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Data Preprocessing Jobs in Illinois (NOW HIRING)

Voluble Systems LLC

Data Analyst

Chicago, IL · On-site

... data flows through successive stages. • Plan, design, and document logical and physical ... preprocessing, and transformation techniques. • Team oriented, flexible, and able to work in an ...

Cayuse Holdings, LLC

$28 - $30/hr

Data Analysis and Preprocessing * Data Ingestion and Exploration: Ingest, explore, and preprocess both structured and unstructured data with tools such as: * Azure Data Lake Storage * Azure Synapse ...

EVOZYNE INC

Data Scientist II, Molecular Biology

Chicago, IL · On-site +1

$150K - $175K/yr

Reporting to the Senior Director, Data Science, you will execute the analytical strategy for our ... Advanced proficiency in preprocessing, analyzing, and cataloging high-throughput molecular biology ...

Pwc

AI Engineer / Data Scientist, AI Manager

Chicago, IL · On-site

$99K - $297K/yr

... Preprocessing and handling large datasets - Developing and deploying models in PyTorch, TensorFlow, or JAX - Staying current on industry trends and tools - Mentoring junior team members with coaching ...

CoSourcing Partners

GCP Gemini AI Developer

Chicago, IL · On-site +1

Develop data ingestion and preprocessing pipelines using BigQuery , Dataform , and Pub/Sub . * Apply prompt engineering and parameter tuning to improve generative model accuracy. * Implement RAG ...

Resource Point LLC

AI/ML Engineer

Chicago, IL · On-site

Data Pipeline Management: Build and manage scalable data pipelines for preprocessing, feature engineering, and data flow to train and evaluate ML models. * Model Training and Deployment: Train, test ...

IMC

Machine Learning Researcher

Chicago, IL · On-site

Manage data acquisition, preprocessing, and feature engineering for structured and unstructured data sources Your Skills and Experience: * PhD or Master's in Engineering, Math, Statistics, Computer ...

Anson McCade

Quantitative Researcher

Chicago, IL · On-site

$200K - $400K/yr

The firm has a flat, collaborative and open environment, where Quantitative Researchers carry out full-stack research from preprocessing data and feature engineering through to strategy ...

Tror AI for everyone

Senior AI Developer

Mettawa, IL · On-site

$62.50 - $82.50/hr

Data Pipeline Development: Set up scalable data pipelines for data ingestion, embedding generation, preprocessing, and continuous model training/retraining. * Technical Leadership & Collaboration:

Tror AI for everyone

AI Developer

Mettawa, IL · On-site

$80/hr

Data Pipeline Development: Set up scalable data pipelines for data ingestion, embedding generation, preprocessing, and continuous model training/retraining. * Technical Leadership & Collaboration:

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Data Preprocessing information

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.
What are popular job titles related to Data Preprocessing jobs in Illinois? For Data Preprocessing jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Data Preprocessing jobs in Illinois look for? The top searched job categories for Data Preprocessing jobs in Illinois are:
What cities in Illinois are hiring for Data Preprocessing jobs? Cities in Illinois with the most Data Preprocessing job openings:
Data Preprocessing jobs near you
Cybersecurity Engineer, Artificial Intelligence

Cybersecurity Engineer, Artificial Intelligence

Wintrust

Rosemont, IL • On-site

$120K - $167K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 20 days ago

Key responsibilities

  • Lead security assessments within the Responsible Artificial Intelligence Alliance for Large Language Models, Natural Language Models, Small Language Models, or other AI projects.

  • Review AI architectural designs and usage within third-party products for compliance with security best practices, AI security frameworks, and regulatory requirements.

  • Analyze AI-specific security risks, including algorithmic bias, sensitive data exposure, PII leakage, and model poisoning, to ensure models remain resilient against manipulation.

Wintrust rating

8.0

Company rating: 8.0 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

55th of 142 rated banks

Job description

Wintrust provides community and commercial banking, specialty finance and wealth management services through its 16 bank charters and nine non-bank businesses. Wintrust delivers the sophisticated solutions of a large bank while staying true to the relationship-focused, personalized service of our community banking roots. We serve clients in all 50 states with more than 200 branch banking locations in Illinois, southwestern Florida, northwestern Indiana, west Michigan and southern Wisconsin and commercial banking offices in Chicago, Denver, Milwaukee, Grand Rapids, Mich., and in key branch banking locations throughout Illinois. Our people are the heart of our business and we are proud to rank consistently as a top place to work. Wintrust is a $66 billion financial institution based in Rosemont, Illinois, and listed on the NASDAQ Global Select Market under the symbol "WTFC."
Why join us?
  • An award-winning culture! We are rated a Top Workplace by the Chicago Tribune (past 12 years) and Employee Recommended award by the Globe & Mail (past 6 years)
  • Competitive pay and discretionary or incentive bonus eligible
  • Comprehensive benefit package including medical, dental, vision, life, a 401k plan with a generous company match and tuition reimbursement to name a few
  • Promote from within culture

Why join this team?
  • This position has the opportunity to interface with and have a positive impact on multiple areas of Wintrust's business
  • We hold ourselves accountable to high standards, share wins, operate ethically, and have fun

Position Overview
The AI Cybersecurity Engineer will support technical security engineering for Wintrust's Responsible Artificial Intelligence Alliance (RAIA). This is a hands-on role focused on building robust defense-in-depth for AI systems, specializing in the secure integration of LLM frameworks and the mitigation of adversarial machine learning risks. You will collaborate across multi-disciplined teams to engineer automated security controls, perform red teaming on model deployments, and ensure that AI innovations remain resilient against evolving threat vectors.
What You'll Do
  • Lead security assessments within the RAIA for Large Language Models (LLMs), Natural Language Models (NLMs), Small Language Models (SLMs), or other projects under the scope of Artificial Intelligence
  • Participate in RAIA to review use cases based on value, complexity, feasibility, risks, compliance, and alignment with strategic goals
  • Review AI architectural designs and usage within third-party products for compliance with security best practices, AI security frameworks, and regulatory requirements
  • Participate in the RAIA to build and maintain standards and frameworks for Wintrust to use to review use cases and help the business develop use cases
  • Analyze AI-specific security risks, including algorithmic bias, sensitive data exposure, PII leakage, and model poisoning (adversarial attacks), ensuring models remain resilient against manipulation
  • Demonstrate agility by managing shifting security priorities and "other duties" as AI integration evolves, ensuring Wintrust's defense posture remains aligned with organizational needs
  • Experience building and fine-tuning LLMs using frameworks like PyTorch or TensorFlow, with a focus on writing clean, scalable code for data preprocessing, embedding generation, and API integration while maintaining secure coding practices to prevent injection vulnerabilities

Qualifications
  • Bachelor's degree in Data Science, Computer Science, or AI preferred or equivalent experience
  • 3-5 years of experience in the full Software Development Lifecycle
  • Specific or relative experience in conducting security reviews of AI-driven applications to identify vulnerabilities in code, model logic, and data integration is a plus, but not necessary
  • Understanding of machine learning architecture, including the ability to evaluate the security of training pipelines, inference engines, and API-driven workflows from a software engineering perspective
  • Cybersecurity and/or Artificial Intelligence related certifications preferred

Benefits
Medical Insurance • Dental • Vision • Life insurance • Accidental death and dismemberment • Short-term and long-term Disability Insurance • Parental Leave • Employee Assistance Program (EAP) • Traditional and Roth 401(k) with company match • Flexible Spending Account (FSA) • Employee Stock Purchase Plan at 5% discount • Critical Illness Insurance • Accident Insurance • Transportation and Commuting Benefits • Banking Benefits • Pet Insurance
Compensation
The estimated salary range for this role is $120,000 - $167,000.00, along with eligibility to earn an annual bonus. Actual salaries may vary based on several factors, such as a candidate's qualifications, skills and experience.
#LI-Hybrid
#LI-JB1
From our first day in business, Wintrust has been proud to serve a variety of unique communities and people from all walks of life. To build a company that reflects the communities we serve, we believe that fostering a unique and inclusive workplace where everyone feels valued and empowered to succeed will support our ongoing success. Wintrust Financial Corporation, including community banking and financial services subsidiaries, is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information, and other legally protected categories.

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