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Part Time Data Cleaning Jobs (NOW HIRING)

Data Scientist

Washington, DC · On-site

$77K - $176K/yr

You Have: * 2+ years of experience with data exploration, data cleaning, data analysis, data ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Scientist

San Antonio, TX · On-site +1

$61K - $141K/yr

You Have: * 1+ years of experience with data exploration, data cleaning, data analysis, data ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Scientist

Mclean, VA · On-site

$99K - $225K/yr

You Have: * 5+ years of experience with data exploration, data cleaning, data analysis, data ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Scientist

Mclean, VA · On-site

$99K - $225K/yr

You Have: * 5+ years of experience with data exploration, data cleaning, data analysis, data ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Scientist

Arlington, VA · On-site

$77K - $176K/yr

Experience with data exploration, data cleaning, data analysis, data visualization, data mining, or ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Scientist

Stafford, VA · On-site

$77K - $176K/yr

You Have: * 2+ years of experience with data exploration, data cleaning, data analysis, data ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Scientist

Arlington, VA · On-site

$77K - $176K/yr

You Have: * 2+ years of experience with data exploration, data cleaning, data analysis, data ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Scientist

Arlington, VA · On-site

$69K - $158K/yr

... cleaning, data visualization, or data mining * 3+ years of experience analyzing structured and ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Scientist

Fayetteville, NC · On-site

$99K - $225K/yr

You Have: * 3+ years of experience with data exploration, data cleaning, data analysis, data ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Scientist

Liberty, NC · On-site

$99K - $225K/yr

Experience with data exploration, data cleaning, data analysis, data visualization, or data mining ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

This part-time remote opportunity is ideal for technical professionals with hands-on experience in ... Solid background in data cleaning, normalization, and validation, delivering structured datasets ...

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Part Time Data Cleaning information

What are the key skills and qualifications needed to thrive as a Part Time Data Cleaning professional, and why are they important?

To thrive as a Part Time Data Cleaning professional, you need strong attention to detail, basic data analysis skills, and familiarity with spreadsheet software, often supported by a high school diploma or equivalent. Proficiency with tools like Microsoft Excel, Google Sheets, and sometimes data cleaning platforms such as OpenRefine is typically required. Strong organizational skills, problem-solving abilities, and reliability help individuals excel in this role. These skills ensure that data is accurate, consistent, and ready for analysis, directly impacting the quality of business decisions.

What is the difference between Part Time Data Cleaning vs Part Time Data Entry?

AspectPart Time Data CleaningPart Time Data Entry
Required SkillsAttention to detail, basic data management, familiarity with cleaning toolsTyping speed, accuracy, basic computer skills
Work EnvironmentRemote or office, often involves reviewing and cleaning datasetsRemote or office, involves inputting data into systems
Common CertificationsNone typically required, but familiarity with Excel or data tools helpsNone typically required, basic computer proficiency needed

Part Time Data Cleaning focuses on reviewing and correcting datasets to ensure accuracy, while Part Time Data Entry involves inputting data into systems. Both roles often require basic computer skills and can be performed remotely or in an office setting. Data Cleaning emphasizes accuracy and attention to detail, whereas Data Entry emphasizes speed and typing skills.

What are some common challenges faced by part-time data cleaning professionals, and how can they be effectively managed?

Part-time data cleaning professionals often encounter challenges such as handling large volumes of inconsistent or incomplete data, working within tight deadlines, and understanding the context of unfamiliar datasets. To manage these challenges, it's important to develop strong attention to detail, communicate regularly with data owners or team members for clarifications, and utilize data cleaning tools or scripts to improve efficiency. Establishing a routine for documenting changes and maintaining clear records can also help ensure data quality and consistency, even when working limited hours.

What is part time data cleaning?

Part time data cleaning involves working on a flexible or reduced schedule to organize, correct, and prepare data for analysis. The main responsibilities include identifying and removing duplicate or inaccurate records, standardizing formats, and ensuring data completeness and reliability. This role is important for businesses and organizations that rely on accurate data for decision-making, but do not require a full-time data specialist. Part time data cleaners may use tools like Excel, Google Sheets, or specialized data cleaning software. The position can be remote or onsite, depending on the employer's needs.
More about Part Time Data Cleaning jobs
What cities are hiring for Part Time Data Cleaning jobs? Cities with the most Part Time Data Cleaning job openings:
What are the most commonly searched types of Data Cleaning jobs? The most popular types of Data Cleaning jobs are:
What states have the most Part Time Data Cleaning jobs? States with the most job openings for Part Time Data Cleaning jobs include:
Infographic showing various Part Time Data Cleaning job openings in the United States as of May 2026, with employment types broken down into 100% Part Time. Highlights an 85% In-person, and 15% Remote job distribution.
Data Scientist

Data Scientist

Booz Allen Hamilton, Inc.

Fort George G Meade, MD • On-site

$99K - $225K/yr

Full-time, Part-time

Medical, Life, Retirement, PTO

Posted 19 days ago


Booz Allen Hamilton rating

8.8

Company rating: 8.8 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

9th of 57 rated business consultants


Job description

Job Description
Remote Work:
No
Job Number:
R0229008
Location:
Fort Meade,MD,US
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Data Scientist
The Opportunity:
As a data scientist, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist at Booz Allen, you can help turn these complex data sets into useful information to solve global challenges. Across private and public sectors from fraud detection to cancer research, to national intelligence, we need you to help find the answers in the data.
On our team, you'll use your leadership skills and data science expertise to create real-world impact. You'll work closely with clients to understand their questions and needs, and then dig into their data-rich environments to find the pieces of their information puzzle. You'll guide teammates and lead the development of algorithms and systems. You'll use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to advise your clients as they make informed decisions. Ultimately, you'll provide a deep understanding of the data, what it all means, and how it can be used.
Work with us as we use data science for good.
Join us. The world can't wait.
You Have:
  • 10+ years of experience conducting modeling and simulation or decision analysis
  • 10+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining
  • 5+ years of experience with statistical and general-purpose programming languages for data analysis
  • 5+ years of experience programming with data analysis software such as Python, R, MATLAB, @RISK, ARENA, or SAS
  • Experience developing predictive data models, quantitative analyses, and visualization of targeted data sources
  • Experience leading the development of solutions to complex programs
  • Experience with natural language processing, text mining, or machine learning techniques
  • TS/SCI clearance with a polygraph
  • Bachelor's degree

Nice If You Have:
  • Experience with FOSS and COTS products in statistics, Monte Carlo or discrete event simulation, ETL processes, and quantitative workflow automation
  • Experience working in Windows and Linux OS environments
  • Ability to work with non-technical audiences on technical problems in a highly collaborative and team-oriented environment, and balance long and short-term taskings
  • Ability to take poorly defined problems and convert them into questions for which practical quantitative solutions can be defined
  • Ability to exhibit flexibility, initiative, and innovation to succeed in an ambiguous and fast-paced environment and compose client deliverable quality documentation, analysis, and reports
  • Possession of excellent detail-oriented and organizational skills
  • Possession of excellent verbal and written communication skills
  • Bachelor's degree in Operations Research, Engineering, Analytics, Data Science, Economics, Applied Mathematics, Statistics, or a related field preferred; Master's degree a plus

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance with polygraph is required.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
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About Booz Allen Hamilton

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Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914