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Remote Data Mapping Jobs in California (NOW HIRING)

Python Integrations Developer

San Francisco, CA · Remote

$59.25 - $81.50/hr

API troubleshooting skills - ability to diagnose auth failures, data mapping issues, rate limiting ... Remote-first culture * Opportunity to grow with a scaling fintech company * Direct impact on client ...

Python Integrations Developer

San Francisco, CA · Remote

$59.25 - $81.50/hr

API troubleshooting skills - ability to diagnose auth failures, data mapping issues, rate limiting ... Remote-first culture * Opportunity to grow with a scaling fintech company * Direct impact on client ...

We are looking for a spatial thinker with a passion for remote sensing analysis and visual ... Experience with web mapping and/or interactive web storytelling Application Deadline: October 6, ...

GIS Specialist

Sacramento, CA · On-site +1

$40 - $50/hr

California, Remote/Virtual Travel: Travel up to 10% Compensation: This pay band reflects Chloeta ... Perform quality assurance and quality control (QA/QC) on spatial data, maps, and database updates.

$23 - $27/hr

COMPENSATION: $23.00 to $27.00 an hour LOCATION: 50%-75% Remote Position. Must be a resident of ... Production of maps, manifests, and various reports for planner contractors * Analysis of the ...

Develop, edit, and maintain GIS maps, graphics, and tabular data products using ESRI software ... Work Location Remote work is available; however, remote employees must: * Reside within 50 miles of ...

Showing results 21-40

Remote Data Mapping information

What skills are needed for remote data mapping?

Remote data mapping requires strong analytical skills, attention to detail, and proficiency with data management tools such as Excel, SQL, or specialized mapping software. Good communication skills and the ability to work independently are also important for coordinating with teams and understanding data requirements.

What is the difference between Remote Data Mapping vs Remote Data Analyst?

AspectRemote Data MappingRemote Data Analyst
Required CredentialsData mapping certifications, data management skillsData analysis certifications, statistical skills
Work EnvironmentPrimarily technical, focusing on data structure and integrationAnalytical, interpreting data to generate insights
Employer & Industry UsageTech companies, data integration firmsBusiness, finance, marketing sectors
Common Search & ComparisonYesYes

Remote Data Mapping involves structuring and linking data sources, focusing on technical data organization. Remote Data Analysts interpret data to provide insights, often using statistical tools. While both roles work remotely and require data-related skills, Data Mapping emphasizes technical data structuring, whereas Data Analysis centers on data interpretation and reporting.

What are the most commonly searched types of Data Mapping jobs in California? The most popular types of Data Mapping jobs in California are:
What job categories do people searching Remote Data Mapping jobs in California look for? The top searched job categories for Remote Data Mapping jobs in California are:
What cities in California are hiring for Remote Data Mapping jobs? Cities in California with the most Remote Data Mapping job openings:
Infographic showing various Remote Data Mapping job openings in California as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 8% Part Time, and 7% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution.

Senior Data Scientist, Innovation Lab - Remote

Experian

San Marcos, CA • Remote

$153K - $275K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 21 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

Experian Innovation Lab is a research and development unit at Experian formed with the desire to work in collaboration with Experian\'s departments to enhance relationships with clients and acquire strategic datasets. Experian® is a global leader in providing information, analytical tools and marketing services to organizations and consumers to help manage the risk and reward of commercial and financial decisions. Using our comprehensive understanding of individuals, markets and economies, we help organizations develop customer relationships to make their businesses more profitable.

As a Senior Data Scientist at the Experian Innovation Lab, your role will be to research and develop analytical solutions, prototype new products, and evaluate data assets. You must bring an experience in predictive modeling, machine learning, and deep learning to this position. You will report into the Sr. Principal Data Scientist

You\'ll have opportunity to:

  • Create advanced machine learning analytical solutions to extract insights from diverse structured and unstructured data sources.
  • Unearth data value by selecting and applying the right machine learning, deep learning and processing techniques.
  • Refine data manipulation and retrieval through the design of efficient data structures and storage solutions.
  • Innovate with tools designed for data processing and information retrieval.
  • Dissect and document vast datasets, analyzing them to highlight patterns and insights.
  • Solve complex challenges by developing impactful algorithms.
  • Ensure model excellence by validating performance scores and analyzing Return on investment and benefits.
Qualifications
  • PhD degree in Machine Learning, Data Science, AI, Computer Science, or a related quantitative field.
  • 2+ years of experience in AI, data science, or predictive modeling
  • Proficiency in multiple programming languages, including Python
  • Experience in deep learning (CNN, RNN, LSTM, attention models), machine learning methodologies (SVM, GLM, boosting, random forest), graph models, or reinforcement learning.
  • Experience with open-source tools for deep learning and machine learning technology such as pytorch, Keras, tensorflow, scikit-learn, pandas.
  • Experience with large data analysis using pySpark
  • Experience with LLMs and the relevant tools in the Generative AI domain.
  • Experience with Hadoop and NoSQL related technologies such as Map Reduce, Hive, HBase, mongoDB, Cassandra.
  • Experience modifying and applying advanced algorithms to address practical problems
  • Experience with online, mobile marketing analytics
  • Experience with GPU programming
Additional Information

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://yourexperianbenefits.com/cand-index.html

Our uniqueness is that we celebrate yours. Experian\'s people first, inclusive and purpose driven culture is multi award-winning; World\'s Best Workplaces™ 2025 (Fortune Global Top 25), Great Place To Work™ 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. This position is also eligible for a variable pay opportunity and a comprehensive benefits package.

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.

Recruitment Fraud Awareness - Experian\'s recruitment process is conducted only through authorised channels. Recruitment communications will only be sent from an @experian.com email address. Experian will never ask candidates to make any payment as part of an application, interview, assessment, onboarding, or recruitment process. To apply for roles or verify opportunities, please visit experian.com/careers..

#LI-Remote

  • Employee Status: Regular
  • Role Type: Home
  • Job Posting - Salary Range: $153,075 - $275,535
  • Department: Analytics
  • Flexible Time Off: 20 Days
  • Schedule: Full Time
  • Shift: Day Shift
  • Compensation: USD 153075 - USD 275535 - yearly