Directs the data gathering, data processing and data mining of large and complex datasets. * Leads the development of algorithms using advanced mathematical and statistical techniques like machine ...
Directs the data gathering, data processing and data mining of large and complex datasets. * Leads the development of algorithms using advanced mathematical and statistical techniques like machine ...
$50K/yr
Skills include but are not limited to maintenance and repair of heavy equipment used in the construction and mining industries including but not limited to loaders, graders, and multifunctional ...
$50K/yr
Skills include but are not limited to maintenance and repair of heavy equipment used in the construction and mining industries including but not limited to loaders, graders, and multifunctional ...
Schedule Engineer
Newark, DE · On-site
Data mining - Mining data from as-built schedule for historical metrics * Estimating - Performing square footage and quantity take-offs, as needed * Cost loading of schedule activities and ...
Schedule Engineer
Newark, DE · On-site
Data mining - Mining data from as-built schedule for historical metrics * Estimating - Performing square footage and quantity take-offs, as needed * Cost loading of schedule activities and ...
Schedule Engineer
Newark, DE · On-site
Data mining - Mining data from as-built schedule for historical metrics * Estimating - Performing square footage and quantity take-offs, as needed * Cost loading of schedule activities and ...
Schedule Engineer
Newark, DE · On-site
Data mining - Mining data from as-built schedule for historical metrics * Estimating - Performing square footage and quantity take-offs, as needed * Cost loading of schedule activities and ...
Schedule Engineer
Newark, DE · On-site
Data mining - Mining data from as-built schedule for historical metrics * Estimating - Performing square footage and quantity take-offs, as needed * Cost loading of schedule activities and ...
Schedule Engineer
Newark, DE · On-site
Data mining - Mining data from as-built schedule for historical metrics * Estimating - Performing square footage and quantity take-offs, as needed * Cost loading of schedule activities and ...
Identify emerging trends and performance shifts using statistical, quantitative, and data-mining methodologies * Analyze collections data to deliver diagnostics, insights, and opportunities for ...
Identify emerging trends and performance shifts using statistical, quantitative, and data-mining methodologies * Analyze collections data to deliver diagnostics, insights, and opportunities for ...
Apply advanced analytical and data mining techniques to identify meaningful patterns and correlations within datasets, translating findings into behavioral insights that inform business decisions
Apply advanced analytical and data mining techniques to identify meaningful patterns and correlations within datasets, translating findings into behavioral insights that inform business decisions
Apply advanced analytical and data mining techniques to identify meaningful patterns and correlations within datasets, translating findings into behavioral insights that inform business decisions
Apply advanced analytical and data mining techniques to identify meaningful patterns and correlations within datasets, translating findings into behavioral insights that inform business decisions
Apply advanced analytical and data mining techniques to identify meaningful patterns and correlations within datasets, translating findings into behavioral insights that inform business decisions
Apply advanced analytical and data mining techniques to identify meaningful patterns and correlations within datasets, translating findings into behavioral insights that inform business decisions
Identify emerging trends and performance shifts using statistical, quantitative, and data-mining methodologies * Analyze collections data to deliver diagnostics, insights, and opportunities for ...
Identify emerging trends and performance shifts using statistical, quantitative, and data-mining methodologies * Analyze collections data to deliver diagnostics, insights, and opportunities for ...
Identify emerging trends and performance shifts using statistical, quantitative, and data-mining methodologies * Analyze collections data to deliver diagnostics, insights, and opportunities for ...
Identify emerging trends and performance shifts using statistical, quantitative, and data-mining methodologies * Analyze collections data to deliver diagnostics, insights, and opportunities for ...
Identify emerging trends and performance shifts using statistical, quantitative, and data-mining methodologies * Analyze collections data to deliver diagnostics, insights, and opportunities for ...
Identify emerging trends and performance shifts using statistical, quantitative, and data-mining methodologies * Analyze collections data to deliver diagnostics, insights, and opportunities for ...
Apply advanced analytical and data mining techniques to identify meaningful patterns and correlations within datasets, translating findings into behavioral insights that inform business decisions
Apply advanced analytical and data mining techniques to identify meaningful patterns and correlations within datasets, translating findings into behavioral insights that inform business decisions
... mining tools and quantitative methodologies • Prepare and present detailed performance monitoring reports to senior management and stakeholders, ensuring clear communication of findings • Conduct ...
... mining tools and quantitative methodologies • Prepare and present detailed performance monitoring reports to senior management and stakeholders, ensuring clear communication of findings • Conduct ...
... in data mining and statistical modeling, Advise clients & internal teams on the right analytics algorithm, platforms and approaches to take in addressing complex, open-ended business problems.
... in data mining and statistical modeling, Advise clients & internal teams on the right analytics algorithm, platforms and approaches to take in addressing complex, open-ended business problems.
... mining tools and quantitative methodologies Prepare and present detailed performance monitoring reports to senior management and stakeholders, ensuring clear communication of findings Conduct data ...
... mining tools and quantitative methodologies Prepare and present detailed performance monitoring reports to senior management and stakeholders, ensuring clear communication of findings Conduct data ...
Master's degree or higher in a quantitative field Experience with data mining and data preparation for ML models Proficiency in statistical methods and tools, including experimental design ...
Master's degree or higher in a quantitative field Experience with data mining and data preparation for ML models Proficiency in statistical methods and tools, including experimental design ...
... mining tools and quantitative methodologies Prepare and present detailed performance monitoring reports to senior management and stakeholders, ensuring clear communication of findings Conduct data ...
... mining tools and quantitative methodologies Prepare and present detailed performance monitoring reports to senior management and stakeholders, ensuring clear communication of findings Conduct data ...
Client Service Manager
Rehoboth Beach, DE · On-site
$65K - $75K/yr
Identify and target potential clients through research and data mining * Connect with decision-makers via phone and email * Serve as the main point of contact for all client inquiries and requests
Client Service Manager
Rehoboth Beach, DE · On-site
$65K - $75K/yr
Identify and target potential clients through research and data mining * Connect with decision-makers via phone and email * Serve as the main point of contact for all client inquiries and requests
... to metals, mining, and specialty manufacturing. The Hardware Designer plays a critical role in delivering customized automation and control solutions to meet client needs across North America.
Quick apply
... to metals, mining, and specialty manufacturing. The Hardware Designer plays a critical role in delivering customized automation and control solutions to meet client needs across North America.
Mining Job information
What are some common challenges faced by workers in mining jobs, and how can they be addressed?
Mining jobs often involve working in physically demanding and sometimes hazardous environments, which can present challenges such as fatigue, exposure to dust or noise, and strict safety protocols. Teamwork and communication are essential to ensure safety and maintain productivity, as operations often rely on coordination between multiple crew members and departments. Employers typically offer thorough safety training and provide personal protective equipment to help mitigate risks. Staying alert, following procedures, and participating in ongoing training can help workers adapt and thrive in this environment.
What are the key skills and qualifications needed to thrive in a mining job, and why are they important?
To thrive in a mining job, you typically need knowledge of mining operations, safety protocols, and physical fitness, often supported by a high school diploma or relevant trade certification. Familiarity with heavy machinery, mine-specific software, and safety certifications such as MSHA (Mine Safety and Health Administration) are commonly required. Strong teamwork, attention to detail, and problem-solving skills help individuals excel in challenging and potentially hazardous environments. These skills and qualifications are crucial for ensuring safe, efficient, and productive mining operations.
Is mining a good paying job?
Mining jobs often offer competitive wages, especially for skilled roles such as heavy equipment operators, geologists, and safety specialists. Salaries can vary based on experience, location, and the specific mining sector, with many positions also providing benefits like overtime pay and hazard allowances.
What are mining jobs?
Mining jobs refer to positions involved in the extraction of minerals, metals, and other geological materials from the earth. These jobs can include roles such as miners, engineers, equipment operators, geologists, and safety inspectors, among others. Mining jobs are found in both underground and surface mining operations, and often require specialized training or certifications. Workers in this field are responsible for operating machinery, ensuring safety compliance, and sometimes processing the extracted materials. The mining industry is essential for providing raw materials used in many products and industries worldwide.
What positions are there in mining?
Mining offers a variety of positions including miners, geologists, engineers, equipment operators, safety officers, and surveyors. These roles require specific skills, certifications, and knowledge of mining equipment and safety protocols, often working in challenging environments and shifts.
What is the difference between Mining Job vs Drilling Technician?
| Aspect | Mining Job | Drilling Technician |
|---|---|---|
| Credentials | High school diploma or equivalent; certifications in safety and equipment operation | High school diploma; certifications in drilling operations and safety |
| Work Environment | Underground or surface mining sites, often outdoors | Construction sites, oil and gas fields, underground or surface drilling locations |
| Industry Usage | Mining industry, mineral extraction | Oil and gas, mineral exploration, construction |
Mining jobs and drilling technicians share similar credentials and work environments, often involving outdoor, physically demanding work. Both roles are essential in resource extraction industries, with overlapping safety and technical training. However, mining jobs focus on mineral extraction, while drilling technicians specialize in operating drilling equipment for oil, gas, or mineral exploration.
What do you do in a mining job?
A mining job involves extracting minerals, metals, or other geological materials from the earth. Workers operate heavy machinery, perform site inspections, and follow safety protocols in often challenging environments. Skills in equipment operation, physical stamina, and safety training are essential for these roles.
What job in mining pays the most?
In mining, the highest-paying roles are often mine managers, senior engineers, and geological managers, with salaries exceeding $100,000 annually. These positions typically require extensive experience, specialized skills, and relevant certifications, and they oversee operations, safety, and planning in large mining projects.
What are popular job titles related to Mining Job jobs in Delaware? For Mining Job jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Mining Job jobs in Delaware look for? The top searched job categories for Mining Job jobs in Delaware are:
Full-time
Medical, Dental, Vision, Life, Retirement, PTO
Posted 14 days ago
PNC Bank rating
7.7
Based on 342 frontline employees who took The Breakroom Quiz
80th of 149 rated banks
Job description
Position OverviewAt PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company's success. As a Senior Data Scientist within PNC's Data, Modeling & Analytics organization specifically within our Marketing & Customer Analytics group, you will be based in Pittsburgh, PA, Tysons Corner or Vienna, VA or Wilmington, DE.
The Senior Data Scientist - Marketing Valuations will play a critical role in accelerating profitable growth by developing, scaling, and applying valuation analytics and statistical models to enable decisionmaking across marketing strategies.
This role focuses on translating customer, offer, and channel economics into actionable valuation frameworks that inform prioritization, optimization, and investment decisions.
The ideal candidate combines expertise in statistical modeling and advanced analytics with business acumen to deliver analytical solutions for Marketing Valuations.
Key Responsibilities:
Valuation model development & Financial Forecasting: Design and develop valuation and forecasting models such as: Net Present Values, Customer Lifetime Value and Offer Economics to guide marketing budget optimization and investment decisions.
Apply advanced statistical and causal modeling to quantify incremental impact, uncertainty and trade-offs.
Strategic Decision Support: Analyze large datasets to understand customer behavior and translate insights into clear business cases with measurable outcomes.
End-to-End Analytical Ownership: Own the full analytical lifecycle, from problem framing and data exploration to model development and validation.
Cross-functional collaboration: Partners with marketing strategy, finance, and data teams to drive adoption of valuation outputs, advise on their application, and present findings clearly to senior executives to support strategic decisions.
Preferred Skills and Experience:
Advanced degree in a quantitative field (e.g., mathematics, statistics, economics etc.) is preferred.
Progressive experience in data science, advanced analytics, or quantitative modeling, preferably in financial services or marketing analytics.
Demonstrated expertise in marketing valuation concepts, including customer lifetime value, incremental or causal value and offer or channel economics.
Intermediate proficiency in Python and SQL. Knowledge of cloud platforms and big data technologies (Spark, Hadoop).
Excellent communication skills with the ability to explain complex approaches to non-technical and executive stakeholders.
Strong attention to detail.PNC is an in-office company that fosters a supportive culture where employees can thrive and achieve balance. We encourage candidates to connect with their recruiter and hiring manager to understand workplace expectations and ensure the role aligns with their goals.PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position.Job Description
The Senior Data Scientist - Marketing Valuations will play a critical role in accelerating profitable growth by developing, scaling, and applying valuation analytics and statistical models to enable decisionmaking across marketing strategies.
This role focuses on translating customer, offer, and channel economics into actionable valuation frameworks that inform prioritization, optimization, and investment decisions.
The ideal candidate combines expertise in statistical modeling and advanced analytics with business acumen to deliver analytical solutions for Marketing Valuations.
Key Responsibilities:
Valuation model development & Financial Forecasting: Design and develop valuation and forecasting models such as: Net Present Values, Customer Lifetime Value and Offer Economics to guide marketing budget optimization and investment decisions.
Apply advanced statistical and causal modeling to quantify incremental impact, uncertainty and trade-offs.
Strategic Decision Support: Analyze large datasets to understand customer behavior and translate insights into clear business cases with measurable outcomes.
End-to-End Analytical Ownership: Own the full analytical lifecycle, from problem framing and data exploration to model development and validation.
Cross-functional collaboration: Partners with marketing strategy, finance, and data teams to drive adoption of valuation outputs, advise on their application, and present findings clearly to senior executives to support strategic decisions.
Preferred Skills and Experience:
Advanced degree in a quantitative field (e.g., mathematics, statistics, economics etc.) is preferred.
Progressive experience in data science, advanced analytics, or quantitative modeling, preferably in financial services or marketing analytics.
Demonstrated expertise in marketing valuation concepts, including customer lifetime value, incremental or causal value and offer or channel economics.
Intermediate proficiency in Python and SQL. Knowledge of cloud platforms and big data technologies (Spark, Hadoop).
Excellent communication skills with the ability to explain complex approaches to non-technical and executive stakeholders.
Strong attention to detail.PNC is an in-office company that fosters a supportive culture where employees can thrive and achieve balance. We encourage candidates to connect with their recruiter and hiring manager to understand workplace expectations and ensure the role aligns with their goals.PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position.Job Description
- Leads the implementation of analytical projects that leverage vast amounts of structured and unstructured data to extract actionable business insights.
- Directs the data gathering, data processing and data mining of large and complex datasets.
- Leads the development of algorithms using advanced mathematical and statistical techniques like machine learning to predict business outcomes and recommend optimal actions to management.
- Leads analytical experiments in a methodical manner to find opportunities for product and process optimization. Presents business insights to management using visualization technologies and data storytelling.
- Partners with Data Architects, Data Analysts, Data Engineers and Visualization Experts to develop data-driven solutions for the business.
PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be:
- Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions.
- Managing Risk - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework.
Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role. Listed below are skills, competencies, work experience, education, and required certifications/licensures needed to be successful in this position.
Preferred SkillsAnalytical Thinking, Competitive Advantages, Data Analytics, Data Mining, Data Science, Machine Learning (ML)CompetenciesData Architecture, Data Mining, Disruptive Innovation, Information Capture, Machine Learning, Modeling: Data, Process, Events, Objects, Prototyping, Query and Database Access ToolsWork ExperienceRoles at this level typically require a university / college degree, with 5+ years of industry-relevant experience. Specific certifications are often required. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered.EducationMastersCertificationsNo Required Certification(s)LicensesNo Required License(s)Pay TransparencyBase Salary: $100,100.00 - $185,900.00Salaries may vary based on geographic location, market data and on individual skills, experience, and education. This role is incentive eligible with the payment based upon company, business and/or individual performance.Application WindowGenerally, this opening is expected to be posted for two business days from 04/09/2026, although it may be longer with business discretion.BenefitsPNC offers a comprehensive range of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time employees include: medical/prescription drug coverage (with a Health Savings Account feature), dental and vision options; employee and spouse/child life insurance; short and long-term disability protection; 401(k) with PNC match, pension and stock purchase plans; dependent care reimbursement account; back-up child/elder care; adoption, surrogacy, and doula reimbursement; educational assistance, including select programs fully paid; a robust wellness program with financial incentives.In addition, PNC generally provides the following paid time off, depending on your eligibility: maternity and/or parental leave; up to 11 paid holidays each year; 9 occasional absence days each year, unless otherwise required by law; between 15 to 25 vacation days each year, depending on career level; and years of service.To learn more about these and other programs, including benefits for full time and part-time employees, visitpncthrive.com.
Disability Accommodations StatementIf an accommodation is required to participate in the application process, please contact us via email at AccommodationRequest@pnc.com. Please include "accommodation request" in the subject line title and be sure to include your name, the job ID, and your preferred method of contact in the body of the email. Emails not related to accommodation requests will not receive responses. Applicants may also call 877-968-7762 and say "Workday" for accommodation assistance. All information provided will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
At PNC we foster an inclusive and accessible workplace. We provide reasonable accommodations to employment applicants and qualified individuals with a disability who need an accommodation to perform the essential functions of their positions.
PNC provides equal employment opportunity to qualified persons regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other categories protected by law.
This position is subject to the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA) and, for any registered role, the Secure and Fair Enforcement for Mortgage Licensing Act of 2008 (SAFE Act) and/or the Financial Industry Regulatory Authority (FINRA), which prohibit the hiring of individuals with certain criminal history.
California ResidentsRefer to the California Consumer Privacy Act Privacy Notice to gain understanding of how PNC may use or disclose your personal information in our hiring practices.
About PNC Bank
Sourced by ZipRecruiter
Industry
Banking and credit intermediation
Company size
10,000+ Employees
Headquarters location
Pittsburgh, PA, US
Year founded
1852