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Data Preprocessing Jobs (NOW HIRING)

Tata Consultancy Services

Agentic AI Engineer

Edison, NJ · On-site

$116K - $139K/yr

... data preprocessing, model training, and deployment. • Work with large datasets: clean, transform, and analyze structured and unstructured data. • Collaborate with cross-functional teams (data ...

PRGX Global, Inc

Data Scientist

Atlanta, GA

... preprocessing to model training, evaluation, and deployment. · Stay up-to-date with the latest research and developments in machine learning and artificial intelligence · Communicate complex data ...

PRGX Global, Inc.

Data Scientist

Atlanta, GA

... preprocessing to model training, evaluation, and deployment. · Stay up-to-date with the latest research and developments in machine learning and artificial intelligence · Communicate complex data ...

Ruri Software Technologies LLC

Data Scientist

Tampa, FL · On-site

Perform data preprocessing, feature engineering, and exploratory data analysis. * Work collaboratively with data engineers and business stakeholders to understand requirements and translate them into ...

Tata Consultancy Services

Agentic AI Engineer

Cincinnati, OH · On-site

$105K - $127K/yr

... data preprocessing, model training, and deployment. • Work with large datasets: clean, transform, and analyze structured and unstructured data. • Collaborate with cross-functional teams (data ...

Tata Consultancy Services

Agentic AI Engineer

Santa Clara, CA · On-site

$135K - $162K/yr

... data preprocessing, model training, and deployment. • Work with large datasets: clean, transform, and analyze structured and unstructured data. • Collaborate with cross-functional teams (data ...

PRGX Global, Inc

Data Scientist

Atlanta, GA · On-site

... preprocessing to model training, evaluation, and deployment. • Stay up-to-date with the latest research and developments in machine learning and artificial intelligence • Communicate complex data ...

Tata Consultancy Services

Agentic AI Engineer

Atlanta, GA · On-site

$110K - $132K/yr

... data preprocessing, model training, and deployment. • Work with large datasets: clean, transform, and analyze structured and unstructured data. • Collaborate with cross-functional teams (data ...

Ruri Software Technologies LLC

Data Scientist

Tampa, FL · On-site

Perform data preprocessing, feature engineering, and exploratory data analysis. * Work collaboratively with data engineers and business stakeholders to understand requirements and translate them into ...

Tror AI for everyone

Data Scientist

Baltimore, MD · On-site

... data cleaning, preprocessing, and feature engineering on structured and unstructured datasets. • Develop pipelines for model training, evaluation, and deployment. • Collaborate with cross ...

BAE Systems

Data Eng II

Reston, VA · On-site

$79K - $134K/yr

Provide data preprocessing, quality checks, data integration, and visualization creation * Provide quality assurance, and complex data visualizations * Develop dashboards with tools like Tableau or ...

BAE Systems

Data Eng Sr

Reston, VA · On-site

$97K - $164K/yr

Provide data preprocessing, quality checks, data integration, and visualization creation * Provide quality assurance, and complex data visualizations * Develop dashboards with tools like Tableau or ...

Intelliswift - An LTTS Company

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Python, Java, C++, JavaScript • Experience with big data preprocessing and transformation tools and process Preferred : • 1+ year of experience in big data technologies (Cassandra, HBase, Spark ...

Calix

Staff Data Scientist

Perform EDA, feature engineering, and data preprocessing for scalable, production pipelines * Help scale analytics and ML solutions across millions of access devices, subscriber endpoints, and Wi-Fi ...

MM International

Data scientist

Charlotte, NC · On-site

Should have the ability to clearly express ideas Experience working with Agile Methodology Knowledge on Textual data preprocessing Generating embeddings/tokenization Understanding on transfer based ...

Donato Technologies, Inc

AI/ML Engineer

Alpharetta, GA · On-site

Exposure to data preprocessing tools (Pandas, NumPy) * Basic cloud AI services Note : Please inform the candidates to brush up on the knowledge in Copilot as well if not aware of. The python coding ...

K-Tek Resourcing LLC

ML Engineer

Austin, TX · On-site

Perform data preprocessing, feature engineering, and model evaluation. * Utilize Scikit-learn for model development and experimentation. * Develop and maintain applications and services using Java ...

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Data Preprocessing information

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$46K

$165K

$243.5K

How much do data preprocessing jobs pay per year?

As of Jun 29, 2026, the average yearly pay for data preprocessing in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What is the highest paying job in data?

In data-related fields, roles such as Data Science Director, Machine Learning Engineer, and Chief Data Officer tend to have the highest salaries, often exceeding six figures annually. These positions typically require advanced skills in data analysis, programming, and leadership, along with extensive experience and relevant certifications.

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.

Is 40 too late for data science?

Data preprocessing is a key step in data science, and individuals can enter the field at any age. Many data scientists start later in life, and acquiring skills in programming, statistics, and tools like Python or R can facilitate entry regardless of age.

What do you do in data preprocessing?

Data preprocessing involves cleaning and transforming raw data to prepare it for analysis or modeling. This includes tasks such as handling missing values, removing duplicates, normalizing data, and encoding categorical variables, often using tools like Python or R. It is a crucial step to ensure data quality and improve model performance.

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.

Will AI replace data analysts?

AI is transforming data analysis by automating routine tasks such as data cleaning and basic reporting, but data analysts are still essential for interpreting complex insights, making strategic decisions, and applying domain knowledge. The role is evolving to include skills in machine learning tools and programming languages like Python or R, but human expertise remains critical for nuanced analysis and contextual understanding.

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.
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What job categories do people searching Data Preprocessing jobs look for? The top searched job categories for Data Preprocessing jobs are:
Data Preprocessing jobs near you
Infographic showing various Data Preprocessing job openings in the United States 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 $165,018 per year, or $79.3 per hour.
Data Scientist (AI/ML, Python)

Data Scientist (AI/ML, Python)

Lorven Technologies

Alpharetta, GA • On-site

$380 - $400/day

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Job Title: Data Scientist (AI/ML, Python)
Location: Alpharetta GA
Contract
Overview:
We are looking for an experienced Data Scientist with expertise in AI/ML, Python, and advanced analytics to develop and deploy scalable machine learning solutions. The ideal candidate will lead model development and contribute to AI strategy, driving impactful insights and innovations.
Key Responsibilities
Develop and deploy machine learning models using TensorFlow, PyTorch, and other frameworks.
Perform data preprocessing with tools like Pandas to prepare large datasets for modeling.
Implement ML algorithms for classification, regression, clustering, and recommendation systems.
Build scalable ML systems that handle production workloads.
Integrate models seamlessly into applications via REST APIs.
Apply advanced NLP and deep learning techniques for language-based tasks.
Leverage cloud ML platforms (AWS SageMaker, Google AI Platform, Azure ML) for training and deployment.
Conduct statistical modeling to extract actionable insights and validate model performance.
Lead and influence AI strategy to align with business goals.
Collaborate with cross-functional teams to translate data insights into business value.
Qualifications
Proven experience in Python for data science and ML.
Strong working knowledge of TensorFlow and PyTorch.
Hands-on experience with ML algorithms and model tuning.
Proficiency in data preprocessing and feature engineering (Pandas, NumPy, etc.).
Skilled in integrating models with REST APIs and deploying solutions.
Deep understanding of NLP and deep learning architectures.
Experience working with cloud ML platforms for training and deployment.
Ability to design scalable and production-ready ML systems.
Solid foundation in statistical modeling and analytics.
Proven leadership in AI strategy and projects.
Preferred Skills
Knowledge of modern software engineering practices.
Experience with model monitoring and MLOps.
Strong communication skills to articulate technical strategies.
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About Lorven technologies

Sourced by ZipRecruiter

Lorven Technologies, headquartered in Plainsboro, New Jersey, United States, is a reputable company in the technology industry, specializing in providing effective IT solutions and consulting services. The company's official website, lorventech.com, offers comprehensive insights into its offerings which include but are not limited to software development, IT consulting, project management, and business analysis. Since its inception, Lorven Technologies has been committed to ensuring efficiency and reliability in delivering IT services to its global clientele, establishing itself as a trusted name in the industry.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

2001

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