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Data Mining Scientist Jobs (NOW HIRING)

Data Mining Manager Location: Sunrise, FL Duration: Fulltime Skills : Data mining Salary: 90K ... Work closely with data engineering and data science teams to operationalize insights. * Develop ...

Machine Learning Engineer, Data Mining

Pittsburgh, PA · On-site +1

$111K - $133K/yr

What We're Looking For (Must-Haves): * BS or MS in Computer Science, Machine Learning, or a related ... Experience with ML-based data mining, active learning, or contrastive learning. * Knowledge of ...

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.

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.

As a Data Scientist, you will apply your expertise in statistical analysis and data mining to support U.S. Customs and Border Protection, transforming raw data into actionable insights.

They are seeking a Data Scientist to develop predictive models in marketing, understand business ... into data mining problems • Applying techniques such as clustering, classification and ...

They are seeking a Data Scientist to develop predictive models in marketing, understand business ... into data mining problems • Applying techniques such as clustering, classification and ...

Our Client is looking for Data Scientists who are dedicated to data mining techniques for various applications serving enterprise and consumer end-users. Understanding of machine learning techniques ...

Our Client is looking for Data Scientists who are dedicated to data mining techniques for various applications serving enterprise and consumer end-users. Understanding of machine learning techniques ...

They are seeking a Data Scientist with extensive experience in data mining, artificial intelligence, and machine learning to apply advanced analytics in business contexts. Qualifications : Required ...

Overview BigBear.ai is seeking a Data Scientist to conduct data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis using scientific ...

Machine Learning Engineer, Data Mining

Boston, MA · On-site +1

$124K - $149K/yr

What We're Looking For (Must-Haves): * BS or MS in Computer Science, Machine Learning, or a related ... Experience with ML-based data mining, active learning, or contrastive learning. * Knowledge of ...

Data Scientist Location: Sunnyvale, CA Sponsorship: Yes Relocation: Yes Industry: eCommerce Are you ... Use data mining and machine learning techniques to develop robust models in areas such as ...

A Data Scientist will bring forth a strong focus on building intelligent agents, automation, and ... Participates in the data gathering, data processing and data mining of large and complex datasets.

A Data Scientist will bring forth a strong focus on building intelligent agents, automation, and ... Participates in the data gathering, data processing and data mining of large and complex datasets.

A Data Scientist will bring forth a strong focus on building intelligent agents, automation, and ... Participates in the data gathering, data processing and data mining of large and complex datasets.

A Data Scientist will bring forth a strong focus on building intelligent agents, automation, and ... Participates in the data gathering, data processing and data mining of large and complex datasets.

A Data Scientist will bring forth a strong focus on building intelligent agents, automation, and ... Participates in the data gathering, data processing and data mining of large and complex datasets.

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Data Mining Scientist information

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$37.5K

$122.7K

$196.5K

How much do data mining scientist jobs pay per year?

As of Jul 3, 2026, the average yearly pay for data mining scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

Is a data scientist in high demand?

Data scientists are in high demand across many industries due to the increasing reliance on data-driven decision making. The role often requires skills in programming, statistical analysis, and machine learning, and job growth is expected to remain strong in the coming years.

Is 30 too late for data science?

Data Mining Scientists and other data science roles often value skills and experience over age. Many professionals transition into data science in their 30s or later by acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications. Age is generally not a barrier if you develop the necessary technical expertise and practical experience.

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

AspectData Mining ScientistData Analyst
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related fields; knowledge of machine learningBachelor's degree in Statistics, Mathematics, or related fields; proficiency in data visualization and analysis tools
Work EnvironmentResearch-focused, developing models, exploring large datasetsBusiness-focused, interpreting data, creating reports and dashboards
Employer & Industry UsageTech companies, research institutions, large enterprisesRetail, finance, healthcare, marketing

While both roles analyze data, Data Mining Scientists focus on developing predictive models and algorithms from large datasets, often in research or development settings. Data Analysts interpret data to generate reports and insights for business decisions. The roles complement each other but differ in technical depth and focus areas.

Is 40 too late for data science?

Data mining scientists and data scientists can enter the field at any age, as success depends on skills, experience, and continuous learning. Many professionals transition into data science later in their careers by acquiring relevant knowledge in programming, statistics, and tools like Python or R. Age is not a barrier if you develop the necessary expertise and stay current with industry trends.

What are the key skills and qualifications needed to thrive as a Data Mining Scientist, and why are they important?

To thrive as a Data Mining Scientist, you need a strong background in statistics, data analysis, and programming, usually supported by a degree in computer science, mathematics, or a related field. Expertise with tools and languages such as Python, R, SQL, and machine learning frameworks (e.g., scikit-learn, TensorFlow), as well as experience with big data platforms like Hadoop or Spark, is essential. Strong problem-solving abilities, communication skills, and curiosity help you uncover insights and present findings effectively. These skills are crucial for extracting valuable information from complex datasets, driving data-driven decisions, and supporting organizational goals.

How does a Data Mining Scientist typically collaborate with other departments within a company?

Data Mining Scientists often work closely with cross-functional teams, including data engineers, business analysts, and product managers. They collaborate to define project goals, understand data requirements, and translate business needs into actionable data models. Effective communication is key, as Data Mining Scientists must explain complex findings in an accessible way and work together to implement data-driven solutions that support business objectives. This collaborative environment fosters innovation and ensures that insights are aligned with broader company strategies.

What does a Data Mining Scientist do?

A Data Mining Scientist analyzes large sets of data to discover patterns, trends, and insights that can help organizations make informed decisions. They use statistical methods, machine learning algorithms, and programming tools to extract useful information from complex data sources. Their work often involves data cleaning, feature selection, model building, and interpreting results for non-technical stakeholders. Data Mining Scientists are essential for turning raw data into actionable knowledge across many industries, including finance, healthcare, and marketing.

Is data mining a good career?

Data mining is a viable career as a Data Mining Scientist involves analyzing large datasets to extract useful patterns, often requiring skills in statistics, programming, and data visualization tools. The field offers opportunities in various industries such as technology, finance, and healthcare, with demand for professionals who can turn data into actionable insights.
More about Data Mining Scientist jobs
Infographic showing various Data Mining Scientist job openings in the United States as of June 2026, with employment types broken down into 35% Full Time, 3% Part Time, 6% Temporary, and 56% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Data Mining Manager

Data Mining Manager

Diverse Lynx

Sunrise, FL • On-site

Other

Posted 15 hours 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.

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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