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Small Mine Development Jobs in Texas (NOW HIRING)

Lendistry

Data Scientist I

Dallas, TX · On-site

Lendistry is the nation's largest minority-led lender for small businesses and commercial real ... development decisions. Responsibilities : • Implement, optimize, and monitor risk, fraud, line ...

Lendistry

Data Scientist I

Dallas, TX · On-site

... small businesses and commercial real estate. As a certified Community Development Financial ... Mine internal and external datasets to surface actionable insights into customer behavior, usage ...

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Small Mine Development information

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$19

$36

$57

How much do small mine development jobs pay per hour?

As of Aug 3, 2026, the average hourly pay for small mine development in Texas is $36.02, according to ZipRecruiter salary data. Most workers in this role earn between $26.44 and $42.98 per hour, depending on experience, location, and employer.

What is a small mine development?

A Small Mine Development job involves working in underground mining operations to develop, construct, and maintain mines. Employees may operate heavy machinery, perform drilling and blasting, install ground support, and ensure safety standards are met. These roles require specialized skills, physical endurance, and adherence to strict safety regulations. Positions can range from miner and equipment operator to engineering and supervisory roles.

What does a small mine development professional do?

Professionals in Small Mine Development are involved in planning and overseeing the excavation and construction of new mining sites, coordinating with geologists, engineers, and equipment operators. Daily tasks often include site inspections, monitoring progress against project timelines, ensuring safety protocols are followed, and troubleshooting operational issues as they arise. You will also be responsible for documenting production reports, liaising with regulatory bodies, and managing on-site teams. The role involves both office-based planning and fieldwork, providing a dynamic work environment for those who enjoy hands-on leadership and problem-solving.

What are the key skills and qualifications needed for small mine development?

To thrive in Small Mine Development, you need expertise in mining operations, geology, project management, and a solid understanding of mine safety regulations, often backed by a degree in mining engineering or a related field. Familiarity with mine planning software, surveying tools, and relevant certifications such as MSHA (Mine Safety and Health Administration) certification is commonly required. Strong problem-solving skills, leadership, and effective communication are valuable soft skills for this role. These qualifications ensure safe, efficient, and profitable mine development while fostering collaboration among cross-functional teams.

What are the most commonly searched types of Small Mine Development jobs in Texas? The most popular types of Small Mine Development jobs in Texas are:
What are popular job titles related to Small Mine Development jobs in Texas? For Small Mine Development jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Small Mine Development jobs in Texas look for? The top searched job categories for Small Mine Development jobs in Texas are:
Small Mine Development jobs near you
Infographic showing various Small Mine Development job openings in Texas as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $74,923 per year, or $36 per hour.

Data Scientist I

Lendistry

Dallas, TX • On-site

Full-time

Re-posted 29 days ago

Job description

Job Summary:
Lendistry is the nation’s largest minority-led lender for small businesses and commercial real estate. The Data Scientist I will support the management and implementation of strategies on the decision-making platform, utilizing data-driven insights to shape business strategy and product development decisions.
Responsibilities:
• Implement, optimize, and monitor risk, fraud, line assignment, and pricing strategies within the decision engine across all lending channels, proactively identifying and resolving performance issues before they impact operations.
• Aggregate, structure, and analyze large-scale datasets using big data technologies to support credit risk modeling, fraud detection, and loss mitigation strategies.
• Develop and apply advanced statistical models and machine learning techniques to improve decision accuracy and risk management outcomes.
• Design scalable pipelines that transform raw, unstructured data into clean features for predictive modeling.
• Mine internal and external datasets to surface actionable insights into customer behavior, usage patterns, and risk indicators.
• Own analytics projects end-to-end from tool customization to building new analytical solutions while maintaining data integrity and pipeline reliability.
• Build and maintain tracking, monitoring, and reporting frameworks to measure the performance and impact of models, rules, and risk initiatives.
• Research and develop new methodologies and techniques to continuously improve the effectiveness of credit and fraud risk strategies.
• Partner with engineering, product, and business teams to align data science solutions with organizational goals and deliver measurable impact.
Qualifications:
Required:
• Bachelor's degree in a quantitative field (engineering, math, statistics, or similar).
• 3+ years of hands-on experience in business analysis, customer segmentation, and/or predictive modeling, preferably in the financial services industry.
• Proficiency in Python, SQL, and one or more additional scripting or programming languages (Java, SAS, etc.).
• Solid understanding of machine learning and statistical modeling techniques including logistic regression, gradient boosting (GBM), and clustering.
• Comfortable working with large datasets and translating complex analysis into clear, actionable outputs.
• Strong written and verbal communication skills; able to present findings clearly to both technical and non-technical audiences.
• Collaborative team player who can also work independently and manage competing priorities.
• Creative, analytical thinker with a bias toward action and continuous improvement.
Preferred:
• MS/PhD preferred.
• Experience implementing credit strategies within a decision engine platform (Provenir, GDS-Link, Zoot, or similar) is a strong plus.
Company:
Lendistry is a lender and fintech company that provides business loans and grant access to small businesses. Founded in 2015, the company is headquartered in Los Angeles, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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