ZipRecruiter

Log In

1

Data Mining Scientist Jobs (NOW HIRING)

CELESTAR

Data Scientist- Senior

Washington, DC · On-site

$175K - $180K/yr

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

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 ...

Nalley Consulting

Data Scientist - Mid

Reston, VA · On-site

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

Elder Research

Data Scientist (Remote)

Arlington, VA · On-site +1

Data Scientist Workplace: Washington DC Metro Area - Remote (candidates MUST BE located in the ... Provide consulting relating to the data mining and analysis of data from a range of sources to ...

Mayvin

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 ...

Mayvin, Inc

Data Scientist III

San Diego, CA · On-site

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

STEMtech

Data Scientist

Atlanta, GA · On-site

We are looking for a data scientist that will help us discover the information hidden in vast ... Your primary focus will be in applying data mining techniques, doing statistical analysis, and ...

Elder Research

Data Scientist (Remote)

Arlington, VA · On-site +1

Data Scientist Workplace: Washington DC Metro Area - Remote (candidates MUST BE located in the ... Provide consulting relating to the data mining and analysis of data from a range of sources to ...

Weil Group, Inc

Sr Data Scientist

Juncos, PR · On-site

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

STEMtech

Data Scientist

Atlanta, GA · On-site

Your primary focus will be in applying data mining techniques, doing statistical analysis, and ... Experience with common data science toolkits, such as R, Weka, NumPy, MatLab, etc. Excellence in at ...

Bigbear.ai

Data Scientist, Lead

Washington, DC · On-site

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 ...

Bridge Defense

Data Scientist

Washington, DC · On-site

$120K - $135K/yr

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

Weil Group, Inc.

Sr Data Scientist

Juncos, PR · On-site +1

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

Gormat

Data Scientist 2

Annapolis Junction, MD · On-site

The focus of this position will be on rapid prototyping and data mining. The Level 2 Data Scientist shall possess the following capabilities: * Foundations: (Mathematical, Computational, Statistical)

BigBear.ai

Data Scientist, Lead

Washington, DC · On-site

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 ...

Honeywell

Data Scientist II

Pittsford, NY · On-site

As an Advanced Data Scientist, you will be responsible for data engineering, leveraging closed and ... Some exposure with application of data mining algorithms and statistical modeling techniques such ...

Bigbear.ai

Sr. Data Scientist

Washington, DC · On-site

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 ...

previous pagenext page

Showing results 21-40

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- Senior

Data Scientist- Senior

CELESTAR

Washington, DC • On-site

$175K - $180K/yr

Full-time

Medical, Dental, Life, Retirement, PTO

Posted 7 days ago

Job description

Celestar Corporation is currently seeking a Senior Data Scientist seated in the National Capital Region. If interested and qualified, we welcome you to apply for this challenging opportunity.
LOCATION: National Capital Region (NCR)
CLEARANCE REQUIREMENT: Active TS/SCI with In-Scope Counterintelligence Polygraph
Salary: $175,000 - $180,000
About Us:
Celestar, a Veteran-Owned Company, is Very Competitive with Salaries and Benefits. For example, we offer Company-Paid Benefits that include Employee and Family Dental Insurance, Employee Health Insurance, Life Insurance, and Disability Insurance. We also offer a 401 (k) retirement plan company match, paid Holidays, and Personal Time off.
Responsibilities:
  • Conducts data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis, and uses scientific techniques to correlate data into graphical, written, visual, and verbal narrative products, enabling more informed analytic decisions.
  • Proactively retrieves information from various sources, analyzes it to better understand the dataset, and builds Artificial Intelligence (AI) tools that automate certain processes.
  • Duties typically include: creating various Machine Learning (ML)-based tools or processes, such as recommendation engines or automated lead scoring systems.
  • Performs statistical analysis, applies data mining techniques, and builds high-quality prediction systems.
  • Should be skilled in data visualization and use of graphical applications, including Microsoft Office (Power BI) and Tableau.
  • Major data science languages, such as R and Python.
  • Managing and merging of disparate data sources, preferably through R, Python, or SQL, statistical analysis, and data mining algorithms.
  • Should have prior experience with large data, Multi-INT analytics, ML, and automated predictive analytics.
  • Provide senior-level enterprise support through data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis, and use scientific techniques to correlate data into graphical, written, visual, and verbal narrative products, enabling more informed analytic decisions for multiple cover databases and applications in support of the defense cover program.

Required Experience: Minimum of 12 years of experience related to the specific labor category, with at least a portion of the experience within the last 2 years.
Education: Master's Degree with 12 years of experience, or a bachelor's degree with an additional 5 years of related experience (total of 17 years) instead of a master's degree.
Come on board with a company that values its Employees!
Celestar is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, protected veteran status, disability status, gender identity, or national origin.

Apply