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Web Data Mining Expert Jobs (NOW HIRING)

Comfort working at consumer-internet data scale. Nice to have * Background at Google Search / Ads quality, Meta, TikTok, Pinterest, DoorDash, Instacart, Amazon Search/Alexa, or Apple. * Built a user ...

As part of the Data Mining Group team, your role will require in-depth technical expertise in ... Minimum of five years' expert experience with Microsoft SQL. * Experience with medical and pharmacy ...

As part of the Data Mining Group team, your role will require in-depth technical expertise in ... Minimum of five years' expert experience with Microsoft SQL. * Experience with medical and pharmacy ...

... Web analytics, Data mining techniques application for large data • The key personnel shall also demonstrate experience using advanced analytic techniques such as modern econometric methods ...

... Web analytics, Data mining techniques application for large data. • The key personnel shall also demonstrate experience using advanced analytic techniques such as modern econometric methods ...

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Web Data Mining Expert information

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$37.5K

$95K

How much do web data mining expert jobs pay per year?

As of Sep 13, 2026, the average yearly pay for web data mining expert in the United States is $91,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,000.00 and $94,500.00 per year, depending on experience, location, and employer.

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Infographic showing various Web Data Mining Expert job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $91,584 per year, or $44 per hour.

Data Scientist - Louisville, CO

Louisville, CO • On-site

Georgia IT, Inc.
IT Services • 51 - 200 employees

Full-time

Posted 27 days ago


Job description

Job Summary:
Georgia IT, Inc. is a company seeking a Data Scientist to provide technical direction and guidance based on data science and analysis of web traffic. The role involves collaborating with various teams to create algorithmic solutions, develop models to detect trends, and implement adaptive techniques using machine learning.
Responsibilities:
• Provides technical direction and guidance based on data science and analysis of web traffic and web data.
• Collaborate with Engineering, the AI/Client team, the Malicious Detection team, Product Management and Executive Leadership Team to create algorithmic and data-driven solutions, as well as establishing current and long-term business, technical and product strategy.
• Develop models using statistical analysis and data mining to detect trends, similarities, patterns and collaboration with engineers to create dashboards and heat maps for visualization of data.
• Success in creating monetization strategies and offerings based on economic analysis of data assets and data science strategies.
• Measuring, experimenting and tuning systems and algorithms as well as implementing adaptive techniques based on machine learning and data mining.
• Determination of weighted reputation and trustworthy scoring systems based on data mining and analysis.
• Proven experience in identify relevant algorithms and processes for data-driven solutions; and provide design input to engineering to code those identified to produce actionable results.
• Experience creating and proving predictive model prototypes and working with with data engineers to put them into production.
• Have experience with interacting, administering, or working with : Hadoop, Hive, Spark, MapReduce, and cluster computing with Amazon Web Services, Open Source Software, and Linux.
Qualifications:
Required:
• US Citizen, Green Card and GC EAD Only.
• NO Visa Sponsorship (H1B Transfer) or no Corp. to Corp no 1099.
• Provides technical direction and guidance based on data science and analysis of web traffic and web data.
• Extract large and complex web datasets while thinking strategically about uses of data and how data use interacts with data design.
• Collaborate with Engineering, the AI/Client team, the Malicious Detection team, Product Management and Executive Leadership Team to create algorithmic and data-driven solutions.
• Establish current and long-term business, technical and product strategy.
• Develop models using statistical analysis and data mining to detect trends, similarities, patterns.
• Collaborate with engineers to create dashboards and heat maps for visualization of data.
• Success in creating monetization strategies and offerings based on economic analysis of data assets and data science strategies.
• Measuring, experimenting and tuning systems and algorithms.
• Implement adaptive techniques based on machine learning and data mining.
• Determine weighted reputation and trustworthy scoring systems based on data mining and analysis.
• Proven experience in identifying relevant algorithms and processes for data-driven solutions.
• Provide design input to engineering to code those identified to produce actionable results.
• Experience creating and proving predictive model prototypes.
• Work with data engineers to put predictive models into production.
• Have experience with interacting, administering, or working with: Hadoop, Hive, Spark, MapReduce, and cluster computing with Amazon Web Services, Open Source Software, and Linux.
Company:
Georgia IT, Inc. provides IT Consulting for a wide range of IT services and custom build turn-key enterprise solutions. Founded in 2007, the company is headquartered in Alpharetta, USA, with a team of 51-200 employees. The company is currently Growth Stage.

Georgia IT logo

About Georgia IT

Sourced by ZipRecruiter

A PROFESSIONAL SERVICES ORGANIZATION WITH A VISION OF DELIVERING SIMPLE AFFORDABLE, SUSTAINABLE SOLUTIONS FOR COMPLEX PROBLEMS WITH INTEGRITY. OUR GOAL IS TO ACHIEVE ALL THIS IN A COLLABRATIVE APPROACH WITH ALL PARTIES INVOLVED IN DELIVERING SOLUTIONS/PRODUCTS.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Alpharetta, GA, US

Year founded

2007

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