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Manager Data Mining Jobs (NOW HIRING)

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 ...

Data Mining Engineer / Manager Experience: 8+ Years Role Overview We are seeking a data-driven and analytical Data Mining Engineer/Manager to unlock insights from complex, large-scale datasets. In ...

Data Mining Engineer / Manager Experience: 8+ Years Role Overview We are seeking a data-driven and analytical Data Mining Engineer/Manager to unlock insights from complex, large-scale datasets. In ...

As part of the Data Mining Group team, your role will require in-depth technical expertise in ... Lead and manage small data projects, ensuring timely and successful delivery. * Work closely with ...

Data Scientist

Dallas, TX · On-site

$85K - $130K/yr

The Data Scientist Consultant (DSC) actively pursues new business opportunities for consulting engagements focusing on casualty and absence management data mining and predictive modeling projects.

Data Scientist

Chicago, IL · On-site

$90K - $130K/yr

The Data Scientist Consultant (DSC) actively pursues new business opportunities for consulting engagements focusing on casualty and absence management data mining and predictive modeling projects.

Job Posting The Data Scientist Consultant (DSC) actively pursues new business opportunities for consulting engagements focusing on casualty and absence management data mining and predictive modeling ...

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Manager Data Mining information

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$31K

$97.1K

$172K

How much do manager data mining jobs pay per year?

As of May 28, 2026, the average yearly pay for manager data mining in the United States is $97,145.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,000.00 and $125,500.00 per year, depending on experience, location, and employer.

What is the difference between Manager Data Mining vs Data Analyst?

AspectManager Data MiningData Analyst
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related field; experience in data mining and team managementBachelor's degree in Statistics, Data Science, or related field; proficiency in data analysis tools
Work EnvironmentLeads data mining teams, collaborates with multiple departments, oversees projectsAnalyzes data sets, prepares reports, supports decision-making
Employer & Industry UsageUsed in tech, finance, healthcare industries for strategic insightsCommon across various industries for operational analysis

The main difference is that a Manager Data Mining oversees data mining projects and teams, focusing on strategic implementation, while a Data Analyst primarily conducts data analysis and reporting. Managers handle higher-level planning and coordination, whereas Data Analysts focus on data interpretation and insights.

More about Manager Data Mining jobs
What cities are hiring for Manager Data Mining jobs? Cities with the most Manager 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 Manager Data Mining jobs? States with the most job openings for Manager Data Mining jobs include:
Infographic showing various Manager Data Mining job openings in the United States as of May 2026, with employment types broken down into 11% Full Time, and 89% Part Time. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $97,145 per year, or $46.7 per hour.
Data Mining Manager

Data Mining Manager

Diverse Lynx

Sunrise, FL • On-site

Other

This job post has expired today. Applications are no longer accepted.


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.

Diverse Lynx logo

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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