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Data Mining Jobs in Riverside, CA (NOW HIRING)

The Trade Desk

Applied Scientist II

Irvine, CA · On-site

Scala, Python, Java, or R. • You have practical experience in large-scale fraud prevention, graph mining, and data quality initiatives. • You have 2+ years of experience working as a professional ...

Schoolsfirstfcu

Financial Analyst II

Tustin, CA · Hybrid

Solid data mining skills and familiarity with tools like SQL SchoolsFirst FCU is committed to Diverse, Equitable, and Inclusive Hiring At SchoolsFirst FCU we are dedicated to building and growing a ...

Masimo

Sr Engineer, AI/Machine Learning

Irvine, CA · On-site

$140K - $170K/yr

Expertise in data analysis and data mining * Experience with machine learning libraries and modern frameworks such as PyTorch, Tensor flow, Keras, scikit-learn, etc. * Strong programming skills in ...

Masimo

Sr Engineer, AI/Machine Learning

Irvine, CA

$140K - $170K/yr

Expertise in data analysis and data mining * Experience with machine learning libraries and modern frameworks such as PyTorch, Tensor flow, Keras, scikit-learn, etc. * Strong programming skills in ...

Masimo

Sr Engineer, AI/Machine Learning

Irvine, CA · On-site

$140K - $170K/yr

Expertise in data analysis and data mining * Experience with machine learning libraries and modern frameworks such as PyTorch, Tensor flow, Keras, scikit-learn, etc. * Strong programming skills in ...

Anduril Industries

Product Quality Engineer, Sentry

Irvine, CA · On-site

$77K - $99K/yr

Analytical skills and experiences for data mining, data quality, metrics generation, issue management systems, and statistical analysis tools (MatLab, JMP, MiniTab, etc) * Must be able to obtain and ...

Masimo

Sr Engineer, AI/Machine Learning

Irvine, CA

$140K - $170K/yr

Expertise in data analysis and data mining * Experience with machine learning libraries and modern frameworks such as PyTorch, Tensor flow, Keras, scikit-learn, etc. * Strong programming skills in ...

Bristol & Bates

Account Executive

Irvine, CA · Hybrid

Ability to utilize multiple sourcing tools in particular; data mining, direct networking, social media * Highly articulate, excellent written and verbal communication skills. Ability to quickly adapt ...

Bristol & Bates

Account Executive

Irvine, CA · On-site

Ability to utilize multiple sourcing tools in particular; data mining, direct networking, social media * Highly articulate, excellent written and verbal communication skills. Ability to quickly adapt ...

The Trade Desk

Applied Scientist II

Irvine, CA · On-site

You will have the opportunity, based on your interests and background, to work on problems related to graph mining and graph merging; algorithmic optimization on petabytes of data; and theoretical ...

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All JobsData Mining JobsData Mining Jobs in Riverside, CA

Data Mining information

See Riverside, CA salary details

$53.2K

$73K

$92.8K

How much do data mining jobs pay per year?

As of Jun 18, 2026, the average yearly pay for data mining in Riverside, CA is $73,028.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,400.00 and $88,700.00 per year, depending on experience, location, and employer.

How much money do data miners make?

Data miners typically earn a median annual salary of around $60,000 to $80,000, depending on experience, education, and location. Entry-level positions may start lower, while experienced data miners with skills in SQL, Python, or data analysis tools can earn higher salaries or freelance rates.

What does a data miner do?

A data miner analyzes large datasets to identify patterns, trends, and useful information using techniques like statistical analysis and machine learning. They often use tools such as SQL, Python, or R and work to support decision-making, research, or business strategies. Strong analytical skills and knowledge of data management are essential for this role.

Is data mining a good career?

Data mining is a viable career that involves analyzing large datasets to extract useful information, often requiring skills in statistics, programming, and data analysis tools like SQL and Python. It is in demand across industries such as finance, healthcare, and marketing, with opportunities for growth and specialization. Success in this field typically requires continuous learning and relevant certifications or training.

What are some common challenges faced by professionals in Data Mining roles?

Data Mining professionals often encounter challenges such as handling large and complex datasets, ensuring data quality, and selecting the most appropriate algorithms for specific business problems. Managing diverse data sources and cleaning data to prepare it for analysis can be time-consuming and requires careful attention to detail. Collaboration with business analysts, IT staff, and subject matter experts is frequent, as understanding the business context is essential for meaningful results. Overcoming these challenges is key to delivering accurate insights and supporting strategic decisions within an organization.

What is a Data Mining job?

A Data Mining job involves extracting useful patterns, trends, and insights from large datasets using statistical, machine learning, and analytical techniques. Professionals in this field work with structured and unstructured data to help businesses make data-driven decisions. Common tasks include data preprocessing, feature selection, algorithm development, and result interpretation. They often use tools like Python, R, SQL, and data visualization software to analyze data effectively.

Is 40 too late for data science?

Data mining is a key skill in data science, and professionals can enter the field at any age. Success depends on acquiring relevant skills such as programming, statistics, and tools like SQL or Python, regardless of age, making 40 not too late to start a career in data science or data mining.

What are the key skills and qualifications needed to thrive in the Data Mining position, and why are they important?

To thrive in Data Mining, a strong background in statistics, mathematics, computer science, and data analysis is usually required, often supported by a related degree or equivalent experience. Familiarity with tools such as Python, R, SQL, and data mining platforms like Weka or RapidMiner, as well as certifications in data analytics, are highly beneficial. Strong problem-solving abilities, analytical thinking, and effective communication skills help professionals interpret complex data and share actionable insights with stakeholders. These competencies are crucial for extracting valuable information from large datasets and driving data-informed decision-making within organizations.

What are popular job titles related to Data Mining jobs in Riverside, CA? For Data Mining jobs in Riverside, CA, the most frequently searched job titles are:
What job categories do people searching Data Mining jobs in Riverside, CA look for? The top searched job categories for Data Mining jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Data Mining jobs? Cities near Riverside, CA with the most Data Mining job openings:
Data Mining jobs near you
Infographic showing various Data Mining job openings in Riverside, CA as of June 2026, with employment types broken down into 97% Full Time, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $73,028 per year, or $35.1 per hour.
Schedule Engineer

Schedule Engineer

Whiting-Turner Contracting Company

Irvine, CA • On-site

Full-time

Retirement

Posted 7 days ago

Job description

Job Description
The Whiting-Turner Contracting Company is an Equal Opportunity Employer, including the disabled and veterans.
Job Description
  • Supporting Whiting-Turner Schedule Manager with group and project specific responsibilities
  • Development of pursuit and proposal schedules
  • Development of master project schedules
  • Development of detailed construction schedules
  • Data entry of activities, durations, and sequences (predecessors / successors) into Primavera
  • Schedule development is done in Oracle Primavera scheduling software (training provided by Whiting-Turner)
  • The potential candidate will also be expected to become familiar with other schedule software platforms
  • Schedule management and controls
  • Schedule updating process - collecting progress and incorporating into scheduling software
  • Reporting - Preparing schedule update reports and graphics per Contract requirements
  • Schedule analysis
    • Developing and analyzing the impact issues have on the project schedule
    • Collecting scheduling metrics and creating spreadsheets / data bases to interpret and visualize the data
  • Technical Review - Reviewing the project schedule's quality and performance (health)
  • 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 maintaining the cost information through the updating process
  • Management of Whiting-Turner's schedule database and Primavera software
  • If the potential candidate is assigned to a project site, they will have the following responsibilities in addition to those listed above
  • Attending project meetings - WT, Owner, Subcontractor
  • Walking the project site to independently confirm the project team's assessment of progress and completion of schedule activities
  • Collecting information from lean scheduling meetings and using the information to update the CPM

Required Skills
Basic Qualifications
1. College Degree:
  • Construction Management or Engineering (civil, industrial, mechanical, construction)

2. Course Work:
  • In addition to the standard classes to support the engineering discipline, the following are recommended (but will not automatically disqualify a candidate if not taken)
  • Class in either estimating or scheduling
  • Alternatively, a general construction management class with exposure to estimating or scheduling
  • An industrial engineering process class (for industrial engineers)

3. Experience:
  • Any exposure to construction or manufacturing is recommended. 0 - 10 years of experience
  • Experience can be as an intern or as summer employment working for a general contractor or construction manager
  • Working for a trade contractor (carpenter, electrician, ...) helping to install the work
  • Scheduling experience or participation in the construction scheduling process is helpful for the position but does not disqualify a candidate
  • Internships in a non-construction related field will be considered if the candidate expresses a solid interest working in the construction industry.
  • Summer classes and school related summer work are acceptable

4. Interests - Professional (do not need to have interest in all):
  • Construction and participating in the building process
  • Scheduling and project controls
  • Information systems and data analytics
  • Business intelligence and visualizations
  • Risk analysis
  • Emerging technology for construction application

5. Software Experience:
  • CPM schedule software experience (Primavera P6 is a bonus)
  • Typical MS Office suite of programs - Word, Excel, PowerPoint
  • Collaborative platforms like MS Teams, Google Hang-Out, Zoom, Go-To (any other video conferencing)
  • Other pluses: Database management

Travel
  • Day trips to support project teams within the assigned operating group
  • 12 - 24 month assignments to a single project, either
  • Within the employees assigned operating group's region, or
  • For an opportunity, outside the operating group's region, the operating group leader believes is beneficial for the employee's growth and development

This job application routes to following locations:
    • Irvine
    • Temecula
    • Los Angeles

The Company's salary ranges are dependent on a number of factors including but not limited to role, level and location. Individual pay is determined through interviews and an assessment of various factors, including but not limited to job-related skills, relevant education and experience, applicant's abilities and market and business considerations. The annual base salary range listed is subject to change at any time, in the Company's discretion, and does not alter in any way the at-will nature of the employment relationship. The foregoing information reflects base salary only and does not include other forms of available compensation to which employees may be entitled including but not limited to profit sharing, stock appreciation rights, retirement compensation, travel subsistence, and other compensations/benefits, which are dependent upon various factors including but not limited to years of service, location, performance, etc.
This salary range is for California only.

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