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Independent Contractor Data Mining Jobs (NOW HIRING)

Use data mining and machine learning techniques to develop robust models in areas such as ... Ability to work independently in a fast-paced, iterative development environment. * Exemplary ...

$100K - $105K/yr

Support mine planning, reconciliation, surveying, mapping, and geological data collection ... Supervise interns, technicians, and contractors as needed. * Promote safety leadership and ensure ...

Neurologist Independent Contractor

Hapeville, GA · On-site

$308K - $384K/yr

... 1099 independent contractor. This role is a contract position and is meant to compliment your ... Must have Medical Malpractice Insurance which will cover you while on site Additional Data ...

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Independent Contractor Data Mining information

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$51K

$70K

$89K

How much do independent contractor data mining jobs pay per year?

As of Jun 7, 2026, the average yearly pay for independent contractor data mining in the United States is $69,999.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,000.00 and $85,000.00 per year, depending on experience, location, and employer.

What is the difference between Independent Contractor Data Mining vs Data Analyst?

AspectIndependent Contractor Data MiningData Analyst
CredentialsOften self-taught or certifications in data mining toolsBachelor's or higher in data science, statistics, or related fields
Work EnvironmentFreelance, remote, project-basedFull-time, corporate or agency setting, often office-based
Employer & Industry UsageClients across various industries, project-specificOrganizations seeking ongoing data insights
Search & Comparison IntentFreelance data mining roles, independent data mining jobsData analysis careers, data analyst job roles

While both roles involve working with data, Independent Contractor Data Mining focuses on freelance, project-based work primarily in data extraction and mining. Data Analysts typically work in more structured environments, analyzing data to inform business decisions. The key differences lie in work setup, credentials, and industry usage.

What cities are hiring for Independent Contractor Data Mining jobs? Cities with the most Independent Contractor Data Mining job openings:
What are the most commonly searched types of Data Mining jobs? The most popular types of Data Mining jobs are:
What states have the most Independent Contractor Data Mining jobs? States with the most job openings for Independent Contractor Data Mining jobs include:
Infographic showing various Independent Contractor Data Mining job openings in the United States as of May 2026, with employment types broken down into 76% Full Time, 17% Part Time, and 7% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $69,999 per year, or $33.7 per hour.

Data Scientist - Tech - Top Secret required to apply - DC area

Bow Wave LLC

Reston, VA • On-site

$165K - $175K/yr

Full-time

Posted 5 days ago


Job description

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 for better understanding about
the data set, and builds AI tools that automate certain processes. Duties typically include:
creating various 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.
Contractor shall:
• Create data packages, in the form of databases, reports, and visualization'
• Communicate ongoing data science activities, technical findings, and data products for both
technical and non-technical customers
• Extract relevant features from large data stores containing open source, PIA, and CAI,
containing bad records, partial records, errors, or other forms of "noising."
• Extract features from open source information stored in a wide range of possible formats,
including JSON, XML, raw text logs, industry-specific encodings, and graph link data;
• Apply natural language processing, computer vision, signal processing, and speaker and speech
recognition algorithms to identify objects in text, image, video, and audio files;
• Apply descriptive and inferential statistics to describe data and make
predictions about the data, including statistical tests to determine confidence for a hypothesis,
common summary statistics (e.g. mean, variance, and counts), fit distributions to datasets and
use those distributions to predict event likelihoods;
• Be able to execute data science method using parallel computing
frameworks (e.g. deepleaming4j, Torch, Tensor Flow, Caffe, Neon, NVIOFFICE CUDA Deep
Neural Network library (cuDNN), and OpenCV)) and distributed data processing frameworks
( e.g. Hadoop (including HDFS, Hbase, Hive, Impala, Giraph, Sqoop ), Spark (inlcuding MLib,
GraphX, SQL and Dataframes)
• Be able to execute data science method using common programming/scripting
languages: Python, Java, Scala, R (statistics).