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Data Cleaning Jobs in Decatur, GA (NOW HIRING)

Data Cleaning : Preprocess and clean data to ensure consistency, address missing values, and remove outliers. * Exploratory Data Analysis (EDA) : Conduct in-depth analysis to understand data ...

Guides students through data cleaning with Pandas, exploratory analysis with visualization libraries, building predictive models, conducting statistical tests, and creating compelling data ...

Guides students through data cleaning with Pandas, exploratory analysis with visualization libraries, building predictive models, conducting statistical tests, and creating compelling data ...

Guides students through data cleaning with Pandas, exploratory analysis with visualization libraries, building predictive models, conducting statistical tests, and creating compelling data ...

Guides students through data cleaning with Pandas, exploratory analysis with visualization libraries, building predictive models, conducting statistical tests, and creating compelling data ...

Guides students through data cleaning with Pandas, exploratory analysis with visualization libraries, building predictive models, conducting statistical tests, and creating compelling data ...

Guides students through data cleaning with Pandas, exploratory analysis with visualization libraries, building predictive models, conducting statistical tests, and creating compelling data ...

Excellent problem solving skills with the ability to design algorithms, which may include data cleaning, data mining, data clustering and data preparation for visualization * Personal qualities ...

We are interested in a variety of topics including big data management, self-service data cleaning and transformation at scale, data quality, search and discovery of structured data, information ...

Senior Data Analyst

Atlanta, GA · On-site

$82.70K - $104.30K/yr

Clean and standardize diverse data formats from enterprise HRIS and ATS systems * Match client candidate records with Harver assessment data with high accuracy * Troubleshoot data quality issues and ...

Contribute to the team's portfolio of services by providing consultations and instruction in at least one of these areas: data visualization, qualitative research methods, data cleaning support ...

Deep knowledge of data collection methods, data cleaning, descriptive statistics, data visualization, spreadsheet analysis, SQL querying, basic statistical inference, pivot tables, and reporting ...

Deep knowledge of data collection methods, data cleaning, descriptive statistics, data visualization, spreadsheet analysis, SQL querying, basic statistical inference, pivot tables, and reporting ...

Deep knowledge of data collection methods, data cleaning, descriptive statistics, data visualization, spreadsheet analysis, SQL querying, basic statistical inference, pivot tables, and reporting ...

Deep knowledge of data collection methods, data cleaning, descriptive statistics, data visualization, spreadsheet analysis, SQL querying, basic statistical inference, pivot tables, and reporting ...

Deep knowledge of data collection methods, data cleaning, descriptive statistics, data visualization, spreadsheet analysis, SQL querying, basic statistical inference, pivot tables, and reporting ...

Deep knowledge of data collection methods, data cleaning, descriptive statistics, data visualization, spreadsheet analysis, SQL querying, basic statistical inference, pivot tables, and reporting ...

Big Data Engineer

Alpharetta, GA · On-site

$54.50 - $72/hr

... of data cleaning, wrangling, visualization and reporting, with an understanding of the best, most efficient use of associated tools and applications to complete these tasks. • Proven ability to ...

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Data Cleaning information

What is a Data Cleaning job?

A Data Cleaning job involves identifying and correcting errors, inconsistencies, and inaccuracies in datasets to ensure high-quality data for analysis. This process includes removing duplicate records, filling in missing values, standardizing formats, and eliminating irrelevant or erroneous data. Data cleaning helps improve data accuracy, reliability, and usability for business intelligence, machine learning, and decision-making. Professionals in this role typically work with databases, spreadsheets, and data management tools to refine raw data into a structured and meaningful format.

What are the key skills and qualifications needed to thrive in the Data Cleaning position, and why are they important?

To thrive in Data Cleaning, you need a strong attention to detail, analytical skills, and a solid understanding of data management practices, often supported by training or coursework in data science, statistics, or information technology. Familiarity with tools like Microsoft Excel, SQL, Python (with libraries such as pandas), or specialized data cleaning software is highly valuable. Excellent problem-solving abilities, persistence, and effective communication are important soft skills for identifying and addressing data inconsistencies while collaborating with other team members. These skills are essential to ensure that datasets are accurate, reliable, and ready for analysis, leading to trustworthy business insights.

What are the most common challenges faced by professionals in data cleaning roles?

One of the biggest challenges in data cleaning is dealing with incomplete, inconsistent, or duplicate data from multiple sources, which often requires creative problem-solving and close attention to detail. Communicating with team members to clarify data definitions and intended use is also a frequent part of the job, as misinterpretations can lead to errors. Additionally, deadlines and large datasets can make the role fast-paced, so strong organizational skills and efficiency are important. However, overcoming these challenges offers valuable experience and plays a crucial role in ensuring the success of projects that depend on high-quality data.
What are popular job titles related to Data Cleaning jobs in Decatur, GA? For Data Cleaning jobs in Decatur, GA, the most frequently searched job titles are:
What cities near Decatur, GA are hiring for Data Cleaning jobs? Cities near Decatur, GA with the most Data Cleaning job openings:
Infographic showing various Data Cleaning job openings in Decatur, GA as of May 2026, with employment types broken down into 79% Full Time, 18% Part Time, and 3% Contract. Highlights an 82% Physical, and 18% Remote job distribution.

Data Scientist 1

4P Consulting Inc.

Atlanta, GA

Full-time

Posted 4 days ago


Job description

Job Description:
4P Consulting Inc. is seeking a highly skilled Data Scientist to join our team. As a Data Scientist, you will leverage your expertise in data analysis and machine learning to extract valuable insights, solve complex problems, and support data-driven decisions. You will work with large datasets to drive innovation and help organizations improve performance across a variety of industries, including finance, healthcare, and technology.

Key Responsibilities:

  • Data Collection: Gather and collect large datasets from multiple sources, including APIs, databases, and external providers.
  • Data Cleaning: Preprocess and clean data to ensure consistency, address missing values, and remove outliers.
  • Exploratory Data Analysis (EDA): Conduct in-depth analysis to understand data characteristics and patterns.
  • Feature Engineering: Develop features from raw data to enhance machine learning models.
  • Machine Learning Modeling: Implement and develop machine learning models for business problems, including classification, regression, clustering, and recommendations.
  • Model Evaluation: Assess and fine-tune models using relevant evaluation metrics for optimal performance.
  • Data Visualization: Create clear, insightful visualizations and reports to present findings to non-technical stakeholders.
  • Predictive Analytics: Utilize statistical and machine learning techniques to predict trends and future outcomes.
  • Statistical Analysis: Apply statistical methods to test hypotheses and analyze data.
  • A/B Testing: Design and execute A/B tests to evaluate changes and improvements.
  • Data Integration: Integrate data science solutions into existing workflows and software systems.
  • Data Security: Ensure data privacy by implementing appropriate security measures.
  • Documentation: Maintain clear documentation of processes, models, and findings.
  • Continuous Learning: Stay current on developments in data science and machine learning.

Qualifications:

  • Education: Bachelor's degree in Computer Science, Statistics, Mathematics, or related field (Master's or Ph.D. preferred).
  • Programming Skills: Proficiency in Python or R.
  • Data Tools: Experience with machine learning and data analysis libraries (e.g., Pandas, NumPy, ScikitLearn, TensorFlow, PyTorch).
  • Database Knowledge: Strong understanding of SQL and relational databases.
  • Statistical Skills: Expertise in statistical analysis techniques.
  • Machine Learning: Deep knowledge of machine learning algorithms and techniques.
  • Data Visualization: Proficient in tools like Matplotlib, Seaborn, or Tableau.
  • Problem-Solving: Strong analytical and problem-solving skills.
  • Communication: Ability to clearly explain complex findings to non-technical audiences.
  • Collaboration: Experience working within cross-functional teams.
  • Domain Knowledge: Relevant industry experience (e.g., healthcare, finance) may be required.
  • Ethical Considerations: Knowledge of ethical data analysis practices, including privacy and bias concerns.

Benefits:

  • Competitive salary
  • Opportunities for career growth and development
  • Health and wellness benefits
  • Collaborative and dynamic work environment

How to Apply:
Please submit your resume and a cover letter to info@4pconsultinginc.com detailing your experience and why you’d be a great fit for the Data Scientist role.