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Data Preprocessing Jobs in Los Angeles, CA (NOW HIRING)

Capsule.Video Inc

AI Engineer

Los Angeles, CA · On-site

Experience with data preprocessing, feature engineering, and model selection and optimization * Experience building and deploying ML models in production environments * Strong problem-solving and ...

SynergisticIT

Entry Level Data Scientiest

Los Angeles, CA · On-site

$18 - $24/hr

Undertake preprocessing of structured and unstructured data * Analyze large amounts of information to client trends and patterns * Classifier, Random Forest Classifier, Nave Bayes, Support Vector ...

FieldAI

3D Machine Learning Engineer

Irvine, CA

$150K - $200K/yr

Familiarity with OpenCV and PCL (Point Cloud Library) for classical computer vision and 3D data preprocessing. * Experience training, evaluating, and deploying ML models using cloud infrastructure (e ...

Confie

AI Engineer

Huntington Beach, CA · On-site

$100 - $140/hr

Experience with data preprocessing, feature engineering, and model evaluation techniques. Solid understanding of software engineering principles and best practices. Experience bringing GenAI projects ...

FieldAI

3D Machine Learning Engineer

Irvine, CA · On-site

$150K - $200K/yr

Familiarity with OpenCV and PCL (Point Cloud Library) for classical computer vision and 3D data preprocessing. * Experience training, evaluating, and deploying ML models using cloud infrastructure (e ...

FieldAI

3D Machine Learning Engineer

Irvine, CA

$150K - $200K/yr

Familiarity with OpenCV and PCL (Point Cloud Library) for classical computer vision and 3D data preprocessing. * Experience training, evaluating, and deploying ML models using cloud infrastructure (e ...

Sparks Wiz Limited

Junior Data Analyst

Los Angeles, CA · On-site +1

$26 - $37/hr

Experience with data cleaning and preprocessing techniques. * Knowledge of engineering and consulting industry practices. Working Conditions: * Remote-based with potential for hybrid work ...

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All JobsData Preprocessing JobsData Preprocessing Jobs in Los Angeles, CA

Data Preprocessing information

See Los Angeles, CA salary details

$49.6K

$177.8K

$262.4K

How much do data preprocessing jobs pay per year?

As of Aug 22, 2026, the average yearly pay for data preprocessing in Los Angeles, CA is $177,809.00, according to ZipRecruiter salary data. Most workers in this role earn between $143,800.00 and $183,200.00 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 Los Angeles, CA?

For Data Preprocessing jobs in Los Angeles, CA, the most frequently searched job titles are:

What job categories do people searching Data Preprocessing jobs in Los Angeles, CA look for?

The top searched job categories for Data Preprocessing jobs in Los Angeles, CA are:

What cities near Los Angeles, CA are hiring for Data Preprocessing jobs?

Cities near Los Angeles, CA with the most Data Preprocessing job openings:

Data Preprocessing jobs near you
Infographic showing various Data Preprocessing job openings in Los Angeles, CA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $177,809 per year, or $85.5 per hour.

Research Statistician (Part-Time)

Chapman University

Orange, CA

$40 - $50/hr

Part-time

Posted 2 days ago

New

Chapman University rating

7.7

Company rating: 7.7 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

262nd of 621 rated colleges and universities

Job description

Position Information
Position Title Research Statistician (Part-Time) Position Type Limited-Term Job Number SA89124 Full or Part Time part-time 0-19 hours weekly Fair Labor Standard Act Classification Non-Exempt Anticipated Pay Range $40.00 - $50.00 Pay Range Information
Chapman University is required to provide a reasonable estimate of the compensation range for this position. This range takes into account a variety of factors that are considered in making compensation decisions, including experience, skills, knowledge, abilities, education, licensure and certifications, and other business and organizational needs. Salary offers are determined based on the final candidate's qualifications and experience, as well as internal equity and other internal factors. The anticipated pay range is not a promise of a particular wage.
Position Summary Information
Job Description Summary
Statistician will work in the area of psychosocial health. The position requires high-level expertise in psychology, research design, data preprocessing, and applied statistics. Key responsibilities include preprocessing data for analysis, performing complex data analysis, manuscript writing, publishing research findings in peer-reviewed journals, and mentoring junior researchers. This position requires an advanced degree (PhD [preferrable] or Masters) in a field related to research design and/or applied statistical analysis.
Responsibilities
Data Preprocessing
  • Cleaning data extracted from medical records and/or RedCap survey software
  • Restructuring data (e.g., going from wide to long or vice versa)
  • Identifying and reporting data errors through descriptives and frequency statistics
  • Calculating variables (e.g., sum scores, averages of scale items)
  • Ensuring data align with codebook
Statistical Analysis
  • Conducting advanced statistical models (e.g., multilevel modeling, structural equation modeling) to test hypotheses
  • Writing up statistical findings in both paragraph and table/figure form
Manuscript Writing
  • Crafting manuscript sections (e.g., introduction, methods, results, discussion) to convey the research question, study design, and outcomes of the results
  • Submit manuscript for publication in journal portal
Mentoring Junior Researchers
  • Guide other staff/students in conducting statistics (e.g., t-tests, linear regression)
  • Guide other staff/students in creating tables for statistical results (e.g., bar graphs, line graphs)
Participating in meetings
  • Meetings that regard data processing (including format of the data needed to match codebooks)
  • Meetings that regard planning and interpreting statistical analyses

Required Qualifications
  • Advanced degree in a related field conducting inferential/applied statistics
  • 4+ years of graduate-level research experience in psychology or a related field
  • Experience with statistical software (e.g., SPSS, R, Stata)
  • Advanced understanding of inferential statistical methods and applied data analysis
  • Excellent scientific writing and public presentation skills
  • Ability to work independently and manage multiple research tasks
Desired Qualifications
  • 5+ peer-reviewed publications in recognized scientific journals
  • Experience supervising or mentoring research assistants or students
Special Instructions to Applicants
At Chapman University, we believe collaboration thrives through in-person engagement. This position is fully on campus, and employees work alongside colleagues, faculty, students, and staff each day to support our vibrant university community.
Chapman University is an equal opportunity employer that provides equal employment opportunities to all individuals, regardless of their protected characteristics.  All qualified applicants and employees are encouraged to apply and will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, gender expression, national origin, ancestry, citizenship status, physical disability, mental disability, medical condition, military and veteran status, marital status, pregnancy, genetic information or any other characteristic protected by state or federal law.
Applicants for Staff and Administrator positions must be currently authorized to work in the United States on a full-time basis. 
The offer of employment is contingent upon satisfactory completion and outcomes of a criminal background screening and returning to the Office of Human Resources a signed original acceptance of the Chapman University Agreement to Arbitrate 
Minimum Number of References 2 Maximum Number of References 3

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