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

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 ...

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 ...

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 ...

Senior Data Scientist

Washington, DC · On-site

$99K - $225K/yr

... analytics and AI/ML models, particularly tools leveraging LLMs or agentic AI, including data ... mining, data engineering, or data warehousing, or 12+ years of experience with scientific ...

... 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 ...

Showing results 41-60

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:

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 1 - TS/SCI w/poly

Peraton

Laurel, MD

$146K - $234K/yr

Full-time

PTO

Re-posted 22 hours ago


Peraton rating

8.3

Company rating: 8.3 out of 10

Based on 56 frontline employees who took The Breakroom Quiz

52nd of 225 rated it services


Job description

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 and decide upon final model based on suitable performance metrics; build models or develop experiments to generate data when training or example datasets are unavailable; generate reports and visualizations that summarize datasets and provide data-driven insights to customers; partner with subject matter experts to translate manual data analysis into automated analytics; implement prototype algorithms within production frameworks for integration into analyst workflows.

Other duties may include:

  • Oversee one or more software development teams and ensure the work is completed in accordance with the constraints of the software development process being used on any project.
  • Produce data visualizations that provide insight into dataset structure and meaning.
  • Work with subject matters experts (SMEs) to identify important information in raw data and develop scripts that extract this information from a variety of data formats (e.g., SQL tables, structured metadata, network logs).
  • Incorporate SME input into feature vectors suitable for analytic development and testing.
  • Develop Al and machine learning models to address complex problems.
  • Develop and optimize Large Language Models (LLM) for various NLP tasks and information retrieval.
  • Develop and implement statistical, machine learning, and heuristic techniques to create descriptive, predictive, and prescriptive analytics.
  • Develop statistical tests to make data-driven recommendations and decisions.
  • Develop experiments to collect data or models to simulate data when required data are unavailable.
  • Develop feature vectors for input into machine learning algorithms.
  • Identify the most appropriate algorithm for a given dataset and tune input and model parameters.
  • Evaluate and validate the performance of analytics using standard techniques and metrics (e.g. cross validation, ROC curves, confusion matrices).
  • Oversee the development of individual analytic efforts and guide team in analytic development process. 

 

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Qualifications

Basic Qualifications:

  • Bachelor's degree from an accredited college or university in quantitative discipline (e.g., statistics, mathematics, operations research, engineering, or computer science) and five (5) years of experience analyzing datasets and developing analytics using data analysis software such as R, Python, SAS, or MATLAB.
    • An additional four (4) years of experience in software development, cloud development, analyzing datasets, or developing descriptive, predictive, and prescriptive analytics can be substituted for a Bachelor's degree.
    • A Master's degree in an accredited college or university can be substituted for two (2) years of experience. A PhD from an accredited college or university in a quantitative discipline can be substituted for four (4) years of experience.
  • Experience with utilizing GPU-based computing resources to accelerate model training and deployment.
  • Active TS/SCI security clearance with a current polygraph is required

Desired Qualifications:

  • Expereince in one of the following: 
    • Designing/implementing machine learning, data science, and advanced analytical algorithms capabilities developed in at least one high-level programming 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.

Benefits: Peraton offers enhanced benefits to employees supporting this critical National Security program, which include heavily subsidized employee benefits coverage for you and your dependents, 25 days of PTO accrued annually up to a generous PTO cap, and eligibility to participate in an attractive bonus plan.

Peraton Overview

Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world's leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can't be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we're keeping people around the world safe and secure.

Target Salary Range$146,000 - $234,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual's experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.EEOEEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.Employment Type: FULL_TIME

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About Peraton

Sourced by ZipRecruiter

At Peraton, we re at the forefront of delivering the next big thing every day. We re the partner of choice to help solve some of the world s most daunting challenges, delivering bold, new solutions to keep people around the world safer and more secure.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Herndon, VA, US

Year founded

2017