2

Remote Data Mining Jobs in California (NOW HIRING)

Pricing Analyst

Whittier, CA · Remote

$75K - $97K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This is a remote position based in CA. SUMMARY: The Pricing Analyst is responsible for supporting ... Strong analytical skills; modeling skills include data mining, and excel formulas and manipulating ...

Geospatial Technical Specialist

Riverside, CA · On-site +1

$83K - $166K/yr

  • Retirement

  • PTO

This position is remote (with the ability to be in a BKF office when necessary). Essential Duties ... data mining systems; configure and maintain database library; ensure data integrity during ...

Showing results 41-60

Remote Data Mining information

See California salary details

$45.4K

$162.9K

$240.3K

How much do remote data mining jobs pay per year?

As of Aug 18, 2026, the average yearly pay for remote data mining in California is $162,857.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,800.00 and $167,800.00 per year, depending on experience, location, and employer.

What is remote data mining?

A Remote Data Mining job involves extracting, processing, and analyzing large datasets to uncover patterns, trends, and insights—all while working from a remote location. Professionals in this field use statistical methods, machine learning techniques, and specialized software to transform raw data into actionable insights. These roles are common in industries like finance, marketing, healthcare, and e-commerce, where data-driven decision-making is essential. Remote data miners typically collaborate with teams via digital communication tools and may need proficiency in programming languages like Python or R.

What skills and qualifications are needed for remote data mining?

To thrive as a Remote Data Mining professional, you need strong analytical abilities, statistical knowledge, proficiency in programming languages such as Python or R, and a background in computer science, data science, or a related field. Expertise in data mining tools like SQL, RapidMiner, or Weka and familiarity with data visualization platforms are highly valued, and certifications in data analytics can be advantageous. Attention to detail, problem-solving skills, and effective communication are important soft skills for collaborating remotely and presenting insights to stakeholders. These skills enable you to extract valuable patterns and insights from large datasets while working independently and aligning with organizational goals.

What are common challenges faced by remote data mining professionals, and how can they be addressed?

Remote data mining professionals often encounter challenges such as managing large and complex datasets, ensuring data privacy, and maintaining effective communication with distributed teams. Addressing these challenges typically involves leveraging secure cloud storage solutions, utilizing robust data analysis tools, and adopting clear documentation and regular virtual meetings to stay aligned on project goals. Additionally, building strong time management habits and being proactive in seeking feedback from team members can help remote data miners stay productive and engaged. Most organizations provide access to collaboration platforms and training to help overcome these obstacles, ensuring a supportive and efficient remote work environment.

How do you become a remote data mining?

To become a remote data miner, you typically need a strong foundation in data analysis, statistics, and programming languages such as Python or R. Gaining experience with data mining tools, databases, and machine learning techniques, along with relevant certifications or degrees, can improve your chances of securing a remote position in this field.

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 cities in California are hiring for Remote Data Mining jobs?

Cities in California with the most Remote Data Mining job openings:

Infographic showing various Remote Data Mining job openings in California as of August 2026, with employment types broken down into 5% Internship, 90% Full Time, and 5% Part Time. Highlights an 100% Remote job distribution, with an average salary of $162,857 per year, or $78.3 per hour.

Graduate 2026 PhD Software Engineer II (AV Labs), United States

Uber Technologies, Inc.

Sunnyvale, CA • On-site, Remote

Full-time

Retirement

This job post has expired today. Applications are no longer accepted.


Uber rating

6.8

Company rating: 6.8 out of 10

Based on 115 frontline employees who took The Breakroom Quiz

4th of 9 rated taxi private hire


Job description

Uber is launching AV Labs to accelerate the autonomous technology ecosystem. We're building out a high-velocity team of multi-disciplinary experts to turn real-world operations into high-quality data for our autonomous partners. This team is focused on the hardest problem in AV today: unlocking real-world, long-tail driving data. Autonomy is now a data race-and Uber has an edge: We collect rare, real-world driving data at a scale and capital efficiency no one else can match.

As a PhD Software Engineer II, you will be at the forefront of Physical AI, building advanced autonomy algorithms to add rich semantics to our massive driving data. You will be responsible for the development and implementation of the latest autonomy techniques that enables better data mining, deep scene understanding, and causal modeling of ego vehicle behavior.The ideal candidate will be able to identify complex edge cases, provide robust algorithmic solutions, and set a high technical excellence bar.

What you'll do

  • Algorithm Development: Develop algorithms that extract high-fidelity semantic meaning from complex urban edge cases to enrich our L4 data lake.
  • System Design: Architect onboard systems, including management of upstream sensor dependencies and evaluation metrics for the stack.
  • Dataset Optimization: Define the requirements for high-quality large evaluation datasets and objective metrics to evaluate the performance of the system..
  • Cross-Functional Collaboration: Partner with platform, product, and security engineering teams to enable the successful deployment of the latest machine learning techniques into production.

Basic Qualifications

  • Completing or recently completed a PhD in Computer Science, Mathematics, Physics, Computer Vision, Fluid Mechanics, Aerospace Engineering, or a related technical field

Preferred Qualifications

  • Experience in the Autonomous Driving domain
  • Proven track record of deploying algorithms in safety-critical physical systems
  • Knowledge of game theory
  • Experience with control and optimization theory as part of the course of study
  • Proficient in C++ and Linux environments

Ready to Ride?


This isn't the kind of place where you follow a playbook - it's where you help write one. If you're driven by impact, energized by challenge, and ready to shape how the world moves - we'd love to hear from you.


You may be eligible for bonuses, equity, and other compensation, as well as a range of benefits. Explore our benefits.


Offices remain key to collaboration and Uber's culture. Unless approved for full remote work, employees must spend at least 50% of their time in-office. Some roles, like those at greenlight hubs, require full-time in-office presence. Ask your Recruiter for details about this role's requirements.


Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

For Sunnyvale, CA-based roles: The base salary range for this role is USD $171,000 per year - USD $190,000 per year.

You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits.


What Uber employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom