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Remote Psychology Computer Science Jobs in California

Remote Role Responsibilities * Contribute subject matter expertise to a cutting-edge project ... and Data Science , AI / ML Research , Computer Science , Game Development , or Mechanical ...

Data Scientist, Mid

San Diego, CA · On-site +1

$61K - $141K/yr

Master's degree in an Analytical or Engineering field, such as Computer Science, Data Science ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

Bachelor's degree in Computer Science, a related field or equivalent experience This position is not eligible for relocation assistance. #LI-REMOTE #LI-NM4

Remote (U.S.) Duration: 12-Month Contract (High Potential for Extension) Schedule: Full-Time (40 ... Bachelor's degree in Computer Science, Data Engineering, Bioinformatics, or a related technical ...

Showing results 41-60

Remote Psychology Computer Science information

What is the difference between Remote Psychology Computer Science vs Remote Data Science?

AspectRemote Psychology Computer ScienceRemote Data Science
Required CredentialsBachelor's or Master's in Psychology, Computer Science, or related fields; certifications in data analysis or programmingBachelor's or Master's in Data Science, Statistics, Computer Science; certifications in data analysis, machine learning
Work EnvironmentRemote, often in healthcare, research, or tech companiesRemote, in tech firms, finance, healthcare, or consulting
Employer & Industry UsageUniversities, research institutions, healthcare providers, tech companiesTech companies, finance, healthcare, consulting firms
Common Search & ComparisonYesYes

Remote Psychology Computer Science involves applying psychological principles with computer science skills, often in research or healthcare tech. Remote Data Science focuses on analyzing data to inform business decisions, requiring strong statistical and programming skills. While both roles are remote and tech-oriented, they serve different industries and require distinct expertise.

What are popular job titles related to Remote Psychology Computer Science jobs in California? For Remote Psychology Computer Science jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Psychology Computer Science jobs in California look for? The top searched job categories for Remote Psychology Computer Science jobs in California are:
What cities in California are hiring for Remote Psychology Computer Science jobs? Cities in California with the most Remote Psychology Computer Science job openings:

Senior Data Scientist, Innovation Lab - Remote

Experian

San Marcos, CA • Remote

$153K - $275K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 18 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