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Data Mining Scientist Jobs (NOW HIRING)

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:

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.

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.

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 is seeking a Data Scientist to unlock insights from complex data sets across ... data mining, or AI and ML techniques, including NLP • developing predictive data models ...

Data Scientists III develops and implements advanced analytical techniques and software ... Typical responsibilities include applying data mining, modeling, natural language processing, and ...

Conduct data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis, and uses scientific techniques to correlate data into graphical, written ...

Data Scientist III

San Diego, CA · On-site

$125K - $207K/yr

Data Scientists III develops and implements advanced analytical techniques and software ... Typical responsibilities include applying data mining, modeling, natural language processing, and ...

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Showing results 1-20

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 Jun 9, 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.

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.

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.
More about Data Mining Scientist jobs
Data Mining Analyst

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago


General Dynamics Information Technology rating

7.8

Company rating: 7.8 out of 10

Based on 62 frontline employees who took The Breakroom Quiz

70th of 203 rated it services


Job description

Type of Requisition:

Regular

Clearance Level Must Currently Possess:

Interim Secret

Clearance Level Must Be Able to Obtain:

Top Secret

Public Trust/Other Required:

SSBI (T5)

Job Family:

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:

Yes

Job Description:

DATA MINING ANALYST
Own your opportunity to turn data into measurable outcomes for our customers' most complex challenges. As a Data Mining Analyst at GDIT, you'll power innovation to drive mission impact and grow your expertise to power your career forward.
MEANINGFUL WORK AND PERSONAL IMPACT
This project requires the collection and reporting of data to produce leads for actionable investigative reports predicated upon data research of government and commercial data systems to verify status of potential status violators. The reports produced are automated and disseminated to the government client. We perform data entry from multiple client systems, other intelligence sources, and law enforcement databases and generate an analysis of the collected information. This requires Investigative Research Analysts to input collected information into a database and produce summary products in support of Homeland Security Law Enforcement.

Responsibilities:

The Data Mining Analyst's primary task will be to act as a liaison between the Government client and the technical staff to provide accurate and timely reporting of statistics. Required to conduct statistical analysis on data and information to ensure correct predictive forecasting or classification. Manages all aspects of end-to-end data processing utilizing customized report building functions of systems. The Analyst will also be responsible for understanding the process of building reports (leads).

  • Evaluate the database needs of our applications and optimize them using MongoDB & Python
  • Research, develop, and test queries using Mongo & Python data analytic tools
  • Analyze, query, and extract data from Mongo & Python databases as part of client adhoc requests
  • Understanding of Big Data tools (e.g. MongoDB, Python, JavaScript, NoSQL, PowerBI)
  • Conducting trend analysis
  • Evaluating statistical methods and advanced technical research techniques to develop strategies based on client requirements
  • Analyzing data integrity and consistency to obtain a quantitative basis for decision making and resource allocation
  • Developing strategies to exploit the various internal and external data sources to refine the intelligence analysis process
  • Providing written reports as required
  • Proficiency in MS Access and Excel
  • Assimilating, integrating, and interfacing technical knowledge with business / systems requirements
  • Create high-level reports for client and upper levels of DHS
  • Monitoring report requests and providing end-user support to internal and external client
  • Completing quality projects timely and accurately
  • Analyzing current and potential systems for conversions
  • Conduct analytical research in support of assigned Criminal Investigative Mission

Qualifications:

Required Minimum Education/Experience:Bachelor's Degree or higher in any discipline with two (2) or more years of related experience in analysis of bulk data sets to include entry and extraction of target data, statistical analyses, and reporting. Must possess a core understanding and experience in navigating and writing queries using one or more of the following coding languages: JSON, SQL, Python, and/or JavaScript to extract data out of a NoSQL (not only SQL) database. Experience in big data sets with a strong understanding of coding principles, methodologies, and best practices.

Theideal candidate has a strong understanding of MongoDB & Python with a strong understanding of coding principles, methodologies, and best practices, as well as working in the backend of various databases, a team player who is a quick learner, asks questions, takes initiative, and produces accurate work. They are proactive, learn and understand the customer's SOPs and complete tasks with no errors. This is a fast-paced environment; successful analysts have excellent time management skills and work well under pressure.

Hours:M-F, generally 8 hour workday aligned with core hours of 8 AM to 4 PM, though will depend on mission requirements. Hours could float between 6 AM - 10 PMdepending on unit requirements


GDIT IS YOUR PLACE
At GDIT, the mission is our purpose, and our people are at the center of everything we do.
Growth: AI-powered career tool that identifies career steps and learning opportunities
Support: An internal mobility team focused on helping you achieve your career goals
Rewards: Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid time off
Community: Award-winning culture of innovation and a military-friendly workplace
OWN YOUR OPPORTUNITY
Explore a career in data science and engineering at GDIT and you'll find endless opportunities to grow alongside colleagues who share your determination for solving complex data challenges.

The likely salary range for this position is $70,658 - $81,650. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.

Scheduled Weekly Hours:

40

Travel Required:

None

Telecommuting Options:

Onsite

Work Location:

USA VA Vienna

Additional Work Locations:

Total Rewards at GDIT:

Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.We are GDIT. A global technology and professional services company that delivers consulting, technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50 countries worldwide, offering leading capabilities in digital modernization, AI/ML, Cloud, Cyber and application development. Together with our clients, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology.Join our Talent Community to stay up to date on our career opportunities and events at

gdit.com/tc.

Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

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About General Dynamics Information Technology

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GDIT is a global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense, and intelligence community. Its 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. The company operates across 50+ countries worldwide, offering leading capabilities in digital modernization, AI/ML, cloud, cyber, and application development.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Falls Church, VA, US