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Remote Data Cleaning Jobs in Missouri (NOW HIRING)

Enterprise Holdings

Data Scientist

Saint Louis, MO · On-site +1

Team members who choose virtual / remote work should have an adequate space to serve as their home ... Extract, clean, and manipulate structured and unstructured data from multiple sources * Perform ...

Enterprise Holdings

Data Scientist

Saint Louis, MO · Remote

Team members who choose virtual / remote work should have an adequate space to serve as their home ... Extract, clean, and manipulate structured and unstructured data from multiple sources * Perform ...

Enterprise Holdings

Data Scientist

Saint Louis, MO · On-site +1

Team members who choose virtual / remote work should have an adequate space to serve as their home ... Extract, clean, and manipulate structured and unstructured data from multiple sources * Perform ...

Jobgether

$81K - $111K/yr

... a fully remote, international environment. You'll help transform complex data into scalable ... toward a clean, product-grade architecture. * Proactively identify patterns, anomalies ...

Jobgether

$94K - $124K/yr

The environment is remote-first, collaborative, and technically ambitious, with room to influence ... Develop clean, maintainable, composable, and well-tested software using modern engineering ...

Steris Corporation

Director, Engineering (Remote)

MO · On-site +1

Qualified utilities design, operation and maintenance (Classified/Clean Rooms, HVAC/HEPAs, WFI/RO ... Demonstrated ability to make sound data driven business decisions; Understand, track, drill down ...

Jobgether

$90K - $120K/yr

... financial data. You'll work extensively with Swift and SwiftUI while integrating secure wallet ... You'll join a fast-moving remote startup environment where autonomy, technical ownership, and ...

memployersmins

Actuarial Analyst (Remote)

Columbia, MO · On-site +1

Data Analysis & Model Execution * Extract, clean, and validate data from multiple sources to support actuarial analysis. * Perform foundational statistical analyses and summarize results for ...

Jobgether

The environment is highly collaborative and remote-friendly, with significant autonomy and ... Strong graph data modelling experience , with the ability to model real-world domains using nodes ...

New

Clayco

Field Support Technician

Saint Louis, MO · On-site +1

$19.25 - $26.25/hr

Provide day to day support to our remote Jobsites * Prioritize problems and incidents and escalate ... Preventative maintenance, including checking and cleaning of workstations, printers, and ...

Clayco

Field Support Technician

Saint Louis, MO · On-site +1

$19.25 - $26.25/hr

Provide day to day support to our remote Jobsites * Prioritize problems and incidents and escalate ... Preventative maintenance, including checking and cleaning of workstations, printers, and ...

Clayco

Field Support Technician

Saint Louis, MO · On-site +1

$19.25 - $26.25/hr

Provide day to day support to our remote Jobsites * Prioritize problems and incidents and escalate ... Preventative maintenance, including checking and cleaning of workstations, printers, and ...

Clayco

Field Support Technician

Saint Louis, MO · On-site +1

$19.25 - $26.25/hr

Provide day to day support to our remote Jobsites * Prioritize problems and incidents and escalate ... Preventative maintenance, including checking and cleaning of workstations, printers, and ...

Clayco

Field Support Technician

Saint Louis, MO · On-site +1

$19.25 - $26.25/hr

Provide day to day support to our remote Jobsites * Prioritize problems and incidents and escalate ... Preventative maintenance, including checking and cleaning of workstations, printers, and ...

Clayco

Field Support Technician

Saint Louis, MO · On-site +1

$19.25 - $26.25/hr

Provide day to day support to our remote Jobsites * Prioritize problems and incidents and escalate ... Preventative maintenance, including checking and cleaning of workstations, printers, and ...

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All JobsData Cleaning JobsRemote Data Cleaning JobsRemote Data Cleaning Jobs in Missouri

Remote Data Cleaning information

What is remote data cleaning?

Remote data cleaning is the process of identifying, correcting, or removing inaccurate, incomplete, or irrelevant data from datasets, all performed from a remote location rather than on-site. Professionals use specialized software and scripts to clean and organize data, ensuring its quality and consistency before analysis or use in business processes. This role is essential for organizations that rely on accurate data for decision-making and often involves tasks such as deduplication, error correction, and formatting standardization.

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

To thrive as a Remote Data Cleaning Specialist, you need strong analytical skills, attention to detail, and experience with data management, often supported by a degree in a quantitative field. Proficiency with tools such as Microsoft Excel, SQL, Python (pandas), and data visualization platforms is commonly required. Excellent problem-solving abilities, time management, and clear communication help you collaborate effectively and maintain data integrity. These skills ensure that datasets are accurate, reliable, and ready for analysis, which is crucial for informed business decision-making.

What are some common challenges faced when working remotely as a data cleaning specialist, and how can they be addressed?

Remote data cleaning specialists often encounter challenges such as inconsistent data formats, limited access to original data sources, and communication gaps with team members. To address these, it's important to establish clear data standards, use collaborative tools for real-time updates, and schedule regular check-ins with stakeholders. Staying organized and documenting data cleaning processes also helps maintain quality and ensures team alignment, even when working from different locations.

What is the difference between Remote Data Cleaning vs Remote Data Entry?

AspectRemote Data CleaningRemote Data Entry
Primary FocusIdentifying and correcting errors in datasets, improving data qualityInputting and updating data into systems accurately
Skills RequiredData analysis, attention to detail, familiarity with data toolsTyping speed, accuracy, basic computer skills
Work EnvironmentData analysis platforms, spreadsheets, specialized cleaning toolsData management software, spreadsheets, databases
CertificationsData analysis, Excel, database managementBasic computer skills, typing certifications

Remote Data Cleaning involves reviewing and correcting datasets to ensure accuracy, often requiring analytical skills. Remote Data Entry focuses on accurately inputting data into systems. While both roles require attention to detail, data cleaning emphasizes quality control, whereas data entry emphasizes speed and accuracy in data input.

What are the most commonly searched types of Data Cleaning jobs in Missouri?

The most popular types of Data Cleaning jobs in Missouri are:

What are popular job titles related to Remote Data Cleaning jobs in Missouri?

For Remote Data Cleaning jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching Remote Data Cleaning jobs in Missouri look for?

The top searched job categories for Remote Data Cleaning jobs in Missouri are:

What cities in Missouri are hiring for Remote Data Cleaning jobs?

Cities in Missouri with the most Remote Data Cleaning job openings:

Remote Data Cleaning jobs near you
Infographic showing various Remote Data Cleaning job openings in Missouri as of August 2026, with employment types broken down into 83% Full Time, and 17% Part Time. Highlights an 100% Remote job distribution.

Data Scientist

Enterprise Holdings

Saint Louis, MO • On-site, Remote

Full-time

Re-posted 22 days ago

Enterprise Holdings rating

7.1

Company rating: 7.1 out of 10

Based on 268 frontline employees who took The Breakroom Quiz

118th of 176 rated vehicle equipment hire

Job description

Overview
ABOUT THE COMPANY
Enterprise Mobility is a leading provider of mobility solutions, owning and operating the Enterprise Rent-A-Car, National Car Rental and Alamo Rent A Car brands through its integrated global network of independent regional subsidiaries. Enterprise Mobility and its affiliates offer extensive car rental, carsharing, truck rental, fleet management, retail car sales, as well as travel management and other transportation services, to make travel easier and more convenient for customers.
Privately held by the Taylor family of St. Louis, Enterprise Mobility together with its affiliate Enterprise Fleet Management manages a diverse fleet of 2.4 million vehicles and accounted for nearly $39 billion in revenue through a network of more than 9,500 fully-staffed neighborhood and airport rental locations in more than 90 countries and territories.
As we continue to build a team that drives us forward, we are excited to announce the opening for a Data Scientist.
ABOUT THE ROLE
The Data Scientist is a key driver of innovation, transforming data into actionable insights that improve business processes. In this role, you'll develop cutting-edge analytical products-creating algorithms for automation, building predictive models, designing experiments, and applying causal inference techniques to observational data. You'll also harness mathematical optimization to identify the most profitable business strategies. Success in this position requires strong collaboration with both technical and non-technical teams to ensure the creation, delivery, and adoption of impactful analytical solutions
This position offers the opportunity to work fully remote within the United States (except for Alaska and/or Hawaii). Team members who choose virtual / remote work should have an adequate space to serve as their home office, and must be able to work a schedule within U.S. Central Standard Time core business hours This position will require employees to come on site to one of our St. Louis campus locations a few times per year for meetings/events or as needed. #LI-REMOTE
We are committed to a fair and transparent hiring process. Candidates should expect identity verification, video interviews, technical validation of skills, and verification of employment, education, and work authorization. Falsification of information, proxy interviewing, or misrepresentation of experience or location will result in disqualification.
Responsibilities
As a Data Scientist focused on revenue management, you will design and deploy advanced deep learning models to forecast demand. These models will enable branch-level decision-making, helping maximize revenue by leveraging historical trends and predictive analytics. In this role, you will collaborate closely with cross-functional teams to develop and implement analytical solutions that drive measurable business impact.
  • Collaborate with the team to design and deliver analytical solutions that drive business impact
  • Extract, clean, and manipulate structured and unstructured data from multiple sources
  • Perform exploratory data analysis to identify patterns, trends, and insights
  • Develop predictive models to support data-driven decision-making
  • Design and oversee experiments, ensuring accurate execution and interpretation of results
  • Apply causal inference techniques using observational data to uncover relationships
  • Prepare and deliver clear documentation of methodologies, findings, and recommendations
  • Create and present insightful reports and presentations for technical and non-technical audiences
  • Partner with cross-functional teams to implement and operationalize analytical solutions

Equal Opportunity Employer/Disability/Veterans
Qualifications
Required:
  • Must be presently authorized to work in the U.S. without a requirement for work authorization sponsorship by our company for this position now or in the future
  • Must reside in the United States (does not include Alaska or Hawaii)
  • Must be able to work a schedule within U.S. Central Standard Time core business hours.
  • Must have a Master's Degree in a Statistical or Mathematical field (e.g. Engineering, Social Science, or Statistics)
  • Must have two (2+) years of experience with predictive models, statistical inference and deep learning
  • Must have experience using libraries like tensorflow or pytorch
  • Must have experience preparing and giving presentations to technical and non-technical audiences
  • Must have proficiency in R or Python
  • Must be committed to incorporating security into all decisions and daily job responsibilities

Preferred:
  • Doctorate Degree in a Statistical or Mathematical field (e.g. Engineering, Social Science, or Statistics)
  • Experience designing experiments
  • Experience exploring and visualizing data
  • Experience using Linux/Unix
  • Experience using SQL
  • Experience working with data (merging, recording, etc.) from a variety of sources/formats
  • Experience working with observational data to attempt causal inference (e.g. matching, weighting, etc.)

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