Data Mining Job Salaries

Find salary information for remote positions requiring Data Mining skills. Make data-driven decisions about your career path.

Data Mining

Median high-range salary for jobs requiring Data Mining:

$150,000

This analysis is based on salary ranges collected from 25 job descriptions that match the search and allow working remotely. Choose a country to narrow down the search and view statistics exclusively for remote jobs available in that location.

The Median Salary Range is $100,000 - $150,000

  • 25% of job descriptions advertised a maximum salary above $206,250.
  • 5% of job descriptions advertised a maximum salary above $251,950.

Skills and Salary

Specific skills can have a substantial impact on salary ranges for jobs that align with these search preferences. Certain in-demand skills are highly valued by employers and can significantly boost compensation. These skills often reflect the unique requirements and challenges faced by professionals in these roles. Some of the most sought-after skills that correlate with higher salaries include Leadership, Machine Learning and Python. Mastering these skills can demonstrate expertise and make individuals more competitive in the job market. Employers often prioritize candidates who possess these skills, as they can contribute directly to the organization's success. The ability to effectively utilize these skills can lead to increased earning potential and career advancement opportunities.

  1. Leadership

    20% jobs mention Leadership as a required skill. The Median Salary Range for these jobs is $177,300 - $212,800

    • 25% of job descriptions advertised a maximum salary above $251,950.
    • 5% of job descriptions advertised a maximum salary above $304,000.
  2. Machine Learning

    40% jobs mention Machine Learning as a required skill. The Median Salary Range for these jobs is $147,500 - $199,000

    • 25% of job descriptions advertised a maximum salary above $212,000.
    • 5% of job descriptions advertised a maximum salary above $212,800.
  3. Python

    56% jobs mention Python as a required skill. The Median Salary Range for these jobs is $122,000 - $182,500

    • 25% of job descriptions advertised a maximum salary above $210,000.
    • 5% of job descriptions advertised a maximum salary above $285,760.
  4. Project Management

    24% jobs mention Project Management as a required skill. The Median Salary Range for these jobs is $130,000 - $162,500

    • 25% of job descriptions advertised a maximum salary above $234,600.
    • 5% of job descriptions advertised a maximum salary above $304,000.
  5. Data Analysis

    40% jobs mention Data Analysis as a required skill. The Median Salary Range for these jobs is $120,000 - $160,000

    • 25% of job descriptions advertised a maximum salary above $212,000.
    • 5% of job descriptions advertised a maximum salary above $304,000.
  6. Collaboration

    32% jobs mention Collaboration as a required skill. The Median Salary Range for these jobs is $100,000 - $152,500

    • 25% of job descriptions advertised a maximum salary above $208,900.
    • 5% of job descriptions advertised a maximum salary above $234,600.
  7. Analytical Skills

    24% jobs mention Analytical Skills as a required skill. The Median Salary Range for these jobs is $85,000 - $152,500

    • 25% of job descriptions advertised a maximum salary above $198,000.
    • 5% of job descriptions advertised a maximum salary above $234,600.
  8. Communication Skills

    48% jobs mention Communication Skills as a required skill. The Median Salary Range for these jobs is $90,000 - $137,500

    • 25% of job descriptions advertised a maximum salary above $201,500.
    • 5% of job descriptions advertised a maximum salary above $232,140.
  9. SQL

    52% jobs mention SQL as a required skill. The Median Salary Range for these jobs is $80,000 - $133,500

    • 25% of job descriptions advertised a maximum salary above $180,750.
    • 5% of job descriptions advertised a maximum salary above $289,900.

Industries and Salary

Industry plays a crucial role in determining salary ranges for jobs that align with these search preferences. Certain industries offer significantly higher compensation packages compared to others. Some in-demand industries known for their competitive salaries in these roles include Autonomous Driving Technology, Autonomous driving technology and Cryptocurrency and Blockchain. These industries often have a strong demand for skilled professionals and are willing to invest in talent to meet their growth objectives. Factors such as industry size, profitability, and market trends can influence salary levels within these sectors. It's important to consider industry-specific factors when evaluating potential career paths and salary expectations.

  1. Autonomous Driving Technology

    4% jobs are in Autonomous Driving Technology industry. The Median Salary Range for these jobs is $195,500 - $234,600

  2. Autonomous driving technology

    4% jobs are in Autonomous driving technology industry. The Median Salary Range for these jobs is $177,300 - $212,800

  3. Cryptocurrency and Blockchain

    4% jobs are in Cryptocurrency and Blockchain industry. The Median Salary Range for these jobs is $180,265 - $212,000

  4. Cryptocurrency and financial technology

    4% jobs are in Cryptocurrency and financial technology industry. The Median Salary Range for these jobs is $180,265 - $212,000

  5. Data-Powered Marketing Cloud

    4% jobs are in Data-Powered Marketing Cloud industry. The Median Salary Range for these jobs is $190,000 - $210,000

  6. Aerospace

    4% jobs are in Aerospace industry. The Median Salary Range for these jobs is $155,000 - $190,000

  7. Clean Energy

    4% jobs are in Clean Energy industry. The Median Salary Range for these jobs is $140,000 - $150,000

  8. Healthcare

    12% jobs are in Healthcare industry. The Median Salary Range for these jobs is $75,400 - $133,500

    • 25% of job descriptions advertised a maximum salary above $157,840.5.
    • 5% of job descriptions advertised a maximum salary above $165,954.
  9. Financial Services

    8% jobs are in Financial Services industry. The Median Salary Range for these jobs is $63,340.06 - $116,979.55

    • 25% of job descriptions advertised a maximum salary above $127,614.
  10. Apparel and outdoor lifestyle

    4% jobs are in Apparel and outdoor lifestyle industry. The Median Salary Range for these jobs is $70,000 - $85,000

Disclaimer: This analysis is based on salary ranges advertised in job descriptions found on Remoote.app. While it provides valuable insights into potential compensation, it's important to understand that advertised salary ranges may not always reflect the actual salaries paid to employees. Furthermore, not all companies disclose salary ranges, which can impact the accuracy of this analysis. Several factors can influence the final compensation package, including:

  • Negotiation: Salary ranges often serve as a starting point for negotiation. Your experience, skills, and qualifications can influence the final offer you receive.
  • Benefits: Salaries are just one component of total compensation. Some companies may offer competitive benefits packages that include health insurance, paid time off, retirement plans, and other perks. The value of these benefits can significantly affect your overall compensation.
  • Cost of Living: The cost of living in a particular location can impact salary expectations. Some areas may require higher salaries to maintain a similar standard of living compared to others.

Jobs

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πŸ“ TX, Oklahoma, Illinois, Iowa, Missouri, Louisiana, Tennessee

🧭 Full-Time

πŸ’Έ 43888.0 - 112200.0 USD per year

πŸ” Healthcare

  • 1-3 years of Investigative experience in healthcare fraud, waste, and abuse.
  • Strong knowledge of medical terminology/CPT/HCPCS coding.
  • Advanced skills with Microsoft Excel.
  • Experience in healthcare/medical insurance claims investigation or professional/clinical experience.
  • Proficient in researching information and identifying information resources.
  • Proficiency in Word, MS Outlook products, Database search tools, and internet research.
  • Ability to interact with different groups of people and provide assistance in a timely basis.
  • Ability to utilize company systems to obtain relevant electronic documentation.
  • Ability to travel and participate in legal proceedings.

  • Investigates to prevent payment of fraudulent claims submitted to the Medicaid lines of business.
  • Researches and prepares cases for clinical and legal review.
  • Documents all appropriate case activity in case tracking system.
  • Facilitates feedback with providers related to clinical findings.
  • Initiates proactive data mining to identify aberrant billing patterns.
  • Makes referrals, both internal and external, in the required timeframe.
  • Facilitates the recovery of company and customer money lost as a result of fraud matters.
  • Provides on the job training to new Investigators and guidance for less experienced Investigators.
  • Assists Investigators in identifying resources and best course of action on investigations.
  • Serves as back up to the Team Leader as necessary.
  • Cooperates with federal, state, and local law enforcement agencies in investigations.
  • Demonstrates high level of knowledge and expertise during civil and criminal proceedings.
  • Gives presentations to customers regarding healthcare fraud matters.

Data MiningMicrosoft ExcelResearch skills

Posted 2 days ago
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πŸ“ United States of America

🧭 Full-Time

πŸ’Έ 97900.0 - 133500.0 USD per year

πŸ” Healthcare

  • Bachelor's degree and 5 or more years of data analytics experience OR Master's degree and 3 years of experience.
  • 3 plus years of experience with data mining, SQL data structuring for analytics, and using data visualizations.
  • Excellent verbal and written communication skills.
  • Strong attention to detail.
  • Passion for improving consumer experiences.
  • Preferred qualifications include an advanced degree and expertise in forecasting and predictive modeling.
  • Familiarity with technologies such as SAS, SQL, Python, QlikView, Tableau, and Hadoop.

  • The Senior Informaticist coordinates with other analytics, IT, and business areas to ensure work is informed by subject matter experts.
  • Work involves complex issues requiring in-depth evaluation of data.
  • Leverage advanced knowledge of data and analytics to predict behavior and optimize programs.
  • Utilize predictive modeling to improve program outcomes and quality.
  • Contribute to innovative financial modeling approaches.
  • Articulate complex data impacts to various company units.
  • Begin to influence department strategy and make decisions on project components.

PythonSQLData MiningHadoopQlikViewTableauData analytics

Posted 8 days ago
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πŸ“ United States, United Kingdom

🧭 Full-Time

πŸ’Έ 155000.0 - 190000.0 USD per year

πŸ” Aerospace

  • Advanced degree (Ph.D. or MS plus 2 years experience) in mathematics, data science, physics, or related quantitative discipline.
  • Conducted quantitative research with an emphasis in simulation modeling, reinforcement learning, agent-based modeling, or stochastic data set construction.
  • Demonstrated proficiency in algorithm development in programming languages like Julia, Python, Java/Kotlin, or C/C++.
  • Expert-level understanding of machine learning and deep learning.
  • Ability to work within multi-disciplinary teams in a fast-paced environment.
  • Excellent verbal and written communication skills.

  • Development of machine learning approaches, algorithms, and prototypes that lend datasets and scenario insights into key business areas.
  • Create and prepare predictive models into Slingshot data science software products.
  • Identify and design data science product development and outreach activities.
  • Build and refine simulation-based dataset development and predictions.
  • Participate in a collaborative data science team culture.
  • Deliver data science modeling insights as publications, papers, and patents.

PythonData AnalysisData MiningMachine LearningData science

Posted 9 days ago
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πŸ“ PA, Arizona, Texas, Illinois, Connecticut, Rhode Island, Tennessee

πŸ’Έ 75400.0 - 165954.0 USD per year

πŸ” Health Care

  • Knowledge of GAAP accounting and financial operations.
  • Expert level in using Microsoft Excel.
  • Understanding of financial close processes and Sarbanes Oxley/Internal controls.
  • Experience with actuarial concepts and reserving.
  • Skills in critical thinking, problem-solving, and managing personnel.

  • Lead a team overseeing day-to-day functions of Medicare Supplement Controllership.
  • Manage the financial close process and financial reporting.
  • Ensure responsibility over controls.

SQLData MiningMicrosoft AccessOracleMicrosoft Excel

Posted 11 days ago
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πŸ“ UK

🧭 Full-Time

πŸ’Έ 130000.0 - 155000.0 GBP per year

πŸ” Financial Services

  • Experience managing teams of 5 or more high-performing Machine Learning professionals.
  • Ability to own ML systems in production and understand their design based on business problems.
  • Experience collaborating with senior business stakeholders and product teams.
  • Empathetic leadership style with a focus on helping others achieve their goals.

  • Head machine learning for the Financial Crime domain at Monzo.
  • Build the vision, strategy, and team of machine learning experts.
  • Collaborate across interdisciplinary squads with Product Managers, Engineers, and Data colleagues.
  • Design, build, and deliver safe and validated ML systems.
  • Support and develop high-performing ML Scientists through coaching and relationship-building.
  • Coordinate with other ML and Platform teams to adopt best practices.

LeadershipPythonArtificial IntelligenceData AnalysisData MiningMachine LearningPeople ManagementCross-functional Team LeadershipAlgorithmsGoCommunication SkillsAnalytical SkillsCollaborationProblem SolvingMentoringCoachingTeam management

Posted 15 days ago
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πŸ“ India

🧭 Contract

πŸ’Έ 25000.0 - 30000.0 INR per month

πŸ” Lead Generation

🏒 Company: HIKINEX

  • Proven experience in Excel or Data Entry.
  • Excellent communication and interpersonal skills.
  • Strong data analytical skills.
  • Proficiency in MS Office products (Excel, Word).
  • Ability to work in a fast-paced environment.
  • Manage multiple priorities effectively.
  • Team player with a strong work ethic.
  • Ability to handle confidential information with discretion.

  • Identify and generate qualified leads through web research.
  • Generate leads using search engines, LinkedIn, and ZoomInfo.
  • Identify decision makers with detailed contact information.
  • Verify the authenticity and relevance of sourced leads.
  • Input lead details accurately into the company's database.
  • Utilize various lead generation tools.
  • Collaborate in designing and implementing new processes.
  • Provide regular updates on leads sourced and challenges faced.
  • Utilize internal resources to meet client and company requirements.

Data MiningCommunication SkillsAnalytical SkillsCollaborationMicrosoft ExcelProblem SolvingMicrosoft OfficeAttention to detailOrganizational skillsTime ManagementWritten communicationMultitaskingMicrosoft Office Suite

Posted 19 days ago
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πŸ“ United States

πŸ’Έ 140000.0 - 200000.0 USD per year

πŸ” Visual Media industry

🏒 Company: PhotoShelterπŸ‘₯ 11-50πŸ’° Private about 3 years agoInternetAdvertisingE-CommercePhotographySoftware

  • 7+ years of professional engineering experience.
  • 4+ years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, TensorFlow).
  • 4+ years of work experience in classification, regression, clustering, natural language processing, experiments, and optimization.
  • Expertise with training and fine-tuning computer vision models.
  • Experience with ensemble learning and AI decision making.
  • Willingness to get hands on with model improvement and decision making systems.
  • Experience with data labeling software and best practices.
  • Familiarity with vector/embedding.
  • Familiarity with Python and best practices.
  • Passion for experimentation to support continuous improvement.

  • Help define ML system requirements for experimentation and production services.
  • Define internal quality processes in the team including testing methodologies and data collection.
  • Identify improvement opportunities such as automating manual processes and cost reduction.
  • Mentor/guide existing stakeholders and engineers.
  • Solve complex problems with multilayered data sets, and optimize existing machine learning libraries and frameworks.
  • Identify differences in data distribution that could potentially affect model performance in real-world applications.
  • Ensure algorithms generate accurate user recommendations.
  • Monitor and stay updated with industry trends and emerging technologies to identify opportunities for innovation and improvement.

AWSPythonData AnalysisData MiningMachine LearningMLFlowPyTorchSparkTensorflow

Posted 19 days ago
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πŸ“ Alabama, Arizona, California, Colorado, Connecticut, Florida, Georgia, Illinois, Indiana, Iowa, Kansas, Kentucky, Maine, Maryland, Massachusetts, Michigan, Minnesota, Missouri, Nevada, New Hampshire, New Jersey, New Mexico, New York, North Carolina, Ohio, Oregon, Pennsylvania, Rhode Island, South Carolina, Tennessee, Texas, Utah, Vermont, Virginia, Washington, Washington, D.C.

🧭 Full-Time

πŸ’Έ 65520.0 - 85995.0 USD per year

πŸ” Health insurance

🏒 Company: Oscar HealthπŸ‘₯ 1001-5000πŸ’° $140,000,000 Private about 4 years agoπŸ«‚ Last layoff over 4 years agoHealth InsuranceInsurTechInsuranceHealth Care

  • A bachelor’s degree or 4+ years of commensurate experience.
  • 3+ years experience in a claims processing environment or auditing within healthcare operations.
  • 2+ years of experience working with large data sets using Excel or a database language.
  • 1+ years experience deriving business insights from datasets and solving problems.
  • 1+ years experience improving business workflows and processes.
  • 1+ years experience collaborating with internal and/or external stakeholders.

  • Ingest information from internal and external partners regarding adverse claim outcomes.
  • Collaborate with partners to scope, size, prioritize items and deliver solutions.
  • Utilize data analysis skills to develop accurate, quantitative analyses of issues.
  • Translate observations and findings into detailed business requirements.
  • Identify thematic areas of opportunity to solve problems.
  • Keep stakeholders informed of progress and assist with escalated issues.

SQLData AnalysisData Mining

Posted about 1 month ago
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πŸ“ United States

🧭 Full-Time

πŸ’Έ 134000.0 - 205000.0 USD per year

πŸ” Video Game Development

🏒 Company: Fantastic Pixel Castle

  • 12+ years of experience in AAA games.
  • Proven artist experience with a strong portfolio of next-gen 3D content.
  • Track record of building effective communication channels with internal and external teams.
  • Experience with complex asset pipeline problems and collaboration with tech artists.

  • Generate and gather detailed documentation, video references, and technical requirements to support external artists.
  • Clearly communicate feedback to external artists and ensure internal alignment.
  • Foster long-term partnerships with outsource teams.
  • Provide feedback to team leadership and manage staffing needs.
  • Grow a team of Outsource Managers.

LeadershipData MiningGame DesignGame DevelopmentPeople ManagementCross-functional Team LeadershipBlenderUnreal engineCommunication SkillsCollaborationProblem SolvingMentoringAttention to detailDocumentationCoaching

Posted about 1 month ago
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πŸ”₯ Lead AI Engineer
Posted about 1 month ago

πŸ“ United States

πŸ’Έ 190000 - 210000 USD per year

πŸ” Data-Powered Marketing Cloud

🏒 Company: Zeta GlobalπŸ‘₯ 1001-5000πŸ’° $105,263,174 Post-IPO Equity 4 months agoInformation ServicesAdvertisingAnalyticsMarketing

  • Bachelor’s in computer science or a related field (Master’s is a plus) OR 5+ years of proven experience as ML Engineer.
  • Proven software engineering experience and an understanding of developing large-scale systems.
  • Experience with containerization: Docker & Kubernetes.
  • Experience with AWS cloud services like EKS, ECS, EMR, Lambda.
  • Extensive experience with Python and Python-based ML tools and frameworks, especially deep learning libraries like PyTorch.
  • Strong understanding of data manipulation techniques, including SQL, Pandas, or Spark.
  • Experience in applying statistical analysis and machine learning to real-world problems.
  • Experience working collaboratively in cross-functional teams.
  • Excellent communication skills for technical solutions presentation.

  • Use Python and industry-standard ML tools to design, build, and deploy machine learning models efficiently.
  • Leverage generative AI models and APIs, along with deep learning frameworks.
  • Partner with teams to integrate advanced ML capabilities into products.
  • Track and refine model performance, implementing improvements.
  • Engage with advancements in ML and software engineering.

AWSDockerPythonSoftware DevelopmentSQLArtificial IntelligenceData MiningKubernetesMachine LearningPyTorchPandasSparkCommunication SkillsSoftware Engineering

Posted about 1 month ago
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