ZipRecruiter

Log In

1

Data Scientist Jobs in Edwardsville, IL (NOW HIRING)

Intellectix

Data Scientist

Saint Louis, MO · On-site

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 ...

Intellectix

Data Scientist

Saint Louis, MO · On-site

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 ...

RADaR

Data Scientist

Saint Louis, MO · Hybrid

We're seeking a Data Scientist with exceptional statistical expertise to join our team. In this role, you'll work directly with advertising agencies and brands to analyze customer behavior patterns ...

bioMérieux

Sr. Data Scientist

Hazelwood, MO · On-site

Description bioMerieux's Data Science group is looking for an experienced Data Scientist to help develop solutions for the next generation product concepts that will have a direct impact on the ...

bioMerieux Inc.

Sr. Data Scientist

Hazelwood, MO · On-site

Description bioMerieux's Data Science group is looking for an experienced Data Scientist to help develop solutions for the next generation product concepts that will have a direct impact on the ...

Biomerieux

Sr. Data Scientist

Hazelwood, MO · On-site

Description bioMerieux's Data Science group is looking for an experienced Data Scientist to help develop solutions for the next generation product concepts that will have a direct impact on the ...

bioMerieux

Sr. Data Scientist

Hazelwood, MO

bioMerieux's Data Science group is looking for an experienced Data Scientist to help develop solutions for the next generation product concepts that will have a direct impact on the future of medical ...

BioFire Diagnostics

Sr. Data Scientist

Hazelwood, MO

bioMerieux's Data Science group is looking for an experienced Data Scientist to help develop solutions for the next generation product concepts that will have a direct impact on the future of medical ...

Sedgwick

Principal Data Scientist

Saint Louis, MO · On-site +1

Provide technical guidance to data scientists and analysts across the organization. * Mentor junior team members on statistical methods, machine learning techniques, and analytical rigor. * Translate ...

Copeland

Experienced Data Scientist

Saint Louis, MO · Hybrid

As a Experienced Data Scientist, You Will * Apply machine learning, econometrics, and emerging AI methods, to support internal teams and improve business operations. * Explore and prototype GenAI and ...

Post Holdings Inc.

Associate Data Scientist II

Saint Louis, MO · On-site

$55.20K - $55.70K/yr

Responsibilities The Associate Data Scientist will primarily focus on data science project execution, using Python, Tableau, Azure ML and SQL to solve challenging problems like forecasting and ...

Copeland

Senior Data Scientist

Saint Louis, MO · On-site +1

As a Senior Data Scientist, You Will * Apply machine learning, econometrics, and emerging AI methods, to support internal teams and improve business operations. * Explore and prototype GenAI and ...

Esri

Data Scientist I

Saint Louis, MO · On-site

$70.30K - $110.24K/yr

We're seeking a Data Scientist who combines technical expertise with strong interpersonal skills to collaborate directly with customers, understand their unique challenges, and develop data-driven ...

next page

Showing results 1-20

People also search for

All JobsData Scientist JobsData Scientist Jobs in Edwardsville, IL

Data Scientist information

See Edwardsville, IL salary details

$35.2K

$115.2K

$184.4K

How much do data scientist jobs pay per year?

As of May 28, 2026, the average yearly pay for data scientist in Edwardsville, IL is $115,160.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,400.00 and $127,600.00 per year, depending on experience, location, and employer.

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 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 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 are Data Scientists?

Data Scientists are professionals who use statistical, analytical, and programming skills to collect, analyze, and interpret large volumes of data. They extract insights and trends from complex data sets to help organizations make data-driven decisions. Data Scientists often work with machine learning, data mining, and big data technologies to build predictive models and solve business problems. Their work bridges the gap between technical data analysis and actionable business strategy.

What is the job of a data scientist?

A data scientist analyzes large datasets to extract insights and support decision-making using statistical methods, programming, and data visualization tools. They often work with machine learning models and require skills in programming languages like Python or R, as well as knowledge of databases and data analysis techniques.

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.

More about Data Scientist jobs
What are the most commonly searched types of Data Scientist jobs in Edwardsville, IL? The most popular types of Data Scientist jobs in Edwardsville, IL are:
What are popular job titles related to Data Scientist jobs in Edwardsville, IL? For Data Scientist jobs in Edwardsville, IL, the most frequently searched job titles are:
What job categories do people searching Data Scientist jobs in Edwardsville, IL look for? The top searched job categories for Data Scientist jobs in Edwardsville, IL are:
What cities near Edwardsville, IL are hiring for Data Scientist jobs? Cities near Edwardsville, IL with the most Data Scientist job openings:
Data Scientist jobs near you
Data Scientist

Data Scientist

Intellectix

Saint Louis, MO • On-site

Full-time

Posted 12 days ago

Job description

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 the lives of millions. At Intellectix, we are on a mission to empower them with innovative technical solutions and drive transformational change. As a Data Scientist, you'll be the cornerstone of this mission, ensuring the security of crucial data, optimizing IT infrastructure, and simplifying business processes through cutting-edge software systems. Because at Intellectix, it's not what we do, it's why we do it.
Responsibilities & Duties:
This position supports the Geospatial Services & Solutions business area to provide high-quality, cost-effective solutions to the customer. As part of the GSS Team, the Data Scientist's expertise is needed to support a sophisticated enterprise environment. The Scientist is an active participant in SAFe and Scrum development teams and meetings.
  • Identify data sources and automate collection processes.
  • Perform preprocessing of structured and unstructured data.
  • Analyze large, complex data sets to identify trends and patterns.
  • Build predictive models and machine learning algorithms.
  • Combine models through ensemble modeling.
  • Present information using data visualization techniques.
  • Propose solutions and strategies to address Key Intelligence Questions.
  • Collaborate with engineering and product development teams.

Qualifications:
Education/Experience:
  • 2+ years of experience as a Data Scientist, Data Engineer, ML Engineer, or Data Analyst and a Bachelor's Degree in Computer Programming, Science, Engineering, or a related technical discipline, or the equivalent combination of education, technical training, or work/military experience.
  • 3+ years of experience in a Linux environment.
  • Direct experience and demonstrated proficiency with Python programming to build containerized microservices that use message queues such as activemq or rabbitmq.
  • Experienced in ML Model performance testing and hyperparameter tuning (Tensorboard, wandb, mlflow).
  • Experience training ML models with GPU acceleration in a containerized environment using common AI frameworks such as Tensorflow or Torch.
  • Experience with workload managers (SLURM, Argo Workflow, Airflow).
  • Strong problem-solving and troubleshooting skills.
  • Strong communication and interpersonal skills.
  • Must possess excellent time management skills and the drive to work unsupervised.
  • Active TS/SCI clearance required and eligibility to obtain a CI poly.

Desired Skills:
  • Prior experience working with or within the Intelligence Community or a military intelligence unit.
  • Understanding of access management and security groups (i.e. IAM, S3 bucket, SSH, VPN, etc.).
  • Computer vision-related experience with torchvision or tensorflow object detection APIs.
  • Additional languages on top of Python preferred (C++, Julia, Go, R).
  • Familiarity with Cloud Platform AI-ML toolsets (e.g. AWS Sagemaker, GCP Vertex).
  • Experience building data pipelines with spark, kafka, or nifi.

Join Intellectix and be part of a dynamic team that thrives on tempo, teamwork, and technical excellence. Your skills and expertise will contribute to creating a safer and smarter tomorrow.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Apply