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

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 ...

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 ...

iNovex Information Systems

Data Scientist 2

Annapolis, MD · On-site

$122K - $168K/yr

You will triage the development of large language datasets and develop tools and techniques for analysis. The focus of this position will be on rapid prototyping and data mining. The Level 2 Data ...

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 ...

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

Mining Data Analytics information

See Baltimore, MD salary details

$50.7K

$69.6K

$88.4K

How much do mining data analytics jobs pay per year?

As of Aug 22, 2026, the average yearly pay for mining data analytics in Baltimore, MD is $69,554.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,600.00 and $84,500.00 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.

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

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Mining Data Analytics jobs near you

Data Scientist 2

GRVTY

Annapolis Junction, MD • On-site

Full-time

Re-posted 9 days ago

Job description

Job Summary:
GRVTY is actively searching for Data Scientists located in Maryland to support their team. The role requires expertise in AI/ML, proficiency in Python, and experience with deep learning frameworks, focusing on extracting value from large datasets and effectively communicating technical information.
Responsibilities:
• Foundations: (Mathematical, Computational, Statistical) 2. Data Processing: (Data management and curation, data description and visualization, workflow, and reproducibility)
• Modeling, Inference, and Prediction: (Data modeling and assessment, domain-specific considerations)
• 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.
Qualifications:
Required:
• Bachelor’s Degree with 3 years of relevant experience or an Associates degree with 5 years of relevant experience
• 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. Note: 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.
• Active TS/SCI with a polygraph
Preferred:
• Experience in more than one area of relevant experience is strongly preferred.
• Cyber knowledge is an added advantage.
Company:
GRVTY is a defense technology company that provides software and data solutions for defense sectors. Founded in 2024, the company is headquartered in Arlington, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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