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Data Mining Scientist Jobs (NOW HIRING)

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.

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.

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 ...

Data Scientist

Sunnyvale, CA · On-site

$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 ...

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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 Sep 8, 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 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.

What are the key skills and qualifications needed to thrive as a data mining scientist?

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 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 data mining a good career?

Data mining is a valuable career as a Data Mining Scientist involves analyzing large datasets to extract useful insights, often using tools like SQL, Python, or R. The field offers strong job growth, competitive salaries, and opportunities across industries such as technology, finance, and healthcare.
More about Data Mining Scientist jobs

What are popular job titles related to Data Mining Scientist jobs?

For Data Mining Scientist jobs, the most frequently searched job titles are:

Infographic showing various Data Mining Scientist job openings in the United States as of September 2026, with employment types broken down into 89% Full Time, and 11% Contract. Highlights an 100% In-person job distribution, with an average salary of $122,738 per year, or $59 per hour.

Mid-Level Computer Scientist/ Data Scientist

Weeghman and Briggs

Huntsville, AL

Full-time

Posted 3 days ago

New


Job description

Mid-Level Computer Scientist/Data Scientist

Location: Huntsville, AL | Onsite Clearance Required: Minimum TS Clearence Employment Type: Full-Time

Join a Growing Team at Weeghman & Briggs

Weeghman & Briggs is seeking a motivated and mission-driven Mid-Level Computer Scientist/Data Scientist to support critical government initiatives in Huntsville, AL.

Founded in 2016 by Anthony Jordan, Weeghman & Briggs specializes in delivering high-impact analytical services to Government Agencies and private organizations. Since our founding, we have partnered with a range of federal entities and private corporations, earning a strong reputation as a trusted, results-driven company with an exceptional team of professionals.

As we continue to expand across current programs and upcoming contract awards, we are looking for talented individuals who want to contribute, grow, and build something meaningful alongside us.

At Weeghman & Briggs, you're more than a number, you're part of the team. We've built a culture where your opinion matters, your voice is heard, and your contributions make a direct impact on mission success. Our growth creates opportunity for advancement, leadership visibility, and long-term career development while maintaining the supportive, close-knit environment that sets us apart.

If you're ready to grow your career while supporting important national missions, we'd love to connect with you.

What You'll Do

  • Support mission-critical programs in secure government environments
  • Analyze requirements and translate them into actionable solutions
  • Collaborate with cross-functional teams to deliver high-quality results
  • Ensure compliance with contract and security standards
  • Contribute ideas to improve processes, efficiency, and performance
  • Applies mathematics, statistics, information science, AI/ML, probability modeling, data mining and scientific computing to technical intelligence problems; develops predictive and data-driven methods.

What You Bring

  • Experience supporting government or DoD programs
  • Ability to work independently and within a collaborative team environment
  • Strong written and verbal communication skills
  • Strong Knowledge of Python/R, statistics; ML, probability, data mining, scientific computing, and data analysis
  • Minimum 8 years of experience with a Bachelor's degree related to the labor category

Preferred Qualifications

  • Experience supporting MSIC and DIA programs
  • Agile, cloud, or modernization experience
  • Background in process improvement or analytical services
  • Experience with Weapons T&E; intelligence analytics; simulation; visualization; HPC

Compensation & Benefits

At Weeghman & Briggs, we believe our people are our greatest strength. We offer a competitive benefits package designed to support you both professionally and personally.

Learn more about our comprehensive benefits here: https://weeghmanandbriggs.com/summary-of-employee-benefits/

Equal Employment Opportunity

Weeghman & Briggs is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment regardless of race, color, religion, sex, national origin, disability, veteran status, or any other characteristic protected by federal, state, or local laws.