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Data Mining Jobs in Missouri (NOW HIRING)

Jobtailor

Senior Data Scientist - SMTS

California, MO · On-site

$110 - $150/hr

Demonstrated experience delivering advanced data mining or machine learning techniques as a lead or sole contributor. * At least two (2) years of experience in selecting and applying ...

Iftechs

Senior Data Scientist - (Arnold, MO)

Arnold, MO · On-site

$90 - $130/hr

Demonstrated experience in data mining and developing, maintaining, and manipulating databases. * Experience identifying and implementing system enhancements, new capabilities, concept demonstrators ...

Jobtailor

Data Scientist, Level 4

California, MO · On-site

$120 - $180/hr

* Apply your expertise in quantitative analysis, data mining, and statistical modeling to deliver impactful, objective, and actionable data insights that enable informed business and product decisions

Jobtailor

Senior Data Scientist

California, MO · On-site

$120 - $180/hr

Apply your expertise in quantitative analysis, data mining, and statistical modeling to deliver impactful, objective, and actionable data insights that enable informed business and product decisions

Embtel, Inc.

Jr. Data Scientist

Saint Louis, MO

... data mining, predictive modeling, machine learning, statistical modeling, large scale data acquisition, transformation, and structured and unstructured data analysis. Experience with database ...

Embtel, Inc.

Jr. Data Scientist

Saint Louis, MO · On-site

... data mining, predictive modeling, machine learning, statistical modeling, large scale data acquisition, transformation, and structured and unstructured data analysis. Experience with database ...

Esri

Build high-quality analytics systems that solve our customers' business problems using techniques from data mining, statistics, and machine learning * Write clean, collaborative, and version ...

PureCars

Demand Generation Specialist

Kansas City, MO · On-site +1

... data mining, digital advertising, and AI solutions, recently strengthened by the addition of AutoAlert, the long-time leader in automotive data mining. Trusted by the best dealers in North America ...

PureCars

Demand Generation Specialist

Kansas City, MO · On-site +1

... data mining, digital advertising, and AI solutions, recently strengthened by the addition of AutoAlert, the long-time leader in automotive data mining. Trusted by the best dealers in North America ...

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Showing results 1-20

All JobsData Mining JobsData Mining Jobs in Missouri

Data Mining information

See Missouri salary details

$47.8K

$65.7K

$83.5K

How much do data mining jobs pay per year?

As of Aug 10, 2026, the average yearly pay for data mining in Missouri is $65,660.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,600.00 and $79,700.00 per year, depending on experience, location, and employer.

What are some common challenges faced by professionals in data mining roles?

Data Mining professionals often encounter challenges such as handling large and complex datasets, ensuring data quality, and selecting the most appropriate algorithms for specific business problems. Managing diverse data sources and cleaning data to prepare it for analysis can be time-consuming and requires careful attention to detail. Collaboration with business analysts, IT staff, and subject matter experts is frequent, as understanding the business context is essential for meaningful results. Overcoming these challenges is key to delivering accurate insights and supporting strategic decisions within an organization.

What is a data mining?

A Data Mining job involves extracting useful patterns, trends, and insights from large datasets using statistical, machine learning, and analytical techniques. Professionals in this field work with structured and unstructured data to help businesses make data-driven decisions. Common tasks include data preprocessing, feature selection, algorithm development, and result interpretation. They often use tools like Python, R, SQL, and data visualization software to analyze data effectively.

What are the key skills and qualifications needed to thrive in data mining, and why are they important?

To thrive in Data Mining, a strong background in statistics, mathematics, computer science, and data analysis is usually required, often supported by a related degree or equivalent experience. Familiarity with tools such as Python, R, SQL, and data mining platforms like Weka or RapidMiner, as well as certifications in data analytics, are highly beneficial. Strong problem-solving abilities, analytical thinking, and effective communication skills help professionals interpret complex data and share actionable insights with stakeholders. These competencies are crucial for extracting valuable information from large datasets and driving data-informed decision-making within organizations.

What are the most commonly searched types of Data Mining jobs in Missouri? The most popular types of Data Mining jobs in Missouri are:
What are popular job titles related to Data Mining jobs in Missouri? For Data Mining jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Data Mining jobs in Missouri look for? The top searched job categories for Data Mining jobs in Missouri are:
Data Mining jobs near you
Infographic showing various Data Mining job openings in Missouri as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $65,660 per year, or $31.6 per hour.

Director, Data Science and Artificial Intelligence - Oncology / Prostate Cancer

Jobtailor

California, MO • On-site

$120 - $180/hr

Other

Posted 5 days ago

Job description

Responsibilities
  • Serve as primary scientific and strategic business leader for clinical‑stage Prostate Cancer Programs within Data, Data Science, and AI
  • Represent Data Science to Compound Team(s), where you will identify, develop and deploy Data Science solutions, including program and trial AI strategy to support clinical development
  • Provide subject matter expertise in prostate cancer clinical development, trial design, real‑world evidence generation, and ML/AI tools
  • With internal and external teams, leverage advanced analytics, including statistical models and AI/ML, to uncover insights from these complex datasets
  • Work closely with individual clinical project teams as well as functional area partners in Regulatory Affairs, Medical Affairs, Clinical Development, Epidemiology, Commercial Data Science, Statistics, and others to deploy Data Science solutions
  • Evaluate and manage external partnerships that can leverage new technologies/solutions/data assets for Prostate cancer program needs
Requirements
  • Advanced degree (PhD, MD, PharmD or MS) in a field experienced working with high‑dimensional datasets (e.g., Data Science, Pharmacoepidemiology, Biostatistics, Outcomes Research, Public Health, Computer Science)
  • A minimum of 8 years experience in drug development or related discipline in the field of biotechnology, artificial intelligence, omics, or real‑world evidence, or 8 years in clinical practice with outcomes research experience
  • Working knowledge of clinical oncology, such as treatment paradigms, patient experience, and clinical trials
  • An understanding of common data science research practices, such as predictive technologies, data mining and/or text mining
  • Hands‑on experience with a range of data science use cases in R&D (e.g., ECAs, site selection algorithms) and strong problem‑solving abilities
  • Experience working with healthcare‑related datasets, such as electronic health records (EHR), omics, or imaging datasets, with an understanding of their structure, limitations and applications to research
  • Prior experience working and driving external partnerships, either corporate or academic
  • Proven track record of managing timelines and driving key deliverables in a matrixed organization
  • Excellent communication, interpersonal, and written skills
Hard Skills
  • data science
  • machine learning
  • artificial intelligence
  • biostatistics
  • predictive technologies
  • data mining
  • clinical trial design
  • real‑world evidence generation
  • high‑dimensional datasets
  • clinical oncology
Soft Skills
  • problem-solving
  • communication
  • interpersonal skills
  • written skills
  • leadership
  • strategic thinking
  • collaboration
  • project management
  • time management
  • stakeholder engagement
Certifications & Qualifications
  • PhD
  • MD
  • PharmD
  • MS
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