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Data Preprocessing Jobs in Salt Lake City, UT (NOW HIRING)

R&D Data Scientist

Salt Lake City, UT · On-site

$80 - $110/hr

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 ...

Familiarity with data cleaning, preprocessing, and statistical methods. * Ability to read, understand, and modify existing code for data analysis and visualization in Python and SQL. * Excellent ...

... data ingestion, preprocessing, and feature engineering pipelines to enable efficient training and inference of AI models. • Create and optimize RESTful APIs for seamless integration with frontend ...

Data Preprocessing information

See Salt Lake City, UT salary details

$44.5K

$159.7K

$235.6K

How much do data preprocessing jobs pay per year?

As of Aug 22, 2026, the average yearly pay for data preprocessing in Salt Lake City, UT is $159,690.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,200.00 and $164,500.00 per year, depending on experience, location, and employer.

What is data preprocessing?

Data preprocessing is the process of cleaning, transforming, and organizing raw data into a usable format for analysis or machine learning. It involves steps such as handling missing values, removing duplicates, normalizing or scaling data, and encoding categorical variables. Proper data preprocessing helps improve the quality and performance of predictive models by ensuring the data is accurate, consistent, and suitable for analysis.

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

To thrive as a Data Preprocessing Specialist, you need a strong background in statistics, data cleaning, and data transformation, often supported by a degree in computer science, data science, or a related field. Proficiency with tools such as Python (pandas, NumPy), SQL, and data visualization platforms is typically essential, along with familiarity with data management systems. Attention to detail, problem-solving abilities, and effective communication are standout soft skills in this position. These skills are crucial for ensuring high-quality, reliable datasets that underpin accurate data analysis and machine learning outcomes.

What are some common challenges faced in a data preprocessing role, and how can they be effectively managed?

Professionals in Data Preprocessing often encounter challenges such as handling incomplete or inconsistent data, managing large datasets, and ensuring data quality before analysis. Addressing these issues typically involves using specialized tools to automate data cleaning, establishing clear data validation rules, and collaborating closely with data engineers and analysts. Staying updated with best practices and leveraging scripting languages like Python or R can also streamline the preprocessing workflow, making it easier to deliver reliable and accurate datasets for downstream analysis.

What is the difference between Data Preprocessing vs Data Analysis?

AspectData PreprocessingData Analysis
Primary FocusCleaning, transforming, and preparing raw data for analysisInterpreting data to extract insights and support decision-making
Skills RequiredData cleaning, scripting, understanding of data formatsStatistical analysis, data visualization, critical thinking
Work EnvironmentData engineering teams, data science projectsBusiness intelligence, research, data science teams
Tools UsedPython, R, SQL, ETL toolsExcel, Tableau, R, Python, statistical software

While data preprocessing involves preparing raw data for analysis by cleaning and transforming it, data analysis focuses on interpreting the prepared data to uncover trends and insights. Both roles are essential in the data pipeline but serve different purposes in the data lifecycle.

What are popular job titles related to Data Preprocessing jobs in Salt Lake City, UT?

For Data Preprocessing jobs in Salt Lake City, UT, the most frequently searched job titles are:

What job categories do people searching Data Preprocessing jobs in Salt Lake City, UT look for?

The top searched job categories for Data Preprocessing jobs in Salt Lake City, UT are:

Infographic showing various Data Preprocessing job openings in Salt Lake City, UT as of June 2026, with employment types broken down into 42% Internship, and 58% Full Time. Highlights an 100% In-person job distribution, with an average salary of $159,690 per year, or $76.8 per hour.

R&D Data Scientist

Hexcel

Salt Lake City, UT • On-site

$80 - $110/hr

Other

Re-posted 16 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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