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Remote Statistical Process Control Jobs in California

Senior Data Modeling Analyst - Remote

Costa Mesa, CA ยท On-site +1

$92K - $116K/yr

Build statistical and machine learning models through all phases of development, from design ... Help develop analytic and data products and services, and the enhancement of current processes and ...

Senior Data Modeling Analyst - Remote

Costa Mesa, CA ยท On-site +1

$92K - $116K/yr

Build statistical and machine learning models through all phases of development, from design ... Help develop analytic and data products and services, and the enhancement of current processes and ...

NFL Data Scientist

San Francisco, CA ยท On-site +1

$140K/yr

... is remote from the USA. Duties: * Ideate, develop and improve machine learning and statistical ... Experience with source control tools such as GitHub and related CI/CD processes * Experience ...

Process Development Sr Associate

Thousand Oaks, CA ยท On-site +1

$96K - $119K/yr

... Design of experiments and statistical analysis of data and programming in JMP, R, or ... Flexible work models, including remote and hybrid work arrangements, where possible Apply now and ...

Tennis Data Scientist

San Francisco, CA ยท On-site +1

$135K - $190K/yr

... is remote from the USA. Duties: * Ideate, develop and improve machine learning and statistical ... Experience with source control tools such as GitHub and related CI/CD processes * Experience ...

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Remote Statistical Process Control information

What is the difference between Remote Statistical Process Control vs Remote Quality Analyst?

AspectRemote Statistical Process ControlRemote Quality Analyst
CredentialsStatistical certifications, engineering backgroundQuality assurance certifications, analytical skills
Work EnvironmentManufacturing, production settings, data analysisQuality departments, inspection, testing environments
Industry UsageManufacturing, industrial sectorsHealthcare, manufacturing, service industries
Job FocusMonitoring and controlling processes using statistical methodsEnsuring product quality and compliance

Remote Statistical Process Control specialists focus on analyzing manufacturing data to optimize processes, while Remote Quality Analysts concentrate on maintaining product quality standards. Both roles require analytical skills and industry knowledge but differ in their primary objectives and work environments.

What is Remote Statistical Process Control?

Remote Statistical Process Control (SPC) refers to the use of statistical methods and software to monitor, control, and improve manufacturing or business processes from a remote location. By collecting and analyzing data in real time, SPC professionals can detect variations, identify trends, and recommend corrective actions without being physically present at the production site. This approach helps organizations maintain product quality, reduce defects, and improve efficiency, especially in environments where on-site monitoring is not feasible. Remote SPC often involves the use of cloud-based tools and secure data transmission to ensure effective oversight.

How does a Remote Statistical Process Control specialist typically collaborate with on-site teams to ensure process quality?

Remote Statistical Process Control (SPC) specialists frequently work with on-site production and quality teams through virtual meetings, shared dashboards, and collaborative data analysis tools. They provide actionable insights by monitoring real-time process data, identifying trends or anomalies, and recommending corrective actions. Effective communication is crucial, as remote SPC specialists must clearly convey findings and support implementation of process improvements. Regular coordination ensures that remote oversight aligns with on-site operational goals and compliance requirements.

What are the key skills and qualifications needed to thrive as a Remote Statistical Process Control Specialist, and why are they important?

To thrive as a Remote Statistical Process Control Specialist, you need strong analytical skills, a solid understanding of statistics, and experience in quality assurance, often supported by a degree in engineering, mathematics, or a related field. Proficiency with statistical software tools like Minitab, JMP, or SPC modules within ERP systems, as well as familiarity with Six Sigma or similar certifications, is typically required. Attention to detail, problem-solving, and effective remote communication are essential soft skills for interpreting data trends and collaborating with distributed teams. These skills ensure accurate process monitoring, timely quality improvements, and efficient coordination, which are critical for maintaining manufacturing standards remotely.
What are popular job titles related to Remote Statistical Process Control jobs in California? For Remote Statistical Process Control jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Statistical Process Control jobs in California look for? The top searched job categories for Remote Statistical Process Control jobs in California are:
What cities in California are hiring for Remote Statistical Process Control jobs? Cities in California with the most Remote Statistical Process Control job openings:

Senior Data Modeling Analyst - Remote

Experian

Costa Mesa, CA โ€ข On-site, Remote

$92K - $116K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 20 days ago


Job description

Company Description

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more. Experian invests in people and new advanced technologies to unlock the power of data. We have an amazing team of 25,200 people in 32 countries.

Job Description

You'll have opportunity to:

  • Independently deliver analytical projects across the consumer credit lifecycle, including acquisition, account management and collections
  • Build statistical and machine learning models through all phases of development, from design through training, evaluation, validation and implementation
  • Use a broad set of technologies: SQL, PySpark, Python, AWS and more to obtain insights from large volumes of data
  • Design and improve acquisition strategies, including segmentation, decision rules, and cut-off strategies
  • Translate findings into applicable business recommendations for partners
  • Collaborate with internal and external clients to determine the appropriate analysis parameters and performance measures to be applied, as well as requirements for decision tool and strategy implementation and monitoring.
  • Interpret results of analyses, identify trends and issues and recommend alternatives to support our goals.
  • Communicate with and deliver presentations to end-users on analysis results.
  • Produce implementation plans and participate in audits to help implement statistical models and other decision tools.
  • Help develop analytic and data products and services, and the enhancement of current processes and offerings.
Qualifications
  • Bachelor's degree in Computer Science, Data Science, Mathematics, Statistics, or a related quantitative field
  • 8+ years' experience with statistical and quantitative analysis, Machine Learning, Statistical Modeling including large-scale data manipulation in Credit Lending industry
  • Proficiency in Python (required) and SQL, with experience building scalable pipelines
  • Knowledge of statistical models and practical experience in predictive model development (Python, R, SAS).
  • Domain experience in financial services, with exposure to credit lending, credit risk modeling, and credit decisioning lifecycle (e.g., origination, underwriting, limit setting, portfolio monitoring)
  • Experience with model deployment and productionization, including CI/CD pipelines, version control, and integration of models into scalable, real-time or batch decisioning systems
  • Experience joining large datasets from multiple data sources, creating complex logic for data cleaning, outlier detecting, and refining business rules to validate and monitor the model forecast
  • Experience solving complex and unique problems

Additional Information

Our uniqueness is that we celebrate yours. Experian's people first, inclusive and purpose driven culture is multi award-winning; World's Best Workplacesโ„ข 2025 (Fortune Global Top 25), Great Place To Workโ„ข in 26 countries to name a few. Check out Experian Life on social or explore our Careers Site to understand why.

Our compensation reflects the cost of labor across several U.S. geographic markets. The base pay range for this position is listed above. Within this range, individual pay is determined by work location and additional factors such as job-related skills, experience, and education. You will be also eligible for a variable pay opportunity.

Experian is proud to be an Equal Opportunity Employer for all groups protected under applicable federal, state and local law, including protected veterans and individuals with disabilities. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

Benefits/Perks:

  • Great compensation package and bonus plan
  • Core benefits including medical, dental, vision, and matching 401K
  • Flexible work environment, ability to work remote, hybrid or in-office
  • Flexible time off including volunteer time off, vacation, sick and 12-paid holidays
  • Explore all our exciting benefits here: https://myexperianbenefits.com/