Data Scientist
Orlando, FL · On-site
$107K/yr
Research & Innovation (10%) • Explore and pilot state-of-the-art analytical tools and emerging ... Proficiency with data mining, statistical analysis, and machine learning platforms (e.g., AzureML ...
Data Scientist
Orlando, FL · On-site
$107K/yr
Research & Innovation (10%) • Explore and pilot state-of-the-art analytical tools and emerging ... Proficiency with data mining, statistical analysis, and machine learning platforms (e.g., AzureML ...
Internship Mining Exploration information
What is an internship in mining exploration?
An Internship in Mining Exploration is a temporary position, often for students or recent graduates, where individuals gain hands-on experience in the field of mineral exploration. Interns typically assist with tasks such as collecting geological samples, conducting field surveys, analyzing data, and supporting exploration teams. This role provides valuable exposure to the mining industry, allowing interns to learn about different exploration techniques and the overall process of identifying and evaluating mineral resources. Internships can last from a few weeks to several months and often serve as a pathway to a full-time career in mining or geology.
What are the key skills and qualifications needed to thrive as an intern in mining exploration?
To thrive in a Mining Exploration Internship, you generally need a background in geology, earth sciences, or mining engineering, often pursuing or holding a relevant undergraduate degree. Familiarity with GIS software, geological mapping tools, and data collection systems is typically expected. Strong analytical thinking, teamwork, adaptability, and effective communication are standout soft skills in this role. These competencies ensure accurate data gathering, safe fieldwork, and successful collaboration on exploration projects.
What are some common challenges faced during an internship in mining exploration, and how can interns best prepare for them?
Interns in mining exploration often encounter challenges such as adapting to remote field environments, managing physically demanding tasks, and quickly learning technical field equipment. Being open to learning, maintaining a strong attention to safety protocols, and demonstrating adaptability are crucial for success. Interns should be prepared to work collaboratively with geologists, engineers, and field technicians, and proactively seek feedback to accelerate their learning curve. Building strong communication skills and a willingness to take on new responsibilities can help interns stand out and make the most of their experience.
What is the difference between Internship Mining Exploration vs Mining Geologist?
| Aspect | Internship Mining Exploration | Mining Geologist |
|---|---|---|
| Required Credentials | Typically pursuing or recent graduate in Geology, Earth Sciences, or related fields | Bachelor's or higher in Geology, Earth Sciences; often requires licensure or certification |
| Work Environment | Field sites, laboratories, and office settings; supervised and entry-level | Fieldwork, site assessment, data analysis; more autonomous and experienced |
| Employer & Industry Usage | Mining companies, exploration firms, internships for students | Mining companies, consulting firms, government agencies; professional role |
Internship Mining Exploration provides hands-on experience for students or recent graduates, focusing on exploration activities under supervision. Mining Geologists are experienced professionals responsible for evaluating mineral deposits, conducting fieldwork, and making technical decisions. The internship is a learning opportunity, while a mining geologist is a full-time role requiring more expertise and credentials.
What are the most commonly searched types of Mining Exploration jobs in Florida?
The most popular types of Mining Exploration jobs in Florida are:
What are popular job titles related to Internship Mining Exploration jobs in Florida?
For Internship Mining Exploration jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Internship Mining Exploration jobs in Florida look for?
The top searched job categories for Internship Mining Exploration jobs in Florida are:
$107K/yr
Temporary
Medical, Dental, Vision, Retirement
Re-posted 22 days ago
Job description
Job Title: Senior Data Scientist (Operations Strategy & Advanced Analytics)
Role Overview
We are seeking a highly sophisticated Senior Data Scientist to formulate and apply advanced analytical approaches to drive incremental business value across a complex, high-volume enterprise ecosystem. In this role, you will bridge the gap between theoretical data science and real-world operational execution, utilizing machine learning, mathematical optimization, and econometric methods to solve intricate problems. You will not only be an individual contributor but also a technical leader, mentoring a team of analysts and engineers while exploring state-of-the-art methodologies to keep our organization at the cutting edge of decision science.
Key Responsibilities
Advanced Analytical Modeling (45%)
• Formulate and deploy complex analytical solutions, including causal and time-series forecasting, econometric modeling, and mathematical optimization.
• Conduct rigorous error analysis to iterate on and improve model performance for large-scale predictions.
Data Engineering & Feature Discovery (20%)
• Assist in the collection, cleaning, and organization of large structured and unstructured datasets.
• Identify causes of variability, test new features, and integrate them into production-level code.
Stakeholder Communication & BI (15%)
• Utilize business intelligence tools to create compelling visualizations that translate complex findings into actionable insights for both technical and non-technical executive leadership.
Research & Innovation (10%)
• Explore and pilot state-of-the-art analytical tools and emerging technologies that can be leveraged to improve team efficiency and model accuracy.
Technical Leadership & Mentorship (10%)
• Lead and manage a pipeline of talent, including interns, co-ops, and associate-level data scientists, providing coaching on model development methodologies and continuous improvement.
Qualifications & Requirements
• Education: Master's Degree in Industrial Engineering, Operations Research, Mathematics, Statistics, Computer Science, or Data Science (Doctoral degree preferred).
• Technical Mastery:
• Machine Learning & Stats: Proficiency with data mining, statistical analysis, and machine learning platforms (e.g., AzureML).
• Programming: Expert-level skills in SQL, Python, and R.
• Automation & Apps: Experience with process automation (Power Automate) and low-code app development (Power Apps).
• Visualization: Expertise in Power BI or Tableau.
• Experience:
• 3+ years of applied experience in analytical model design, development, and deployment.
• 5+ years of experience in high-volume consumer environments (e.g., hospitality, retail, or entertainment) is preferred.
• Attributes:
• Superior conceptual thinking and creative problem-solving skills.
• Demonstrated leadership and mentorship ability in an Agile or continuous improvement environment.
• Willingness to support a 24/7/365 operation, including peak demand periods (weekends and holidays).
Equal Opportunity Employer / Disabled / Protected Veterans
The Know Your Rights poster is available here:
https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12.pdf
The pay transparency policy is available here:
https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf
For temporary assignments lasting 13 weeks or longer, AllSTEM Connections is pleased to offer major medical, dental, vision, 401k and any statutory sick pay where required.
We are committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation for any part of the employment process, please contact your staffing representative who will reach out to our HR team.
AllSTEM Connections participates in the E-Verify program in certain locations as required by law. Learn more about the E-Verify program.
https://e-verify.uscis.gov/web/media/resourcesContents/E-Verify_Participation_Poster_ES.pdf
We also consider for employment qualified applicants regardless of criminal histories, consistent with legal requirements, including, if applicable, the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance. Pursuant to applicable state and municipal Fair Chance Laws and Ordinances, we will consider for employment-qualified applicants with arrest and conviction records, including, if applicable, the San Francisco Fair Chance Ordinance. For Los Angeles, CA applicants: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
Additional Skills
(none specified)
AllSTEM Representative Contact Info
Account Executive:
Nichols
Branch Phone:
(909) 244-1777
Location:
Ontario, CA
Role Overview
We are seeking a highly sophisticated Senior Data Scientist to formulate and apply advanced analytical approaches to drive incremental business value across a complex, high-volume enterprise ecosystem. In this role, you will bridge the gap between theoretical data science and real-world operational execution, utilizing machine learning, mathematical optimization, and econometric methods to solve intricate problems. You will not only be an individual contributor but also a technical leader, mentoring a team of analysts and engineers while exploring state-of-the-art methodologies to keep our organization at the cutting edge of decision science.
Key Responsibilities
Advanced Analytical Modeling (45%)
• Formulate and deploy complex analytical solutions, including causal and time-series forecasting, econometric modeling, and mathematical optimization.
• Conduct rigorous error analysis to iterate on and improve model performance for large-scale predictions.
Data Engineering & Feature Discovery (20%)
• Assist in the collection, cleaning, and organization of large structured and unstructured datasets.
• Identify causes of variability, test new features, and integrate them into production-level code.
Stakeholder Communication & BI (15%)
• Utilize business intelligence tools to create compelling visualizations that translate complex findings into actionable insights for both technical and non-technical executive leadership.
Research & Innovation (10%)
• Explore and pilot state-of-the-art analytical tools and emerging technologies that can be leveraged to improve team efficiency and model accuracy.
Technical Leadership & Mentorship (10%)
• Lead and manage a pipeline of talent, including interns, co-ops, and associate-level data scientists, providing coaching on model development methodologies and continuous improvement.
Qualifications & Requirements
• Education: Master's Degree in Industrial Engineering, Operations Research, Mathematics, Statistics, Computer Science, or Data Science (Doctoral degree preferred).
• Technical Mastery:
• Machine Learning & Stats: Proficiency with data mining, statistical analysis, and machine learning platforms (e.g., AzureML).
• Programming: Expert-level skills in SQL, Python, and R.
• Automation & Apps: Experience with process automation (Power Automate) and low-code app development (Power Apps).
• Visualization: Expertise in Power BI or Tableau.
• Experience:
• 3+ years of applied experience in analytical model design, development, and deployment.
• 5+ years of experience in high-volume consumer environments (e.g., hospitality, retail, or entertainment) is preferred.
• Attributes:
• Superior conceptual thinking and creative problem-solving skills.
• Demonstrated leadership and mentorship ability in an Agile or continuous improvement environment.
• Willingness to support a 24/7/365 operation, including peak demand periods (weekends and holidays).
Equal Opportunity Employer / Disabled / Protected Veterans
The Know Your Rights poster is available here:
https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12.pdf
The pay transparency policy is available here:
https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf
For temporary assignments lasting 13 weeks or longer, AllSTEM Connections is pleased to offer major medical, dental, vision, 401k and any statutory sick pay where required.
We are committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation for any part of the employment process, please contact your staffing representative who will reach out to our HR team.
AllSTEM Connections participates in the E-Verify program in certain locations as required by law. Learn more about the E-Verify program.
https://e-verify.uscis.gov/web/media/resourcesContents/E-Verify_Participation_Poster_ES.pdf
We also consider for employment qualified applicants regardless of criminal histories, consistent with legal requirements, including, if applicable, the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance. Pursuant to applicable state and municipal Fair Chance Laws and Ordinances, we will consider for employment-qualified applicants with arrest and conviction records, including, if applicable, the San Francisco Fair Chance Ordinance. For Los Angeles, CA applicants: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
Additional Skills
(none specified)
AllSTEM Representative Contact Info
Account Executive:
Nichols
Branch Phone:
(909) 244-1777
Location:
Ontario, CA
About AllSTEM Connections
Sourced by ZipRecruiter
Company size
51 - 200 Employees
Headquarters location
Ontario, CA, US
Year founded
1978