ZipRecruiter

Log In

1

Data Mining Jobs in Missouri (NOW HIRING)

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 ...

New

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 ...

JS Consulting

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 ...

GRVTY

Data Scientist - Senior

Arnold, MO · Remote

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

Esri

Data Scientist I

Saint Louis, MO · On-site

$70K - $110K/yr

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 ...

Kohl's

Conceptual understanding of Data Mining and Machine Learning methodologies for analytical application Preferred * Degree in Mathematics or Statistics, Economics, Computer Science, Predictive ...

Jobgether

Strong understanding of database structures, data administration principles, and data mining techniques. * Experience managing data collection, validation, analysis, storage, and distribution ...

New

Sam's Club

Data Scientist III

Noel, MO · On-site

$90K - $180K/yr

Work on highly-scalable ML models and algorithms in big data mining, graph modeling & other domains. * Work with engineering teams to implement model pipeline and deploy the service at scale.

next page

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 Jul 31, 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 does a data miner do?

A data miner analyzes large datasets to identify patterns, trends, and useful information that can support decision-making. They use tools like SQL, Python, or specialized software to extract and interpret data, often working in environments that require strong analytical and technical skills. Data mining is essential in fields like marketing, finance, and healthcare for uncovering insights and improving strategies.

Is data mining a good career?

Data mining is a viable career that involves analyzing large datasets to extract useful information, often requiring skills in statistics, programming, and data analysis tools like SQL and Python. It is in demand across industries such as finance, healthcare, and marketing, with opportunities for growth and specialization. Success in this field typically requires continuous learning and relevant certifications.

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 job?

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.

Is 40 too late for data science?

Data mining is a key skill in data science, and professionals can enter the field at any age. Success depends on acquiring relevant skills such as programming, statistics, and tools like SQL or Python, regardless of age, making 40 not too late to start a career in data science.

What are the key skills and qualifications needed to thrive in the Data Mining position, 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 July 2026, with employment types broken down into 1% As Needed, 87% Full Time, 9% Part Time, 1% Temporary, and 2% 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.

Senior Data Scientist with Security Clearance

Integrity First Technologies LLC

Arnold, MO • On-site

Contractor

Re-posted 7 days ago

Job description

Senior Data Scientist (10+ yrs experience) - NGA Arnold, MO Salary Range: $150-160K Must Have:​ Strong working knowledge and hands-on experience with Esri solutions such as Esri ArcGIS Pro, ArcGIS Online, and secure enterprise Esri portals such as Safehouse and ICGIS. Senior-level proficiency in Python and its data science and visualization ecosystem, including Pandas, NumPy, SciPy, Matplotlib, Plotly, Dash, Bokeh, and related libraries. Demonstrated experience creating highly customized visualizations and analytic applications to meet unique operational and business requirements. Demonstrated experience automating analytic and business processes using Python and related technologies. Experience applying artificial intelligence and machine learning (AI/ML) techniques to structured and unstructured datasets. 10+ years of relevant experience in data science, advanced analytics, machine learning, data visualization, and business analytics. A combination of experience, professional certifications, and technical training may be considered in lieu of some years of experience. Experience supporting Intelligence Community operations. Demonstrated experience in data mining and developing, maintaining, and manipulating databases. Experience identifying and implementing system enhancements, new capabilities, concept demonstrators, and modernization initiatives. Knowledge of advanced analytic methodologies and experience implementing them to support mission and business objectives. Strong written and verbal communication skills with the ability to explain complex technical concepts in a clear and understandable manner.

Apply