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Data Scientist Jobs in O Fallon, IL (NOW HIRING)

Data Scientist Remote 12 Month Contract to hire Data Scientist - Profile Overview This is a data foundation-heavy Data Scientist role with strong overlap into Data Engineering. What the client is ...

Data Scientist Location: St. Louis, MO Clearance: TS/SCI Citizenship: US Citizenship Required Whether running countries, corporations, or courtrooms, our clients bear the responsibility for shaping ...

Data Scientist Location: St. Louis, MO Clearance: TS/SCI Citizenship: US Citizenship Required Whether running countries, corporations, or courtrooms, our clients bear the responsibility for shaping ...

Data Scientist

Saint Louis, MO · On-site

$88K - $123K/yr

As a Data Scientist at Nestle Purina,you'llbuild and deploy the machine learning and optimization models that drivereal businessvalue across functions such as Manufacturing, Marketing, Supply Chain ...

ABOUT THE ROLE The Data Scientist is a key driver of innovation, transforming data into actionable insights that improve business processes. In this role, you'll develop cutting-edge analytical ...

ABOUT THE ROLE The Data Scientist is a key driver of innovation, transforming data into actionable insights that improve business processes. In this role, you'll develop cutting-edge analytical ...

ABOUT THE ROLE The Data Scientist is a key driver of innovation, transforming data into actionable insights that improve business processes. In this role, you'll develop cutting-edge analytical ...

The Data Scientist builds analytical products to improve business processes. These products include using algorithms for automation, building predictive models, designing experiments, attempting ...

Principal Data Scientist YOUR TASKS AND RESPONSIBILITIES The primary responsibilities of this role, Principal Data Scientist are to: A principal data scientist has complete oversight of data science ...

Principal Data Scientist YOUR TASKS AND RESPONSIBILITIES The primary responsibilities of this role, Principal Data Scientist are to: A principal data scientist has complete oversight of data science ...

Data Scientist Location: In Person: Falls Church, VA | Ft. Meade, MD | Stuttgart, Baden-Wurttemberg, Germany | Tampa, FL | Honolulu (Camp H.M. Smith), HI | Colorado Springs, CO | Doral (Miami area ...

Data Scientist Location: In Person: Falls Church, VA \u007C Ft. Meade, MD \u007C Stuttgart, Baden-Württemberg, Germany \u007C Tampa, FL \u007C Honolulu (Camp H.M. Smith), HI \u007C Colorado Springs ...

Experienced Data Scientist Company: The Boeing Company Boeing Defense, Space & Security (BDS) is hiring an Experienced Data Scientist for a Proprietary Program in Saint Louis, MO . We seek passionate ...

Experienced Data Scientist Company: The Boeing Company Boeing Defense, Space & Security (BDS) is hiring an Experienced Data Scientist for a Proprietary Program in Saint Louis, MO . We seek passionate ...

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Data Scientist information

See O Fallon, IL salary details

$35K

$114.5K

$183.3K

How much do data scientist jobs pay per year?

As of Sep 1, 2026, the average yearly pay for data scientist in O'Fallon, IL is $114,491.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,900.00 and $126,900.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a data scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks, data visualization tools, and big data platforms like TensorFlow, Tableau, and Hadoop, as well as certifications in data science, are highly valued. Excellent problem-solving skills, curiosity, and the ability to communicate complex findings clearly set outstanding data scientists apart. These skills and qualities are crucial for extracting actionable insights from data, driving business decisions, and collaborating effectively with stakeholders.

What do data scientists do?

Data scientists collect, confirm, and interpret data to determine useful information for their employer. They help organizations identify patterns and trends in their data to provide information about lucrative opportunities, necessary improvements, and potential innovations. The information data scientists get from the records they gather helps businesses make major decisions in critical areas, such as product development, sales and marketing techniques, and client retention. Data scientists are highly educated; the majority of them have at least a master's degrees, and many have doctorates. Data scientists are valuable members of organizations in many different industries, including pharmaceuticals, manufacturing, and banking.

What are some typical projects data scientists work on, and how do they collaborate with other teams?

Data Scientists often work on projects such as building predictive models, analyzing large datasets to uncover trends, and developing data-driven solutions to business problems. They regularly collaborate with cross-functional teams, including software engineers, data engineers, and business analysts, to ensure that their insights are actionable and aligned with business goals. Effective communication and teamwork are essential, as Data Scientists frequently need to present complex findings to non-technical stakeholders and incorporate feedback from various departments.

What is the difference between Data Scientist vs Data Analyst?

AspectData Scientist
Required CredentialsDegree in Computer Science, Statistics, or related field; often requires advanced degrees
Work EnvironmentResearch and development, predictive modeling, machine learning projects
Employer & Industry UsageTech companies, finance, healthcare, consulting firms
Common Search & ComparisonOften compared due to overlapping skills in data analysis and modeling

Data Scientists focus on building predictive models, advanced analytics, and machine learning, often requiring higher-level technical skills and education. Data Analysts primarily interpret existing data, generate reports, and support decision-making with descriptive analytics. While both roles analyze data, Data Scientists handle complex modeling and predictive tasks, whereas Data Analysts focus on data interpretation and reporting.

Is a data scientist job still in demand?

Yes, data scientist roles remain in high demand across various industries due to the increasing reliance on data-driven decision making. Skills in machine learning, statistical analysis, and programming languages like Python or R are highly valued, and employment opportunities continue to grow as organizations seek to leverage big data for competitive advantage.

What does a data scientist do exactly?

A data scientist analyzes large datasets to extract insights, build predictive models, and support decision-making. They use statistical techniques, programming languages like Python or R, and tools such as SQL and machine learning algorithms to interpret data and solve complex problems.

What are the most commonly searched types of Data Scientist jobs in O'Fallon, IL?

The most popular types of Data Scientist jobs in O'Fallon, IL are:

What cities near O'Fallon, IL are hiring for Data Scientist jobs?

Cities near O'Fallon, IL with the most Data Scientist job openings:

Infographic showing various Data Scientist job openings in O'Fallon, IL as of August 2026, with employment types broken down into 80% Full Time, 14% Part Time, and 6% Contract. Highlights an 86% In-person, 5% Hybrid, and 9% Remote job distribution, with an average salary of $114,491 per year, or $55 per hour.

Data Scientist

Stellar IT Group

Saint Louis, MO • On-site

Contractor

Re-posted 18 days ago


Job description

Overview:
Data Scientist
Remote
12 Month Contract to hire
Data Scientist - Profile Overview
This is a data foundation-heavy Data Scientist role with strong overlap into Data Engineering.
What the client is really looking for:
  • Advanced SQL + Python (core requirement); Joins, CTEs, window functions, analytical queries
  • Hands-on with data quality, validation, and reconciliation
  • Strong in backend data modeling, manipulation, and cleansing (owns data structure, grain, and reliability)
  • Experience ensuring data is accurate and usable for downstream analytics/BI
  • Solid traditional Machine Learning: Feature engineering, model training, evaluation
  • Not a model-only / AI-heavy DS
  • Less focus on deep learning, GenAI, etc.
  • More focus on data foundations + analytics reliability

Skills:
Data Scientist,Data Engineering,sql,python