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Data Preprocessing Jobs in Centertown, MO (NOW HIRING)

Data Preprocessing and Analysis * Model Deployment * TensorFlow * Scikit-Learn Hard Skills * Machine Learning * Data Analysis * Model Optimization * Algorithm Development * ML Pipeline Building Soft ...

Guides students through data preprocessing, feature selection, building and comparing classification and regression models, implementing clustering algorithms, and interpreting confusion matrices and ...

Data Preprocessing information

See Centertown, MO salary details

$42.2K

$151.5K

$223.5K

How much do data preprocessing jobs pay per year?

As of Sep 13, 2026, the average yearly pay for data preprocessing in Centertown, MO is $151,486.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,600.00 and $156,100.00 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 cities near Centertown, MO are hiring for Data Preprocessing jobs?

Cities near Centertown, MO with the most Data Preprocessing job openings:

Infographic showing various Data Preprocessing job openings in Centertown, MO as of June 2026, with employment types broken down into 50% Internship, and 50% Full Time. Highlights an 100% In-person job distribution, with an average salary of $151,486 per year, or $72.8 per hour.

Machine Learning Engineer

California, MO • On-site

Other

Re-posted 9 days ago


Job description

  • Assist in designing, developing, and implementing machine learning models and algorithms
  • Assist in developing and optimizing machine learning models
  • Preprocess and analyze datasets to ensure data quality
  • Collaborate with senior engineers and data scientists on model deployment
  • Conduct experiments and run machine learning tests
  • Build scalable ML pipelines
  • Deploy models into production environments
  • Stay updated with the latest advancements in machine learning
  • Enhance services through AI/ML solutions, drive business insights, and improve customer experiences
Requirements
  • 1+ years relevant experience and a Bachelor’s degree OR any equivalent combination of education and experience
  • Must have graduated within the past 12 months, or will be graduating by Spring 2027
  • Bachelor’s or Master’s degree in Computer Science or related field from an accredited college or university
  • Familiarity with ML frameworks such as TensorFlow or scikit-learn
  • Strong analytical and problem-solving skills
  • Visa sponsorship through PayPal is not available now or in the future
Core Competencies

Proficient in designing, developing, and implementing machine learning models and algorithms, with a strong focus on data preprocessing, model optimization, and deployment in production environments. Demonstrates analytical and problem-solving skills to enhance services through AI/ML solutions and drive business insights.

Highest-signal resume keywords
  • Machine Learning Model Development
  • Data Preprocessing and Analysis
  • Model Deployment
  • TensorFlow
  • Scikit-Learn
Hard Skills
  • Machine Learning
  • Data Analysis
  • Model Optimization
  • Algorithm Development
  • ML Pipeline Building
Soft Skills
  • Analytical Skills
  • Problem-Solving Skills
Industry Keywords
  • AI Solutions
  • Business Insights
  • Customer Experience
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