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Temporary Bachelor Applied Science Jobs (NOW HIRING)

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Applied Scientist

Seattle, WA

$120K - $200K/yr

... a bachelors or master's degree in Statistics, Mathematics, Physics, or Computer Science with a ... Proven experience in applied machine learning, including a deep understanding of statistical ...

Grid

Applied Scientist

Seattle, WA · On-site

$120K - $200K/yr

... a bachelors or master's degree in Statistics, Mathematics, Physics, or Computer Science with a ... Proven experience in applied machine learning, including a deep understanding of statistical ...

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 ...

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 Jun 9, 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.

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Temporary Bachelor Applied Science jobs near you

Data Scientist - Applied Science

Future Secure AI

Austin, TX • On-site

Other

Posted 10 hours ago

Job description

About the Role

We're seeking a Data Scientist - Applied Science for our Platform team. You will join our dynamic team and significantly contribute to the evolution of our cutting-edge AI platform. This pivotal role will be instrumental in developing and applying advanced AI models, with a particular focus on enhancing the capabilities of our foundational LLM platform and leveraging it to solve complex, real-world challenges. You'll collaborate closely with engineers, researchers, and product leaders, shaping the direction of our AI platform and driving impactful applications across our partner ecosystem. This isn't just about building models; it's about architecting the future of intelligent systems.

Responsibilities

  • Help lead the design, development, and optimization of components and features within our LLM platform, ensuring scalability, reliability, and performance
  • Translate research breakthroughs and cutting-edge techniques in NLP and generative AI into practical, impactful solutions for our clients and partners. This includes experimenting with novel architectures, training methodologies, and evaluation strategies
  • Drive the development and refinement of LLM output chains for a wide range of use cases, focusing on quality, accuracy, and user experience
  • Champion MLOps best practices including robust benchmark monitoring, automated testing, and continuous improvement pipelines
  • Contribute to the development and implementation of data governance and ethical AI policies
  • Provide technical guidance and mentorship to junior data scientists, fostering a culture of innovation and excellence.
  • Contribute to the long-term technical roadmap for our AI platform and applied science initiatives, aligning with business objectives and emerging industry trends
  • Effectively communicate complex technical concepts to both technical and non-technical audiences, collaborating seamlessly with engineers, product managers, and stakeholders at all levels.

Minimum Requirements

  • Bachelors degree in Data Science, Mathematics, Statistics, Computer Science, or a related field and 3+ years of industry experience applying data science techniques to solve complex problems
  • Commercial experience with NLP techniques (supervised NLP learning with LSTM/CNN/Transformers) and deep practical experience with Generative AI frameworks and tools (e.g., Langchain, LlamaIndex, RAG, Multi-Agent Frameworks, fine-tuning approaches)
  • Advanced SQL knowledge and 3+ years' experience programming in Python, including proficiency in NLP libraries (e.g., spaCy, NLTK, Transformers)
  • Solid understanding of MLOps principles and experience with relevant tools and technologies
  • Excellent communication and interpersonal skills, with the ability to influence and collaborate effectively with diverse teams
  • An ability and desire to read and critically evaluate current research in LLMs and related fields
  • Able to thrive in a fast-paced, agile environment and embraces ambiguity
  • A strong and demonstrable history of data science experience, with the ability to clearly articulate successful past projects and their impact

Preferred Qualifications

  • Masters Degree and/or Doctorate in a relevant discipline
  • Related publications 

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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