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Data Mining Jobs in California (NOW HIRING)

Responsibilities : • Developing predictive models in the area of marketing • Understanding business problems and translating it into data mining problems • Applying techniques such as ...

Responsibilities : • Developing predictive models in the area of marketing • Understanding business problems and translating it into data mining problems • Applying techniques such as ...

Typical responsibilities include applying data mining, modeling, natural language processing, and machine learning methods to analyze large structured and unstructured datasets; visualizing ...

Data Scientist III

San Diego, CA · On-site

$125K - $207K/yr

Typical responsibilities include applying data mining, modeling, natural language processing, and machine learning methods to analyze large structured and unstructured datasets; visualizing ...

Data Scientist

Sunnyvale, CA · On-site

$130K - $160K/yr

Use data mining and machine learning techniques to develop robust models in areas such as segmentation and profiling, churn assessment, customer loyalty prediction, retention analysis, and product ...

Skill Agile, Civil, Database, Data Mining, Developer, Development, Java, Lifecycle, Linux, Management, MyS Location Cupertino, CA Total Experience 6 yrs. Max Salary Not Mentioned Employment Type ...

Responsibilities : • Apply data mining, modeling, NLP, and machine learning to large datasets • Visualize, interpret, and report data findings • Create dynamic and automated reporting products ...

Data Engineer with Java & Scala

San Jose, CA · On-site

$134K - $161K/yr

... Data mining, Data analysis Data mining, Data analysis Secondary Skills Data mining, Data analysis Responsibilities Gather and process raw data at scale (including writing scripts, web scraping ...

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Data Mining information

See California salary details

$50.3K

$69.1K

$87.8K

How much do data mining jobs pay per year?

As of Aug 3, 2026, the average yearly pay for data mining in California is $69,083.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,300.00 and $83,900.00 per year, depending on experience, location, and employer.

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?

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.

What are the key skills and qualifications needed to thrive in data mining, 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 the most commonly searched types of Data Mining jobs in California? The most popular types of Data Mining jobs in California are:
What job categories do people searching Data Mining jobs in California look for? The top searched job categories for Data Mining jobs in California are:
What cities in California are hiring for Data Mining jobs? Cities in California with the most Data Mining job openings:
Infographic showing various Data Mining job openings in California as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $69,083 per year, or $33.2 per hour.

Data Scientist

Mindlance

San Francisco, CA • On-site

Full-time

Re-posted 3 days ago


Job description

Job Summary:
Mindlance is a national recruiting company which partners with many of the leading employers across the country. They are seeking a Data Scientist to develop predictive models in marketing, understand business problems, and apply advanced analytic techniques to improve campaign performance and content quality.
Responsibilities:
• Developing predictive models in the area of marketing
• Understanding business problems and translating it into data mining problems
• Applying techniques such as clustering, classification and association
• Web analytics, Data mining techniques application for large data.
• The key personnel shall also demonstrate experience using advanced analytic techniques such as modern econometric methods, multivariate statistical analysis, clustering and segmentation, experimental design, optimization and text analytics.
• Predictive models to improve advertiser campaign performance
• Machine learning models for categorizing web pages and content
• Fraud detection & automated ranking content quality
Qualifications:
Required:
• Gurobi Optimization
• Developing predictive models in the area of marketing
• Understanding business problems and translating it into data mining problems
• Applying techniques such as clustering, classification and association
• Web analytics, Data mining techniques application for large data
• Experience using advanced analytic techniques such as modern econometric methods, multivariate statistical analysis, clustering and segmentation, experimental design, optimization and text analytics
• Predictive models to improve advertiser campaign performance
• Machine learning models for categorizing web pages and content
• Fraud detection & automated ranking content quality
Company:
Mindlance is a Staffing and Recruiting company which provides multi-vertical staffing services Founded in 1999, the company is headquartered in Union, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

Mindlance logo

About Mindlance

Sourced by ZipRecruiter

Mindlance is a multinational staffing and services firm based in the Greater NYC area. We have 14 offices across the United States, Canada, and India. We match talented people to Fortune 500 and Fortune 1000 companies across industries. We have been in business since 1999 and are recognized by Staffing Industry Analysts (SIA) as one of the fastest-growing U.S. staffing firms. Our rapid growth means more jobs, more projects, and more opportunities for you. Our core philosophy means that you work with an organization that truly values and recognizes you.

Industry

Recruiting and staffing services

Company size

1,001 - 5,000 Employees

Headquarters location

Union, NJ, US

Year founded

1999