  • Diversity and creativity

Disclaimer: We do not wish to be contacted by recruitment agencies. Our hiring process is managed in-house and the best way for candidates to express interest is by applying with your resume through our company website.

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