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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 ...

New

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 ...

New

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

New

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

New

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 7, 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.

Data Scientist at Nukasani Group California

Payfuture Technologies

California, MO • On-site

Other

Posted 2 days ago

New

Job description

Assigned Job Details

Job Title : Data Scientist
Location: Sunnyvale, CA ,Onsite
Rate : Best competitive rate

Position Overview

We are seeking an experienced Data Scientist to join a high-performing team in Sunnyvale, CA. This is a fully onsite role, ideal for a professional who thrives in a collaborative, research-oriented environment. The successful candidate will bring advanced expertise in Python, SQL, PySpark, and GCP , with strong skills in predictive modeling, machine learning, and data mining.

Key Responsibilities
  • Develop and implement predictive models to support business decision-making.
  • Apply advanced data mining, statistical analysis, and pattern recognition techniques.
  • Design, test, and deploy machine learning algorithms and solutions.
  • Extract, clean, and analyze large datasets using Python, SQL, and PySpark.
  • Leverage GCP and other cloud technologies to build scalable data solutions.
  • Create dashboards, visualizations, and reports using Tableau, Excel, and PowerPoint.
  • Collaborate with cross-functional teams on multiple concurrent projects.
  • Present actionable insights and recommendations to stakeholders.
Required Qualifications
  • 7+ years of professional experience in data science.
  • Strong programming skills in Python or R ; experience with statistical analysis and machine learning.
  • Advanced proficiency in SQL and PySpark .
  • Hands‑on experience with GCP (Google Cloud Platform) .
  • Strong knowledge of data mining, mathematics, and statistical analysis .
  • Proven track record in pattern recognition and predictive modeling .
  • Proficiency with Excel, PowerPoint, Tableau , and additional programming languages (e.g., Java, SAS).
  • Ability to work effectively in a fast‑paced, research‑driven environment with multiple projects.
  • Bachelor's degree (or higher) in Statistics, Applied Mathematics, Data Science, or a related field .
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