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Data Mining Scientist Jobs (NOW HIRING)

Hanchey

Data Scientist

Chicago, IL · On-site

$90K - $130K/yr

The Data Scientist Consultant (DSC) actively pursues new business opportunities for consulting engagements focusing on casualty and absence management data mining and predictive modeling projects.

Hanchey

Data Scientist

Dallas, TX · On-site

$85K - $130K/yr

The Data Scientist Consultant (DSC) actively pursues new business opportunities for consulting engagements focusing on casualty and absence management data mining and predictive modeling projects.

Mindlance

Data Scientist

San Francisco, CA · On-site

They are seeking a Data Scientist to develop predictive models in marketing, understand business ... into data mining problems • Applying techniques such as clustering, classification and ...

Mindlance

Data Scientist

San Francisco, CA · On-site

They are seeking a Data Scientist to develop predictive models in marketing, understand business ... into data mining problems • Applying techniques such as clustering, classification and ...

Mindlance

Data Scientist

Houston, TX · On-site

They are seeking a Data Scientist with extensive experience in data mining and machine learning to tackle business analytics challenges. Qualifications : Required : • Minimum 8 years of relevant ...

Motional

Machine Learning Engineer, Data Mining

Pittsburgh, PA · On-site +1

$111K - $133K/yr

What We're Looking For (Must-Haves): * BS or MS in Computer Science, Machine Learning, or a related ... Experience with ML-based data mining, active learning, or contrastive learning. * Knowledge of ...

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 ...

DevSelect

Principal Data Scientist

Redmond, WA · On-site

Our Client is looking for Data Scientists who are dedicated to data mining techniques for various applications serving enterprise and consumer end-users. Understanding of machine learning techniques ...

Motional

Machine Learning Engineer, Data Mining

Boston, MA · On-site +1

$124K - $149K/yr

What We're Looking For (Must-Haves): * BS or MS in Computer Science, Machine Learning, or a related ... Experience with ML-based data mining, active learning, or contrastive learning. * Knowledge of ...

GDIT

Data Mining Analyst - Onsite

Vienna, VA · On-site

Data Science and Data Engineering Job Qualifications: Skills: Data Analysis, Data Mining, Statistical Analysis Certifications: None Experience: 2 + years of related experience US Citizenship Required:

Bigbear.ai

Data Scientist, Lead

Washington, DC

$114K - $171K/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 ...

PROPRIUS

Data Scientist

Sunnyvale, CA

$130K - $160K/yr

Data Scientist Location: Sunnyvale, CA Sponsorship: Yes Relocation: Yes Industry: eCommerce Are you ... Use data mining and machine learning techniques to develop robust models in areas such as ...

Motional

Machine Learning Engineer, Data Mining

Boston, MA · On-site +1

$144K - $192K/yr

MS/PhD in Computer Science, Machine Learning, or related field. * Experience with agentic systems ... Experience with ML-based data mining, active learning, or contrastive learning. * Knowledge of ...

Bigbear.ai

Sr. Data Scientist

Washington, DC

$140K - $211K/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 ...

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All JobsData Mining Scientist Jobs

Data Mining Scientist information

See salary details

$37.5K

$122.7K

$196.5K

How much do data mining scientist jobs pay per year?

As of Jul 24, 2026, the average yearly pay for data mining scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

Is a data scientist in high demand?

Data scientists are in high demand across many industries due to the increasing reliance on data-driven decision making. The role often requires skills in programming, statistical analysis, and machine learning, and job growth is expected to remain strong in the coming years.

Is 30 too late for data science?

Data Mining Scientists and other data science roles often value skills and experience over age. Many professionals transition into data science in their 30s or later by acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications. Age is generally not a barrier if you develop the necessary technical expertise and practical experience.

What is the difference between Data Mining Scientist vs Data Analyst?

AspectData Mining ScientistData Analyst
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related fields; knowledge of machine learningBachelor's degree in Statistics, Mathematics, or related fields; proficiency in data visualization and analysis tools
Work EnvironmentResearch-focused, developing models, exploring large datasetsBusiness-focused, interpreting data, creating reports and dashboards
Employer & Industry UsageTech companies, research institutions, large enterprisesRetail, finance, healthcare, marketing

While both roles analyze data, Data Mining Scientists focus on developing predictive models and algorithms from large datasets, often in research or development settings. Data Analysts interpret data to generate reports and insights for business decisions. The roles complement each other but differ in technical depth and focus areas.

Is 40 too late for data science?

Data mining scientists and data scientists can enter the field at any age, as success depends on skills, experience, and continuous learning. Many professionals transition into data science later in their careers by acquiring relevant knowledge in programming, statistics, and tools like Python or R. Age is not a barrier if you develop the necessary expertise and stay current with industry trends.

What are the key skills and qualifications needed to thrive as a Data Mining Scientist, and why are they important?

To thrive as a Data Mining Scientist, you need a strong background in statistics, data analysis, and programming, usually supported by a degree in computer science, mathematics, or a related field. Expertise with tools and languages such as Python, R, SQL, and machine learning frameworks (e.g., scikit-learn, TensorFlow), as well as experience with big data platforms like Hadoop or Spark, is essential. Strong problem-solving abilities, communication skills, and curiosity help you uncover insights and present findings effectively. These skills are crucial for extracting valuable information from complex datasets, driving data-driven decisions, and supporting organizational goals.

How does a Data Mining Scientist typically collaborate with other departments within a company?

Data Mining Scientists often work closely with cross-functional teams, including data engineers, business analysts, and product managers. They collaborate to define project goals, understand data requirements, and translate business needs into actionable data models. Effective communication is key, as Data Mining Scientists must explain complex findings in an accessible way and work together to implement data-driven solutions that support business objectives. This collaborative environment fosters innovation and ensures that insights are aligned with broader company strategies.

What does a Data Mining Scientist do?

A Data Mining Scientist analyzes large sets of data to discover patterns, trends, and insights that can help organizations make informed decisions. They use statistical methods, machine learning algorithms, and programming tools to extract useful information from complex data sources. Their work often involves data cleaning, feature selection, model building, and interpreting results for non-technical stakeholders. Data Mining Scientists are essential for turning raw data into actionable knowledge across many industries, including finance, healthcare, and marketing.

Is data mining a good career?

Data mining is a viable career as a Data Mining Scientist involves analyzing large datasets to extract useful patterns, often requiring skills in statistics, programming, and data visualization tools. The field offers opportunities in various industries such as technology, finance, and healthcare, with demand for professionals who can turn data into actionable insights.
More about Data Mining Scientist jobs
What job categories do people searching Data Mining Scientist jobs look for? The top searched job categories for Data Mining Scientist jobs are:
Data Mining Scientist jobs near you
Infographic showing various Data Mining Scientist job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Data Scientist with Security Clearance

Data Scientist with Security Clearance

Data Machines

Reston, VA • On-site

$90K - $150K/yr

Other

Posted 20 hours ago

Job description

Location: On-site in Reston, VA Salary Range: $90,000-$150,000 Job Description: Come join the future of data-driven decision making! At Data Machines we leverage data analytics, DevSecOps, machine intelligence, and data science to engineer solutions for our Federal government, defense, and commercial sponsors to solve real-world, critical mission problems. This position will be based out of our Reston, VA office with a 3 day a week onsite requirement. Responsibilities: Data Machines seeks an energetic data scientist with the desire to work with a tightly-knit team supporting the development and production of cutting-edge defense and intelligence capabilities. The ideal candidate will apply expert knowledge in statistical analysis, complex data mining, and artificial intelligence to make value out of data. They will provide consulting relating to the data mining and analysis of data from a range of sources to transform raw data into concise and actionable insights. The candidate will design and implement data-driven solutions, with specific focus on advanced analytical methods, data models, and visualizations. The ideal candidate will develop quantitative simulations and models to provide descriptive and predictive analytics solution recommendations. Finally, they will identify trends and problems through complex big data analysis and will maintain current in emerging tools and techniques in machine learning, statistical modeling, and analytics. Minimum Qualifications: * Four (4) years of relevant experience in applied research, big data analytics, statistics, applied mathematics, data science, computer science, operations research or other closely related field
* BS in software Engineering or at least 4 years of experience managing data science projects
* At least three (2) years of direct experience in machine learning Demonstrates knowledge of data mining methods, databases, data visualization and machine learning
* Ability to communicate analysis techniques, concepts, and products
* Ability to develop data-driven solutions, data models, and visualizations Data Bricks Certification
* Must be able to pass a background check and a drug screen
Education: * Advanced Degree (MS or PhD) in Statistics, Applied Mathematics, Data Science, Computer Science, Operations Research or other closely related quantitative or mathematical discipline
* Experience with open-source cloud tools (e.g. Docker, Kubernetes, OpenStack)
* Experience with public cloud (e.g. AWS, Azure) security
* Software Development Experience (any language)
* Ability to obtain a Secret clearance.

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