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Data Mining Salary Jobs (NOW HIRING)

Diverse Lynx

Data Mining Manager

Sunrise, FL · On-site

Data mining Salary: 90K - 125K/Year Roles and Responsibilities: Experience Required - 8+ Years We are looking for a Data Mining developer with strong analytical skills to work on large, complex ...

Machinify

DMG Data Mining Analyst II

$90K - $140K/yr

As part of the Data Mining Group team, your role will require in-depth technical expertise in ... Competitive salary, 401(k) with company match * Additional health and wellness benefits and perks

Motional

Senior Machine Learning Engineer, Data Mining

$125K - $165K/yr

Omnitag, our ML-powered multimodal data mining framework, is the engine that powers this discovery ... The salary range for this role is an estimate based on a wide range of compensation factors ...

CELESTAR

Data Scientist- Senior

Washington, DC · On-site

$175K - $180K/yr

Active TS/SCI with In-Scope Counterintelligence Polygraph Salary: $175,000 - $180,000 About Us ... Conducts data analytics, data engineering, data mining, exploratory analysis, predictive analysis ...

Jobsbridge

Senior Big Data Software Engineer

Cupertino, CA

$68.75 - $91/hr

Skill Agile, Civil, Database, Data Mining, Developer, Development, Java, Lifecycle, Linux, Management, MyS Location Cupertino, CA Total Experience 6 yrs. Max Salary Not Mentioned Employment Type ...

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How much do data mining salary jobs pay per year?

As of Jul 2, 2026, the average yearly pay for data mining salary 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 Data Mining Salary vs Data Analyst Salary?

AspectData Mining SalaryData Analyst Salary
Required CredentialsBachelor's or higher in CS, Data Science, or related fields; knowledge of SQL, Python, RBachelor's in Statistics, Business, or related fields; proficiency in Excel, SQL, and visualization tools
Work EnvironmentData science teams, research labs, tech companiesBusiness departments, consulting firms, finance, marketing
Employer & Industry UsageTech, e-commerce, finance, healthcareRetail, finance, healthcare, government

While both roles involve data analysis, Data Mining specialists focus on extracting patterns from large datasets using advanced algorithms, often requiring programming skills. Data Analysts interpret data to inform business decisions, typically using visualization and reporting tools. Salaries vary based on experience, location, and industry, but generally, Data Mining roles tend to offer higher compensation due to technical complexity.

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What job categories do people searching Data Mining Salary jobs look for? The top searched job categories for Data Mining Salary jobs are:
Data Mining Salary jobs near you
Data Mining Manager

Data Mining Manager

Diverse Lynx

Sunrise, FL • On-site

Other

Posted 29 days ago

Job description

Job Title: Data Mining Manager
Location: Sunrise, FL
Duration: Fulltime
Skills : Data mining
Salary: 90K - 125K/Year
Roles and Responsibilities:
Experience Required - 8+ Years
We are looking for a Data Mining developer with strong analytical skills to work on large, complex datasets and uncover actionable business insights. The role involves applying data mining, statistical, and machine learning techniques to solve real-world business problems, particularly in Banking, Financial Services, and Insurance (BFSI) domains.
Must Have Technical/Functional Skills
  • nalyze large structured and semi-structured datasets to identify patterns, trends, and relationships.
  • pply data mining techniques such as clustering, classification, association rules, and anomaly detection.
  • Build and validate analytical and predictive models to support business decision-making.
  • Perform data preparation activities including data cleaning, transformation, and feature engineering.
  • Collaborate with business stakeholders to translate business problems into analytical use cases.
  • Work closely with data engineering and data science teams to operationalize insights.
  • Develop dashboards, reports, and presentations to communicate insights effectively.
  • Ensure data quality, governance, and compliance with enterprise and regulatory standards.
  • Explore and apply AI/ML techniques to enhance analytical insights where applicable.
Roles & Responsibilities
  • Strong experience in data mining and statistical analysis on large datasets.
  • Proficiency in SQL for data extraction and analysis.
  • Hands-on experience with Python and/or R for data analysis and modeling.
  • Knowledge of data mining and ML algorithms (e.g., decision trees, random forest, regression, clustering).
  • Experience with data visualization tools (Power BI, Tableau, or similar).
  • Strong analytical thinking and problem-solving skills.
  • bility to work with large datasets in enterprise environments.

Preferred / Good-to-Have Skills
  • Experience in BFSI domain (banking, cards, risk, fraud, customer analytics).
  • Exposure to Big Data technologies (Spark, Hadoop).
  • Experience with AI-driven analytics or GenAI-based insight generation.
  • Familiarity with cloud platforms (GCP).
  • Understanding of data governance, privacy, and regulatory requirements.

Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.
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About Diverse Lynx

Sourced by ZipRecruiter

Diverse Lynx, based in Princeton, NJ, US, is a reputable company in the Information Technology sector. The firm, as reflected through its website diverselynx.com, specializes in delivering comprehensive IT solutions. These solutions range from IT consulting to robust digital transformation strategies, IT staffing, and full-time placements services. The company was established in 2008, and it prides itself on providing simplified, efficient technology solutions designed to meet the unique needs of each client.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Princeton, NJ, US

Year founded

2002

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