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Data Mining Jobs (NOW HIRING)

Allcon, Inc.

Data Analyst

Chicago, IL · On-site

Data Mining experience * Big Data experience * Requirements facilitation and documentation experience * Advanced SQL skills * Experience working with offshore teams NICE TO HAVE: * Experience working ...

PNC Bank

Data Scientist

Strongsville, OH

Participates in the data gathering, data processing and data mining of large and complex datasets. * Develops algorithms using advanced mathematical and statistical techniques like machine learning ...

New

PNC Bank

Data Scientist

Ponca City, OK · On-site

Participates in the data gathering, data processing and data mining of large and complex datasets. * Develops algorithms using advanced mathematical and statistical techniques like machine learning ...

New

Bigbear.ai

Data Scientist, Lead

Washington, DC

$85K - $201K/yr

Overview BigBear.ai is seeking a Data Scientist to conduct data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis using scientific ...

InfoVision, Inc.

Data Engineer with Palantir

Dallas, TX

$113K - $136K/yr

Strong experience in Data Mining and data integration * Using Ingested Data from Real time streaming Kafka * Experience delivering ETL, data warehouse and data analytics capabilities on bigdata ...

Mindlance

Data Scientist

Houston, TX · On-site

They are seeking a Data Scientist with extensive experience in data mining, artificial intelligence, and machine learning to apply advanced analytics in business contexts. Qualifications : Required ...

PNC Bank

Data Scientist

Dallas, TX · On-site

Participates in the data gathering, data processing and data mining of large and complex datasets. * Develops algorithms using advanced mathematical and statistical techniques like machine learning ...

New

PNC Bank

Data Scientist

Schenectady, NY · On-site

Participates in the data gathering, data processing and data mining of large and complex datasets. * Develops algorithms using advanced mathematical and statistical techniques like machine learning ...

New

PNC Bank

Data Scientist

Birmingham, AL

Participates in the data gathering, data processing and data mining of large and complex datasets. * Develops algorithms using advanced mathematical and statistical techniques like machine learning ...

New

PNC Bank

Participates in the data gathering, data processing and data mining of large and complex datasets. * Develops algorithms using advanced mathematical and statistical techniques like machine learning ...

New

Epitec

Data Analyst 5

Plano, TX · On-site

$65 - $70/hr

Create best-practice reports based on data mining, analysis, and visualization * Evaluate internal systems for efficiency, problems, and inaccuracies, developing and maintaining protocols for ...

Bigbear.ai

Sr. Data Scientist

Washington, DC

$103K - $240K/yr

Overview BigBear.ai is seeking a Senior Data Scientist to conduct data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis using scientific ...

Booz Allen Hamilton

Data Scientist

Arlington, VA · On-site

Responsibilities : • analyzing structured and unstructured data sources • data exploration, data cleaning, data analysis, data visualization, data mining, or AI and ML techniques, including NLP ...

Inteldot

Sr Data Scientist 35431

Juncos, PR · On-site

Doctorate OR Masters + 2 years of data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field experience OR Bachelors + 4 ...

Mayvin, Inc

Data Scientist III

San Diego, CA · On-site

Typical responsibilities include applying data mining, modeling, natural language processing, and machine learning methods to analyze large structured and unstructured datasets; visualizing ...

Mayvin

Data Scientist III

San Diego, CA · On-site

$125K - $207K/yr

Typical responsibilities include applying data mining, modeling, natural language processing, and machine learning methods to analyze large structured and unstructured datasets; visualizing ...

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How much do data mining jobs pay per year?

As of Jun 11, 2026, the average yearly pay for data mining in the United States is $69,999.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,000.00 and $85,000.00 per year, depending on experience, location, and employer.

How much money do data miners make?

Data miners typically earn a median annual salary of around $60,000 to $80,000, depending on experience, education, and location. Entry-level positions may start lower, while experienced data miners with skills in SQL, Python, or data analysis tools can earn higher salaries or freelance rates.

What does a data miner do?

A data miner analyzes large datasets to identify patterns, trends, and useful information using techniques like statistical analysis and machine learning. They often use tools such as SQL, Python, or R and work to support decision-making, research, or business strategies. Strong analytical skills and knowledge of data management are essential for this role.

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 or training.

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 or data mining.

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.

More about Data Mining jobs
What cities are hiring for Data Mining jobs? Cities with the most Data Mining job openings:
What are the most commonly searched types of Data Mining jobs? The most popular types of Data Mining jobs are:
What states have the most Data Mining jobs? States with the most job openings for Data Mining jobs include:
What job categories do people searching Data Mining jobs look for? The top searched job categories for Data Mining jobs are:
Data Mining jobs near you
Infographic showing various Data Mining job openings in the United States as of June 2026, with employment types broken down into 97% Full Time, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $69,999 per year, or $33.7 per hour.

Data Scientist

Precision Technologies Corp

Mountain View, CA • On-site

Contractor

Posted 2 days ago

Job description

Role : Data Scientist

Location : Mountain View CA (Day 1 Onsite)

Responsibilities

  • Perform hands-on data analysis and modeling with large data sets
  • Lead experimental designs and measurement plans
  • Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms
  • Work side-by-side with Service Design & Delivery teams, Process Automation teams in designing experiments to improve expert efficiency and performance
  • Explore new design or technology shifts to determine how they might connect with the customer benefits we wish to deliver

Qualifications

  • Advanced in SQL and a statistical programming language such as Python and/or R
  • 2+ years’ experience in data mining algorithms and statistical modeling techniques such as clustering, classification, regression, decision trees, neural nets, support vector machines, anomaly detection, recommender systems, sequential pattern discovery, and text mining
  • Expertise in experimental design and Multivariate/A-B testing
  • Willingness and ability to adapt to rapid business and organizational changes that accompany a high-growth environment
  • Solid communication skills: Demonstrated ability to explain complex technical issues to both technical and non-technical audiences.
  • Undergraduate Degree in Quantitative Field, or equivalent experience