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Data Mining Intern Jobs in California (NOW HIRING)

Apple Inc.

Machine Learning Engineer- GenAI

San Diego, CA · On-site

$150.40 - $277.60/hr

Minimum Qualifications * 3+ years experience in GenAI applications, machine learning algorithms, software engineering, and data mining models with an emphasis on large language models (LLM) or large ...

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Data Mining Intern information

What does a data mining intern do?

A Data Mining Intern assists in collecting, cleaning, and analyzing large sets of data to uncover useful patterns and insights. They work under the supervision of data scientists or analysts and often use programming languages like Python or R, as well as tools such as SQL and data visualization software. Their responsibilities may include preparing data for analysis, running experiments, and presenting findings to help inform business decisions. This internship provides hands-on experience in the field and helps interns develop technical and analytical skills.

What skills and qualifications are needed to be a data mining intern?

To thrive as a Data Mining Intern, you need foundational knowledge in statistics, data analysis, and programming languages such as Python or R, typically supported by coursework or a degree in computer science or a related field. Familiarity with data mining tools like SQL, RapidMiner, or Weka, and experience with databases and data visualization platforms, is often required. Strong analytical thinking, attention to detail, and effective communication skills help you interpret findings and present results clearly. These skills are vital for extracting actionable insights from data and contributing value to data-driven projects.

What types of projects can a data mining intern expect to work on?

As a Data Mining Intern, you can expect to work on projects involving large datasets, where your main tasks may include data cleaning, data exploration, and applying machine learning algorithms to uncover patterns or trends. Interns often collaborate closely with data scientists and analysts, contributing to real business problems such as customer segmentation, predictive analytics, or anomaly detection. You'll likely use tools like Python, R, and SQL, and get hands-on experience with data visualization and presentation of findings. This exposure helps build valuable technical and teamwork skills while offering insight into the practical challenges of working with real-world data.

What is the difference between Data Mining Intern vs Data Analyst Intern?

AspectData Mining InternData Analyst Intern
Required CredentialsTypically pursuing or recent graduate in Data Science, Computer Science, or related fieldsOften pursuing or recent graduate in Statistics, Mathematics, or related fields
Work EnvironmentHands-on with data extraction, cleaning, and preliminary analysis, often using SQL, Python, or RFocuses on data interpretation, visualization, and reporting using tools like Excel, Tableau, or Power BI
Industry UsageCommon in tech, finance, and research sectors for data preparation tasksWidespread across various industries for business insights and decision-making

While both roles involve working with data, a Data Mining Intern primarily focuses on extracting and preparing data for analysis, whereas a Data Analyst Intern emphasizes interpreting data and creating reports. Understanding these differences helps in choosing the right internship based on your skills and career goals.

What are the most commonly searched types of Data Mining jobs in California?

The most popular types of Data Mining jobs in California are:

What are popular job titles related to Data Mining Intern jobs in California?

For Data Mining Intern jobs in California, the most frequently searched job titles are:

What job categories do people searching Data Mining Intern jobs in California look for?

The top searched job categories for Data Mining Intern jobs in California are:

What cities in California are hiring for Data Mining Intern jobs?

Cities in California with the most Data Mining Intern job openings:

Data Mining Intern jobs near you
Infographic showing various Data Mining Intern job openings in California as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Schedule Engineer

The Whiting-Turner Contracting Company

Irvine, CA • On-site

Other

Retirement

Re-posted 29 days ago

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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