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Human Resource Mining Jobs in San Ramon, CA (NOW HIRING)

(USA) Staff, Data Scientist

Sunnyvale, CA · On-site

$143K - $286K/yr

Strong expertise in data mining, machine learning, statistical analysis, and deep learning. * Proficiency in Python and experience with open-source machine learning and data science frameworks.

(USA) Staff, Data Scientist

Hayward, CA · On-site

$143K - $286K/yr

Strong expertise in data mining, machine learning, statistical analysis, and deep learning. * Proficiency in Python and experience with open-source machine learning and data science frameworks.

(USA) Staff, Data Scientist

San Mateo, CA · On-site

$143K - $286K/yr

Strong expertise in data mining, machine learning, statistical analysis, and deep learning. * Proficiency in Python and experience with open-source machine learning and data science frameworks.

(USA) Staff, Data Scientist

Fremont, CA · On-site

$143K - $286K/yr

Strong expertise in data mining, machine learning, statistical analysis, and deep learning. * Proficiency in Python and experience with open-source machine learning and data science frameworks.

(USA) Staff, Data Scientist

San Jose, CA · On-site

$143K - $286K/yr

Strong expertise in data mining, machine learning, statistical analysis, and deep learning. * Proficiency in Python and experience with open-source machine learning and data science frameworks.

(USA) Staff, Data Scientist

Milpitas, CA · On-site

$143K - $286K/yr

Strong expertise in data mining, machine learning, statistical analysis, and deep learning. * Proficiency in Python and experience with open-source machine learning and data science frameworks.

Manufacturing Engineer

Newark, CA · On-site

$70K - $85K/yr

Nefab saves environmental and financial resources by optimizing supply chains. We do this by ... Provide focused & effective leadership in eliminating EH&S/Ergonomics/Human Factors risks. * Able ...

... mining, and transport. Our systems are designed to understand, predict, and control the real world ... Process & Systems: Experience improving benefits processes and working with HRIS or benefits ...

... mining, and transport. Our systems are designed to understand, predict, and control the real world ... Own the Workday and ADP architecture, with Workday as the system of record for data aggregation, HR ...

Global Benefits Manager

San Francisco, CA · On-site

$140K - $160K/yr

... mining, and transport. Our systems are designed to understand, predict, and control the real world ... Process & Systems: Experience improving benefits processes and working with HRIS or benefits ...

Senior Payroll Director

San Francisco, CA · On-site

$223K - $262K/yr

... mining, and transport. Our systems are designed to understand, predict, and control the real world ... Own the Workday and ADP architecture, with Workday as the system of record for data aggregation, HR ...

Senior Payroll Director

San Francisco, CA · On-site

$223K - $262K/yr

... mining, and transport. Our systems are designed to understand, predict, and control the real world ... Own the Workday and ADP architecture, with Workday as the system of record for data aggregation, HR ...

Showing results 41-60

Human Resource Mining information

See San Ramon, CA salary details

$29.6K

$49.4K

$67.1K

How much do human resource mining jobs pay per year?

As of Sep 4, 2026, the average yearly pay for human resource mining in San Ramon, CA is $49,444.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,900.00 and $53,600.00 per year, depending on experience, location, and employer.

What is human resource mining?

Human Resource Mining refers to the process of using data analysis and mining techniques to extract valuable insights from HR data. This can include analyzing employee performance, turnover, recruitment, and engagement to support data-driven decision making in human resource management. By leveraging HR mining, organizations can identify trends, predict workforce needs, and improve overall organizational effectiveness. It often involves the use of specialized software and advanced analytics to interpret large volumes of HR data.

What are the key skills and qualifications needed to thrive as a human resource mining specialist?

To thrive as a Human Resource Mining Specialist, you need a solid background in data analysis, human resources practices, and a relevant degree such as HR, analytics, or business. Familiarity with HRIS systems, data mining tools (like Python, R, or SQL), and HR analytics platforms is typically required. Excellent communication, critical thinking, and problem-solving skills help you translate complex data insights into actionable HR strategies. These skills are essential for driving data-informed HR decisions that improve talent management, optimize workforce planning, and support organizational goals.

What are some of the main challenges faced by professionals working in human resource mining, and how can they be addressed?

Professionals in human resource mining often encounter challenges related to managing and analyzing large volumes of employee data while ensuring privacy and compliance with regulations. Another common challenge is integrating insights from data mining into practical HR strategies that align with organizational goals. To address these issues, it is important to stay updated on data privacy laws, use reputable HR analytics tools, and foster collaboration between HR, IT, and data science teams. Continuous training and clear communication can also help bridge the gap between technical and HR functions.

What is the difference between Human Resource Mining vs Human Resources Coordinator?

AspectHuman Resource MiningHuman Resources Coordinator
Required CredentialsBachelor's degree in HR, data analysis skillsBachelor's degree in HR or related field, communication skills
Work EnvironmentData-driven, analytical, often in HR or data teamsOffice setting, employee interaction, administrative tasks
Employer & Industry UsageUsed in organizations focusing on talent analytics and data miningCommon in HR departments for employee management
Search & Comparison IntentUnderstanding data-driven HR rolesHR administrative and coordination roles

Human Resource Mining focuses on analyzing HR data to uncover insights, requiring data analysis skills and a background in HR. Human Resources Coordinators handle employee relations, administrative tasks, and coordination within HR teams. While both roles are within HR, HR Mining is more analytical and data-focused, whereas HR Coordinators are more involved in daily employee management and administrative duties.

What are popular job titles related to Human Resource Mining jobs in San Ramon, CA?

For Human Resource Mining jobs in San Ramon, CA, the most frequently searched job titles are:

What cities near San Ramon, CA are hiring for Human Resource Mining jobs?

Cities near San Ramon, CA with the most Human Resource Mining job openings:

Infographic showing various Human Resource Mining job openings in San Ramon, CA as of July 2026, with employment types broken down into 1% As Needed, 77% Full Time, 18% Part Time, 1% Temporary, and 3% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $49,444 per year, or $23.8 per hour.

(USA) Staff, Data Scientist

Walmart

Sunnyvale, CA • On-site

$143K - $286K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 17 days ago


Walmart rating

6.0

Company rating: 6.0 out of 10

Based on 22,601 frontline employees who took The Breakroom Quiz

25th of 39 rated national retailers


Job description

Position Summary... What you'll do...Role Summary As a Staff Data Scientist at Walmart, you will leverage advanced analytics and machine learning techniques to transform complex data into actionable business insights. This role requires expertise in data strategy, model development, and data visualization to support decision-making across multiple business domains. You will collaborate with cross-functional teams to identify data sources, validate models, and deploy scalable solutions that drive measurable business value. Your contributions will strengthen data-driven strategies, ensure alignment with business objectives, and promote best practices in analytics and data science while mentoring associates. About the Team Join the Fraud and Risk Detection Data Science team at Walmart Global Tech, where you will collaborate with data scientists, engineers, product managers, and business professionals. This cross-functional team operates at the intersection of data science, big data, IT infrastructure, and business operations. Team members leverage advanced machine learning, deep learning, and optimization techniques to develop scalable predictive models and analytics solutions. The team works with large volumes of business and customer data generated across Walmart's online and offline commerce platforms, driving impactful insights and innovations that support critical decision-making and enhance operational effectiveness across the organization. What You'll Do
  • Perform hands-on data exploration, processing, and analysis on large-scale datasets.
  • Apply machine learning, deep learning, and data mining techniques to develop robust predictive models for eCommerce fraud detection, financial services fraud detection, anomaly detection, and abusive returns.
  • Extract and analyze data from data warehouses and cloud platforms; perform feature engineering, back-test models, evaluate model performance, and present findings and recommendations to stakeholders.
  • Research, develop, and implement state-of-the-art algorithms that address complex business challenges.
  • Partner with cross-functional teams to deploy scalable, production-ready data science solutions.
What You'll Bring
  • Strong expertise in data mining, machine learning, statistical analysis, and deep learning.
  • Proficiency in Python and experience with open-source machine learning and data science frameworks.
  • Experience working with large datasets using distributed computing platforms such as BigQuery, Hive, or Spark.
  • Experience working in cloud environments, including Google Cloud Platform (GCP) or Microsoft Azure.
  • Familiarity with AI agents and practical AI-driven applications.
  • Strong database and querying skills, including BigQuery, Hive, and SQL.
  • Programming experience in Python, Java, or JavaScript.
  • Advanced degree in a STEM field (Master's or PhD preferred) and at least five years of relevant industry experience.
  • Ability to thrive in a fast-paced environment and communicate effectively with both technical and non-technical stakeholders.

At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more. You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. For information about PTO, see https://one.walmart.com/notices. Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.
For information about benefits and eligibility, see One.Walmart.
The annual salary range for this position is $143,000.00 - $286,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :
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Minimum Qualifications...

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field. Option 3: 6 years' experience in an analytics or related field Preferred Qualifications...

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch), We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture. Primary Location... 815 Eleventh Ave, Sunnyvale, CA 94089-4731, United States of America Walmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.

What Walmart employees say

Pay

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Hours and flexibility

Workplace

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About Walmart

Sourced by ZipRecruiter

From our humble beginnings as a small discount retailer in Rogers, Ark., Walmart has opened thousands of stores in the U.S. and expanded internationally. Through innovation, we're creating a seamless experience to let customers shop anytime and anywhere online and in stores. We are creating opportunities and bringing value to customers and communities around the globe. Walmart operates approximately 10,500 stores and clubs in 19 countries and eCommerce websites. We employ 2.1 million associates around the world — nearly 1.6 million in the U.S. alone.

Industry

Retail and transportation and warehousing

Company size

10,000+ Employees

Headquarters location

Bentonville, AR, US

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