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Temporary Data Extraction Jobs in Utah (NOW HIRING)

R&D Data Scientist

Salt Lake City, UT · On-site

$80 - $110/hr

Collect, preprocess, and analyze large and complex datasets to extract actionable insights ... S. national, person lawfully admitted for permanent residence, temporary resident under sections ...

Temporary Data Extraction information

What is a temporary data extraction job?

Temporary Data Extraction jobs involve short-term assignments where individuals are responsible for collecting, retrieving, and organizing data from various sources, such as documents, databases, or websites. These roles are typically project-based and may require the use of specialized software or tools to extract data efficiently and accurately. Temporary data extraction positions are common in industries undergoing digital transformation, data migration, or large-scale information updates. Workers in these roles need strong attention to detail and may work independently or as part of a team. Since these jobs are temporary, assignments can range from a few days to several months, depending on the project's scope.

What are the key skills and qualifications needed to thrive as a temporary data extraction specialist, and why are they important?

To thrive as a Temporary Data Extraction Specialist, you need strong attention to detail, data entry accuracy, and familiarity with spreadsheets or databases, typically supported by a high school diploma or equivalent. Proficiency with tools such as Microsoft Excel, data extraction software, and sometimes OCR systems is usually required. Analytical thinking, time management, and reliability are crucial soft skills for managing repetitive tasks and meeting deadlines. These competencies ensure accurate data collection, minimize errors, and help maintain workflow efficiency during short-term projects.

What are the typical challenges faced in a temporary data extraction role, and how can they be managed?

Temporary Data Extraction professionals often encounter challenges such as inconsistencies in source data, tight deadlines, and adapting quickly to new tools or procedures. It's important to pay close attention to detail and communicate regularly with team members or supervisors to clarify requirements and resolve ambiguities. Familiarizing yourself with the data extraction software and maintaining organized records can help manage workload efficiently. Additionally, being proactive about asking questions when encountering unclear data can prevent errors and streamline the extraction process.

What is the difference between Temporary Data Extraction vs Data Analyst?

AspectTemporary Data ExtractionData Analyst
Required CredentialsBasic technical skills, often no formal degree requiredBachelor's degree in data-related fields, certifications preferred
Work EnvironmentProject-based, short-term assignments, often remote or on-siteOngoing, full-time or part-time roles within organizations
Industry UsageCommon in data collection, research, and initial data processingUsed for interpreting data, creating reports, and strategic analysis

Temporary Data Extraction involves short-term tasks focused on collecting and extracting data, often requiring basic technical skills. Data Analysts typically hold formal education and perform ongoing analysis to support business decisions. While both roles work with data, their scope, credentials, and work environment differ significantly.

What are the most commonly searched types of Data Extraction jobs in Utah?

The most popular types of Data Extraction jobs in Utah are:

What are popular job titles related to Temporary Data Extraction jobs in Utah?

For Temporary Data Extraction jobs in Utah, the most frequently searched job titles are:

What cities in Utah are hiring for Temporary Data Extraction jobs?

Cities in Utah with the most Temporary Data Extraction job openings:

R&D Data Scientist

Hexcel

Salt Lake City, UT • On-site

$80 - $110/hr

Other

Re-posted 19 days ago


Hexcel rating

7.9

Company rating: 7.9 out of 10

Based on 20 frontline employees who took The Breakroom Quiz


Job description

## R&D Data ScientistApplylocations: USA - UT - Salt Lake City Fiberstime type: Full timeposted on: Posted Yesterdayjob requisition id: R020232With our strong investment in research and development and our culture of continuous improvement, Hexcel is the industry leader in the manufacturing of composite materials and industrial fabrics. We invite you to join the Hexcel team at various manufacturing sites, sales offices, and research and technology centers around the globe. Become a part of the “strength within.”Hexcel is currently seeking a **Research and Development Data Scientist** for our **Salt Lake City, UT, USA****The selected individual will be responsible for but not limited to the following obligations:*** Develop, validate, and maintain digital twin models of key processes using machine learning and physics-informed or statistical approaches.* Collect, preprocess, and analyze large and complex datasets to extract actionable insights supporting process and product development efforts.* Design and implement advanced data science and AI solutions to optimize process performance, improve product quality, and accelerate innovation.* Work in cross-functional teams of scientists, technicians, and engineers in product design and development programs.* Translate analytical findings into practical recommendations and support the implementation of data-driven improvements across cross-functional teams.* Supports design and experiments (DOE) and active learning strategies at lab, pilot and production scale.* Monitor model performance and continuously refine algorithms and data pipelines to ensure accuracy, robustness, and scalability in production environments.**Qualifications:*** Master’s degree in data science; bachelor’s degree in materials science, chemistry, chemical engineering, or related field.* Minimum of 2 years of experience in industrial setting, preferably with demonstrated experience applying machine learning and advanced analytics to real-world problems.* Proven ability to develop and implement digital twin and other models for processes or systems using machine learning and traditional modeling techniques. Experience working with mathematical modeling of physical systems a plus.* Experience working closely with product development teams to translate technical insights into actionable improvements in process and product performance. Working knowledge of DOE (Design of Experiments) and other active learning methods.* Proficiency in data preprocessing and data cleaning techniques, including handling large, complex, and noisy datasets.* Demonstrated ability to apply state-of-the-art methods in data science and AI to support process optimization, product innovation, and decision-making.* Strong programming skills in languages such as Python or R, with experience using relevant data science techniques* Experience with Microsoft's technology stack and the Azure digital toolset* Experience with multiple large and small language models including models designed for optimized chemical compositions preferred.Eligible candidates must be a: U.S. citizen, U.S. national, person lawfully admitted for permanent residence, temporary resident under sections 210(a) or 245(A) of the Immigration and Nationality Act, person admitted in refugee status, or person granted asylum. Hexcel (NYSE: HXL) is a global leader in advanced composites technology, a leading producer of carbon fiber, and the world leader in honeycomb manufacturing for the commercial aerospace industry.Hexcel is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, physical or mental disability, status as a protected veteran, or any other protected class. #J-18808-Ljbffr

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