1

Data Mining Jobs in Missouri (NOW HIRING)

* 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

New

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 ...

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

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

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

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

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

Demonstrated knowledge and experience in data mining, cleansing, and exploring spatial, temporal, and non-spatial data in both structured and unstructured formats. * Familiarity with: common data ...

New

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 ...

... 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 ...

... 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 ...

R&D Engineer II-Software

Bridgeton, MO · On-site

$92K - $126K/yr

Facilitate data mining efforts for business and R&D needs. * Perform data analysis required to troubleshoot data related issues. * Develop algorithms to transform data into useful, actionable ...

next page

Showing results 1-20

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 13, 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:

Infographic showing various Data Mining job openings in Missouri as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 9% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $65,660 per year, or $31.6 per hour.

Senior Data Scientist, Level 5

Jobtailor

California, MO • On-site

$140 - $190/hr

Other

Posted 3 days ago

New


Job description

  • 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
  • Drive informed and timely decision-making that improves and optimizes the way our products are created, executed, and adopted
  • Collaborate with product managers, engineers, product marketers, and designers
  • Think creatively, proactively, and futuristically to identify and size up new opportunities within Snap's long-term roadmap for data-scientific contributions
  • Conduct machine learning or statistical analyses, and build pragmatic, scalable, and statistically rigorous solutions to deliver actionable insights, accurate predictions, and effective optimizations
  • Communicate best practices in quantitative analysis and develop cross-functional partnerships
  • Utilize AI tools to more efficiently develop scalable data solutions, while maintaining rigorous standards for accuracy and statistical integrity.
Requirements
  • Bachelor's Degree in a relevant technical field such as statistics, mathematics, economics, computer science, engineering or related field or equivalent years of practical work experience
  • 5+ years of post-Bachelor’s quantitative analysis and data science experience; or a Master’s degree in a technical field + 4+ years of post-grad quantitative analysis and data science experience; or a PhD in a related technical field + 1+ years of post-grad quantitative analysis and data science experience
  • 5+ years of experience using SQL or similar big data querying languages
  • 5+ years of experience with programming language, such as Python or R
  • 5+ years of experience with applied statistical techniques, such as inferential methods, causal methods, A/B testing, or statistical modeling techniques
  • Advanced degree in applied mathematics, statistics, actuarial science, economics or related field
  • Experience in a product-focused role at a social media, online advertising, digital media and/or mobile technology company
  • Experience using machine learning and statistical analysis for building data-driven product solutions or performing methodological research.
Core Competencies

Demonstrates expertise in quantitative analysis, data mining, and statistical modeling to deliver actionable insights and optimize product decisions. Proficient in machine learning techniques and SQL, with a strong background in collaboration across cross-functional teams in a product-focused environment.

Highest-signal resume keywords
  • Quantitative Analysis
  • Machine Learning
  • Statistical Modeling
  • SQL
  • Python
ATS Optimization KeywordsHard Skills
  • Data Mining
  • Statistical Techniques
  • A/B Testing
  • Inferential Methods
  • Causal Methods
  • Data Science
  • Predictive Analytics
  • Data Visualization
  • Big Data Querying
  • Statistical Rigor
Soft Skills
  • Creative Thinking
  • Proactive Problem Solving
  • Effective Communication
  • Collaboration
Certifications & Qualifications
  • Bachelor's Degree
  • Master's Degree
  • PhD
Industry Keywords
  • Social Media
  • Online Advertising
  • Digital Media
  • Mobile Technology
Tools & Technologies
  • AI Tools
  • Data Solutions
#J-18808-Ljbffr