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Data Mining Jobs in Riverside, CA (NOW HIRING)

Hireblazer

Senior Data Scientist

Irvine, CA · On-site

Propose innovative solutions using data mining, statistical analysis, and machine learning. Support business needs related to analytics, predictive modeling, and business intelligence. Collaborate ...

VSolvit

DATA SCIENTIST II

Norco, CA · On-site

$115K - $130K/yr

Use statistical methods, data mining, and machine learning to uncover trends and patterns within the data * Prepare reports and presentations that effectively communicate your findings to both ...

Kforce Technology Staffing

Senior Data Engineer

Anaheim, CA · On-site

$111K - $150K/yr

Minimum 4 years of hands-on experience with ETL\Data Integration, BI, data mining and modeling * Experience in implementing a data architecture with separation between storage and compute preferred

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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 Jul 9, 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.

What does a data miner do?

A data miner analyzes large datasets to identify patterns, trends, and useful information that can support decision-making. They use tools like SQL, Python, or specialized software to extract and interpret data, often working in environments that require strong analytical and technical skills. Data mining is essential in fields like marketing, finance, and healthcare for uncovering insights and improving strategies.

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.

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.

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 July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $73,028 per year, or $35.1 per hour.

Service drive sales / Data mining sales associate

Toyota of Hemet

Hemet, CA • On-site

$15.75 - $21/hr

Full-time

Posted 16 days ago

Job description

Job Type
Full-time
Description
We are seeking an energetic, enthusiastic, and professional Sales Associate to join our team. This position focuses on generating sales opportunities by prospecting a large customer database and engaging daily service drive guests. The ideal candidate thrives in a fast-paced environment, enjoys customer interaction, and is comfortable performing high-volume outreach across multiple communication channels.
Key Responsibilities:
  • Prospect, communicate with, and follow up on 100-200 customer leads per day via email, text, and phone.
  • Engage 100+ daily service drive guests in the service drive and service lounge.
  • Identify upgrade, trade-in, and purchase opportunities through service interactions.
  • Utilize data mining tools such as Automotive Mastermind, DealerSocket, and CRM platforms to uncover active sales opportunities.
  • Perform quick and accurate trade appraisals using vAuto or similar appraisal tools.
  • Maintain accurate notes, follow-up schedules, and customer profiles in the CRM.
  • Work closely with sales managers and the service department to maximize conversions.
  • Meet or exceed daily, weekly, and monthly activity and opportunity goals.

Requirements
  • Prior automotive sales, BDC, or service drive experience preferred.
  • Proven ability to manage high-volume prospecting (100-200 contacts per day).
  • Comfortable greeting and engaging large numbers of daily service guests.
  • Proficiency with data mining tools (Automotive Mastermind, DealerSocket, etc.).
  • Experience with vehicle appraisal tools such as vAuto.
  • Strong verbal, written, and interpersonal communication skills.
  • High energy, enthusiastic personality, and customer-focused mindset.
  • Strong time management, organization, and follow-through abilities.
  • Ability to multitask and perform effectively in a fast-paced environment.
  • Self-motivated with a desire to achieve and exceed goals.

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