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Data Preprocessing Jobs in Greendale, IN (NOW HIRING)

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 ...

Varsity Tutors

Machine Learning Tutor

Cincinnati, OH · Remote

$18 - $40/hr

Guides students through data preprocessing, feature selection, building and comparing classification and regression models, implementing clustering algorithms, and interpreting confusion matrices and ...

Paychex

AI Engineer

Cincinnati, OH · On-site +1

$124K - $160K/yr

Docker, Kubernetes) is advantageous. * 2 years of experience in data preprocessing, feature engineering, and model evaluation techniques. * 1 year of experience in LLM tuning and tools like LangChain.

All JobsData Preprocessing JobsData Preprocessing Jobs in Greendale, IN

Data Preprocessing information

See Greendale, IN salary details

$41.8K

$149.9K

$221.2K

How much do data preprocessing jobs pay per year?

As of Jun 28, 2026, the average yearly pay for data preprocessing in Greendale, IN is $149,876.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,200.00 and $154,400.00 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.
Data Preprocessing jobs near you
Agentic AI Engineer

Agentic AI Engineer

Tata Consultancy Services

Cincinnati, OH • On-site

$105K - $127K/yr

Full-time

Posted 7 days ago

Key responsibilities

  • Contribute to the design, build, deployment, and optimization of AI/GenAI/Agentic AI solutions for customers and internal platforms.

  • Design, train, and optimize machine learning models for classification, regression, NLP, or computer vision tasks.

  • Write clean, efficient, and well-documented Python code for data preprocessing, model training, and deployment.

Tata Consultancy Services rating

6.5

Company rating: 6.5 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

157th of 206 rated it services

Job description

• Contribute to the design, build, deployment, and optimization of AI/GenAI/Agentic AI solutions for customers as well as internal TCS AI and Data business platforms. • Design, train, and optimize machine learning models for classification, regression, NLP, or computer vision tasks. • Write clean, efficient, and well-documented Python code for data preprocessing, model training, and deployment. • Work with large datasets: clean, transform, and analyze structured and unstructured data. • Collaborate with cross-functional teams (data engineers, researchers, and product managers) to integrate AI/ML solutions into applications and workflows. • Conduct experiments, evaluate model performance, and present findings with clear metrics and visualizations. • Stay updated on emerging AI/ML and Agentic AI research and contribute innovative ideas to improve products and processes.

• Bachelor’s or Master’s degree in Computer Science, Data Science, Electrical Engineering, Applied Math, or related field. • Strong Python programming skills (experience with libraries such as NumPy, Pandas, scikit-learn, TensorFlow, or PyTorch). • Academic or internship experience in machine learning, AI, or data-driven projects. • Solid understanding of algorithms, data structures, and machine learning concepts. • Experience with data preprocessing, feature engineering, and model evaluation. • Familiarity with version control (Git) and Jupyter/VS Code workflows.

What Tata Consultancy Services employees say

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Benefits

Hours and flexibility

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About Tata Consultancy Services

Sourced by ZipRecruiter

Tata Consultancy Services is an IT services, consulting and business solutions organization that delivers real results to global business, ensuring a level of certainty no other firm can match. TCS offers a consulting-led, integrated portfolio of IT, BPO, infrastructure, engineering, and assurance services. This is delivered through its unique Global Network Delivery Model™, recognized as the benchmark of excellence in software development. TCS delivers a level of certainty that no other firm can match--to our clients and to our employees. Come join us and experience certainty in your career. TCS a global Consulting and IT Services firm that is ranked in the top quartile by industry analysts. Our 2021 fiscal revenues topped $25 B and our market capitalization is over $170+B, yet we have a deep and large history of philanthropy and corporate social responsibility. Now approaching 600K of the best IT professionals and consultants, we are a trusted advisor, guiding our clients' enterprises through growth and transformation journeys - helping them to become agile, intelligent, automated and on the cloud. We are devoted to DEI and are recognized as a top employer and place to work.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Edison, NJ, US

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