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Contract Mining Jobs in Riverside, CA (NOW HIRING)

Contract to Hire Project Overview: The Sr. Data Scientist will join the Personalization Data ... Propose innovative solutions using data mining, statistical analysis, and machine learning. Support ...

Legal Counsel-Commercial

Irvine, CA ยท On-site

$225K - $300K/yr

... mining, and manufacturing. Our autonomous robots operate worldwide, often in the harshest ... Commercial Contract Negotiations * Lead end-to-end negotiation of enterprise customer agreements ...

Legal Counsel-Commercial

Irvine, CA ยท On-site

$225K - $300K/yr

... mining, and manufacturing. Our autonomous robots operate worldwide, often in the harshest ... Commercial Contract Negotiations * Lead end-to-end negotiation of enterprise customer agreements ...

... mining, and manufacturing. Our autonomous robots operate worldwide, often in the harshest ... Commercial Contract Negotiations * Lead end-to-end negotiation of enterprise customer agreements ...

... and mining products. We take pride in doing good things for the environment to help create a ... Coordinating procurement, vendor relationships, and contract terms for equipment * Tracking asset ...

... and mining products. We take pride in doing good things for the environment to help create a ... Coordinating procurement, vendor relationships, and contract terms for equipment * Tracking asset ...

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Showing results 1-20

Contract Mining information

See Riverside, CA salary details

$107.1K

$135.2K

$160.3K

How much do contract mining jobs pay per year?

As of Jun 9, 2026, the average yearly pay for contract mining in Riverside, CA is $135,213.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,900.00 and $149,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Contract Miner, and why are they important?

To thrive as a Contract Miner, you need practical experience in mining operations, a sound understanding of safety regulations, and typically a relevant vocational qualification or trade certification. Familiarity with mining equipment, machinery, and industry-specific software such as mine planning systems is important. Strong teamwork, attention to detail, and effective communication skills help ensure safe and efficient project execution. These skills and qualities are crucial for maintaining operational safety, meeting production targets, and collaborating effectively within variable mining environments.

What is the difference between Contract Mining vs Mine Surveyor?

AspectContract MiningMine Surveyor
Required CredentialsMining engineering certifications, safety trainingSurveying licenses, geospatial certifications
Work EnvironmentOn-site at mining operations, heavy machineryOffice and on-site, mapping and measurement tasks
Employer & Industry UsageMining companies, contractorsMining companies, consulting firms
Common Search & ComparisonYesNo

Contract Mining involves managing and executing mining operations, focusing on extraction and production. Mine Surveyors specialize in mapping, measuring, and planning mining sites. While both roles are essential in mining, Contract Mining covers operational management, whereas Mine Surveyors focus on spatial data and site planning.

What are some common challenges faced by professionals in contract mining, and how are they typically addressed?

Professionals in contract mining often face challenges such as tight project deadlines, fluctuating commodity prices, and adapting to diverse client requirements across different sites. Managing safety and environmental compliance in varying conditions is also a key concern. These challenges are typically addressed through robust project planning, maintaining open communication with clients, investing in staff training, and implementing rigorous safety protocols. Many contract mining teams also use advanced technology and data analytics to optimize operations and minimize downtime.

What is contract mining?

Contract mining is a business model where a mining company hires an external contractor to carry out mining operations instead of performing the work with its own staff and equipment. This can include tasks such as drilling, blasting, hauling, and ore processing. Contract mining allows companies to access specialized expertise, reduce capital expenditure, and improve operational efficiency. It is commonly used in both surface and underground mining projects to help optimize costs and manage risks.
What are the most commonly searched types of Mining jobs in Riverside, CA? The most popular types of Mining jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Contract Mining jobs? Cities near Riverside, CA with the most Contract Mining job openings:

Senior Data Scientist

Hireblazer

Irvine, CA โ€ข On-site

Full-time

Posted 16 days ago


Job description

Job Title: Sr. Data Scientist

Location: Irvine, CA (Hybrid - Onsite and Remote) or San Francisco Market St (Onsite) or Telecommute (Remote)

Contract Type: Contract to Hire

Project Overview:

The Sr. Data Scientist will join the Personalization Data Science and Machine Learning team to focus on solving recommendations, ranking, user condition predictions, and search problems. This KPI-driven team leverages Machine Learning (ML) to deliver personalized experiences. The role involves building end-to-end solutions, collaborating with data scientists and engineers, and ensuring engineering excellence with solid production releases. The team utilizes state-of-the-art machine learning and strives for low-latency solutions.

Top Responsibilities:

Apply advanced statistical and predictive modeling techniques to optimize healthcare and digital experiences.

Propose innovative solutions using data mining, statistical analysis, and machine learning.

Support business needs related to analytics, predictive modeling, and business intelligence.

Collaborate effectively with internal clients to translate their needs into data science use cases.

Provide ongoing tracking and monitoring of model performance and recommend improvements to methods and algorithms.

Required Qualifications:

Bachelor's Degree (Minimum Education Requirement).

Strong hands-on skills in Data Analytics and ML-Ops.

Ability to turn state-of-the-art research into production-level code.

Experience developing analytics with machine learning, deep learning, NLP, and/or other related modeling techniques.

Proficiency in Python, TensorFlow, PyTorch, and/or PySpark.

Ability to translate business needs and requirements into technical solutions.

Solid analytical and problem-solving skills.

Preferred Qualifications:

Master's or Ph.D. degree in Computer Science, Applied Mathematics, (Bio) Statistics, Applied Statistics, Economics, or similar quantitative fields.

Experience developing and deploying models related to recommender systems, NLP, and time series forecasting.

Experience developing algorithms for search engines (e.g., name entity recognition, intent classification, spell correction, auto-completion), cold-start recommendation, and semi-supervised learning (e.g., positive unlabeled learning).