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Mining Data Analytics Jobs in Hanover, MD (NOW HIRING)

GRVTY

Data Scientist 3

Annapolis Junction, MD · On-site

... analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data mining, data modeling and ...

GRVTY

Data Scientist 2

Annapolis Junction, MD · On-site

... analysis (e.g., variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g., data cleaning and transformation), data mining, data modeling ...

CPMC LLC

Data Scientist (Secret)

Washington, DC · On-site

Apply data mining, data modeling, natural language processing, and machine learning to analyze information from large structured and unstructured datasets. * Visualize, interpret, and report data ...

Noblis

Systems Programmer

Washington, DC · On-site

Develop dashboards, data visualizations, and analytics tools to support FAA decision-making and program reporting. * Conduct text mining, data extraction, and data integration to support technical ...

Noblis

Systems Programmer

Washington, DC · On-site

Develop dashboards, data visualizations, and analytics tools to support FAA decision-making and program reporting. * Conduct text mining, data extraction, and data integration to support technical ...

iNovex Information Systems

Data Scientist 3

Annapolis, MD · On-site

$161K - $211K/yr

... analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data mining, data modeling and ...

Peraton

Data Scientist 1 - TS/SCI w/poly

Laurel, MD · On-site

$146K - $234K/yr

Responsibilities The Data Scientist will develop machine learning, data mining, statistical and graph-based algorithms to analyze and make sense of datasets; prototype or consider several algorithms ...

GRVTY

Data Scientist 2

Annapolis Junction, MD · On-site

... analysis (e.g., variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g., data cleaning and transformation), data mining, data modeling ...

Peraton

Data Scientist 1 - TS/SCI w/poly

Laurel, MD

$146K - $234K/yr

Responsibilities The Data Scientist will develop machine learning, data mining, statistical and graph-based algorithms to analyze and make sense of datasets; prototype or consider several algorithms ...

Peraton

Data Scientist 1 - TS/SCI w/poly

Laurel, MD · On-site

$146 - $234/hr

Responsibilities The Data Scientist will develop machine learning, data mining, statistical and graph-based algorithms to analyze and make sense of datasets; prototype or consider several algorithms ...

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Showing results 21-40

All JobsMining Data Analytics JobsMining Data Analytics Jobs in Hanover, MD

Mining Data Analytics information

See Hanover, MD salary details

$50.7K

$69.6K

$88.6K

How much do mining data analytics jobs pay per year?

As of Aug 22, 2026, the average yearly pay for mining data analytics in Hanover, MD is $69,649.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,700.00 and $84,600.00 per year, depending on experience, location, and employer.

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

AspectMining Data AnalyticsData Analyst
Required CredentialsBachelor's in Data Science, Mining Engineering, or related fields; certifications in data analytics or mining softwareBachelor's in Statistics, Data Science, or related fields; certifications in data analysis tools
Work EnvironmentMining sites, data centers, or corporate offices; focus on mineral extraction dataOffice settings, corporate or consulting firms; focus on business data
Employer & Industry UsageMining companies, resource extraction industriesVarious industries including finance, healthcare, retail

Mining Data Analytics and Data Analysts both analyze data, but Mining Data Analytics specializes in mineral extraction data within the mining industry, often requiring industry-specific knowledge and certifications. Data Analysts have a broader scope across multiple industries, focusing on business insights. While both roles involve data interpretation, their environments and applications differ significantly.

What are popular job titles related to Mining Data Analytics jobs in Hanover, MD?

For Mining Data Analytics jobs in Hanover, MD, the most frequently searched job titles are:

What job categories do people searching Mining Data Analytics jobs in Hanover, MD look for?

The top searched job categories for Mining Data Analytics jobs in Hanover, MD are:

What cities near Hanover, MD are hiring for Mining Data Analytics jobs?

Cities near Hanover, MD with the most Mining Data Analytics job openings:

Mining Data Analytics jobs near you
Infographic showing various Mining Data Analytics job openings in Hanover, MD as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $69,649 per year, or $33.5 per hour.

Data Scientist II with Security Clearance

Black Eagle Defense

Fort George G Meade, MD • On-site

$65K - $125K/yr

Other

Re-posted 2 days ago

Job description

Job Description SALARY RANGE $65,000 - $125,000/year DUTIES As a successful candidate for the Data Scientist II role, you will devise strategies for extracting meaning and value from large datasets. Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application-specific knowledge. Through analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique features and limitations inherent in NSA/CSS data holdings. Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data. Effectively communicate complex technical information to non-technical audiences. Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly shifting NSA/CSS collection, processing, storage, and analytic capabilities and limitations. Required Skills QUALIFICATIONS A Bachelor's Degree with 3 years of relevant experience, Associates degree with 5 years of experience may be considered for individuals with in-depth experience that is clearly related to the position is required. Bachelor's Degree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science or a degree in a related field (Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g. physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e. behavioral, social, or life) may be considered if it included a concentration of coursework (5 or more courses) in advanced Mathematics (typically 300 level or higher, such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g. algorithms, programming, data structures, data mining, artificial intelligence). College-level requirements, or upper-level math courses designated as elementary or basic do not count. A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university. Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g. Python), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering. Experience in more than one area is strongly preferred.

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