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Temporary Machine Learning R Jobs in Fontana, CA

PHS Bio-Medical Services

Business Analyst I

Ontario, CA · On-site

$70K - $99K/yr

... for machine learning and AI model consumption, ensuring consistent definitions, governance ... Benefits may vary based on employment status, i.e. full-time, part-time, per diem or temporary. A ...

PHS Bio-Medical Services

Business Analyst I

Ontario, CA

$66K - $95K/yr

... for machine learning and AI model consumption, ensuring consistent definitions, governance ... Benefits may vary based on employment status, i.e. full-time, part-time, per diem or temporary. A ...

Prime Healthcare

Business Analyst I

Ontario, CA

$70K - $99K/yr

... for machine learning and AI model consumption, ensuring consistent definitions, governance ... Benefits may vary based on employment status, i.e. full-time, part-time, per diem or temporary. A ...

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Showing results 21-40

All JobsMachine Learning R JobsTemporary Machine Learning R JobsTemporary Machine Learning R Jobs in Fontana, CA

Temporary Machine Learning R information

See Fontana, CA salary details

$25.9K

$43.3K

$89.5K

How much do temporary machine learning r jobs pay per year?

As of Aug 20, 2026, the average yearly pay for temporary machine learning r in Fontana, CA is $43,292.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,000.00 and $46,800.00 per year, depending on experience, location, and employer.

What is the difference between Temporary Machine Learning R vs Data Analyst?

AspectTemporary Machine Learning RData Analyst
Required SkillsProficiency in R, machine learning algorithms, statistical modelingData visualization, SQL, basic statistical analysis
Work EnvironmentProject-based, technical teams, research-focusedBusiness units, reporting, data cleaning
CertificationsR programming, data science certificationsNone specific, often business or analytics certifications

Temporary Machine Learning R roles focus on developing predictive models using R and machine learning techniques, often in research or technical environments. Data Analysts typically handle data cleaning, visualization, and reporting for business insights. While both roles require analytical skills, Temporary Machine Learning R positions demand specialized knowledge in machine learning and R programming, making them more technical and research-oriented.

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For Temporary Machine Learning R jobs in Fontana, CA, the most frequently searched job titles are:

What job categories do people searching Temporary Machine Learning R jobs in Fontana, CA look for?

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Cities near Fontana, CA with the most Temporary Machine Learning R job openings:

Temporary Machine Learning R jobs near you
Infographic showing various Temporary Machine Learning R job openings in Fontana, CA as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 22% Part Time, and 1% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $43,292 per year, or $20.8 per hour.

Senior Data Scientist Advisor

Thomson Reuters Markets Espana SL.

Pomona, CA • On-site

Other

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

Job description

Join the Clean Energy Revolution

Become aSenior Data Scientist Advisor at Southern California Edison (SCE) and build a better tomorrow. In this job, you’ll be responsible for advancing AI-powered vegetation management by driving the development and refinement of AI models that interpret complex remote sensing data. In addition to remote sensing-focused initiatives, the role will also contribute specialized data science expertise to broader vegetation management projects. By solving highly technical challenges, this role directly enables a more efficient and proactive approach to managing vegetation risk and protecting critical infrastructure.

As a Senior Data Scientist Advisor, your work will help power our planet, reduce carbon emissions and create cleaner air for everyone. Are you ready to take on the challenge to help us build the future?

Responsibilities
  • Partners with stakeholders to understand business problems and objectives and translate them into data science solutions, providing thought leadership and creativity in solving unconventional problems.
  • Leads and provides direction to other analytic teams across the organization, spearheads development of highly complex predictive and prescriptive models to drive data insights.
  • Defines new data collection sources and methods and makes strategic recommendations for data practices (collection, preparation, quality).
  • Establishes standards and identifies techniques to solve data quality and integrity problems.
  • Leads development and maintenance of models, tools and methods for highly complex analytics problems.
  • Engages business OUs to solve critical issues and identify optimization opportunities, performs sophisticated analytics and translates into actionable insights.
  • Applies machine learning concepts and authors production-level code to provide innovative ideas and research to improve decision making.
  • Identifies opportunities to apply data science and predictive analytics to help solve the most critical business challenges.
  • Establishes scalable, automated processes for large-scale data analysis, modeling, validation and
  • Implementation.
  • Leverages relationships with data science individuals at other utilities and vendors and participate and present in relevant industry forums and groups to promote SCE's approach.
  • A material job duty of all positions within the Company is ensuring the protection of all its physical, financial and cybersecurity assets, and properly accessing and managing private customer data, proprietary information, confidential medical records, and other types of highly sensitive information and data with the highest standards of conduct and integrity.
Minimum Qualifications
  • Bachelor's Degree (or higher) in a quantitative discipline such as Computer Science, Electrical Engineering, Statistics, Mathematics, or Business Analytics.
  • Seven or more years of experience in data analytics related work. *PhD in Computer Science, Electrical Engineering, Statistics, Mathematics, business analytics = 2 years of experience credit.

Preferred Qualifications

  • Master’s or Ph.D. degree in computer science, statistics, mathematics, engineering, or a closely related science and engineering field.
  • Five or more years hands-on experience working in data science roles, including experience with machine learning algorithms, statistical modeling, and big data platforms.
  • Hands-on experiences with languages like Python, R, and SQL, as well as knowledge of cloud computing environments (e.g., AWS, Azure, Google Cloud), and familiarity with data visualization tools like Tableau or Power BI.
  • Experience evaluating and deploying artificial intelligence solutions into business processes.
  • Experience with LiDAR data, processing and modeling.
  • Strong executive communication skills, including building concise narratives and presenting insights to senior leadership; experience communicating to both technical and non-technical audiences).

Additional Information

  • This position’s work mode is hybrid. The employee will report to an SCE facility for a set number of days with the option to work remotely on the remaining days. Unless otherwise noted, employees are required to work and reside in the state of California. Further details of this work mode will be discussed at the interview stage. The work mode can be changed based on business needs.
  • Visit our Candidate Resource page to get meaningful information related to benefits, perks, resources, testing information, hiring process, and more!
  • Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
  • The primary work location for this position is Pomona, CA. However, the successful candidate may also be asked to work for an extended amount of time at (alternate work location).
  • Position will require up to 10% local traveling and being out in the field throughout the SCE service territory.
  • This position has been identified as a NERC/CIP impacted position - Prior to being hired, the successful candidate must pass a Personnel Risk Assessment (PRA) or Background Investigation. Once hired, the candidate must complete specified training prior to gaining un-escorted access to assigned work location and performing necessary job duties.
  • Relocation may apply to this position.

About Southern California Edison

The people at SCE don't just keep the lights on. Our mission is so much bigger. We’re fueling the kind of innovation that’s changing an entire industry, and quite possibly the planet. Join us and create a future with cleaner energy, while providing our customers with the safety and reliability they demand. At SCE, you’ll have a chance to grow personally and professionally, making a real impact in Southern California and around the world.

Southern California Edison is a proud Equal Opportunity Employer, including disability and protected veteran status.

We are committed to ensuring that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodations at (833) 343-0727.

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