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Remote Data Science Jobs in Riverside, CA (NOW HIRING)

Head of Fraud Operations

Santa Ana, CA · On-site +1

$139K - $200K/yr

For remote roles, and at our discretion, candidates may be asked to participate in an on-site ... Data Science on models; and builds the team, tooling, SLAs, and metrics that hold fraud losses down ...

Experience working in matrixed environments, across multiple teams of marketing managers, data scientists and analysts in remote or hybrid environments. Why work for #teamloanDepot : * Aggressive ...

Director, Marketing Analytics

Irvine, CA · On-site +1

$104K - $170K/yr

Experience working in matrixed environments, across multiple teams of marketing managers, data scientists and analysts in remote or hybrid environments. Why work for #teamloanDepot : * Aggressive ...

Director, Marketing Analytics

Irvine, CA · On-site +1

$104K - $170K/yr

Experience working in matrixed environments, across multiple teams of marketing managers, data scientists and analysts in remote or hybrid environments. Why work for #teamloanDepot : * Aggressive ...

Director, Marketing Analytics

Irvine, CA · On-site +1

$104K - $170K/yr

Experience working in matrixed environments, across multiple teams of marketing managers, data scientists and analysts in remote or hybrid environments. Why work for #teamloanDepot : * Aggressive ...

Director, Marketing Analytics

Irvine, CA · On-site +1

$104K - $170K/yr

Experience working in matrixed environments, across multiple teams of marketing managers, data scientists and analysts in remote or hybrid environments. Why work for #teamloanDepot : * Aggressive ...

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Remote Data Science information

See Riverside, CA salary details

$23.7K

$105.5K

$201.3K

How much do remote data science jobs pay per year?

As of Jul 12, 2026, the average yearly pay for remote data science in Riverside, CA is $105,494.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,493.00 and $146,323.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Data Scientist, and why are they important?

To thrive as a Remote Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid background in mathematics or computer science, often supported by a relevant degree. Expertise in programming languages such as Python or R, familiarity with machine learning libraries, and experience with cloud-based data platforms are typically required. Excellent communication, self-motivation, and time management skills help you effectively collaborate and deliver results in a remote environment. These skills ensure accurate data analysis, meaningful insights, and successful teamwork despite physical distance.

How do remote data scientists typically collaborate with cross-functional teams to deliver insights?

Remote data scientists often work closely with product managers, engineers, and business analysts using digital collaboration tools such as Slack, Zoom, and project management platforms. Regular virtual meetings, code sharing via Git repositories, and clear documentation are essential to ensure alignment and transparency. While working remotely can present challenges in communication, proactive updates and scheduled syncs help foster strong teamwork and keep projects on track.

Can I work remotely in data science?

Yes, data science is a field that often offers remote work opportunities. Many companies hire data scientists to work remotely, requiring skills in programming, data analysis, and tools like Python or R. Remote data science roles typically involve collaboration through online platforms and may require strong communication skills.

What is remote data science?

Remote data science refers to the practice of performing data analysis, modeling, and interpretation tasks from a location outside of a traditional office, such as from home or a co-working space. Remote data scientists use tools like Python, R, and SQL to analyze data, build predictive models, and communicate insights to stakeholders, all while collaborating virtually with their teams. This setup offers flexibility and can increase access to global job opportunities, but also requires strong self-motivation and communication skills to be effective.

Can a data scientist work fully remote?

Yes, many data scientists work fully remote, especially in companies that prioritize flexible work arrangements. Remote data science roles often require strong communication skills, proficiency with collaboration tools, and the ability to work independently on projects using programming languages like Python or R. However, some positions may require occasional in-person meetings or on-site presence depending on company policies.

Is 40 too late for data science?

Remote data science roles are open to candidates of various ages, and starting a career at 40 is possible with relevant skills in programming, statistics, and machine learning. Many professionals transition into data science later in life by gaining certifications and building portfolios, making age less of a barrier in this field.

What Are the Qualifications to Get a Remote Data Science Job?

The qualifications for a remote data scientist depend in large part on your employer and their industry. Most employers expect remote data science professionals to have at least a bachelor’s degree in statistics, math, computer science, or a related field. Some expect postgraduate degrees in a field like data mining or machine learning or demonstrable skills in these areas. As a remote worker, you need access to relevant programs and an internet connection. You may also want to pursue certification, such as becoming a Certified Analytics Professional (CAP).

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

AspectRemote Data ScienceRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; programming skills in Python/R; knowledge of machine learningDegree in Statistics, Mathematics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams, research-focused, often involves building models and algorithmsData reporting, visualization, and interpreting data trends for decision-making
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, retail, finance, healthcare

Remote Data Science involves developing predictive models and advanced analytics, requiring programming and machine learning skills. Remote Data Analysts focus on interpreting data, creating reports, and visualizations. While both roles analyze data remotely, Data Scientists typically handle more complex modeling tasks, whereas Data Analysts focus on data interpretation and reporting.

How can I make $100,000 a year working from home?

Remote data scientists can earn $100,000 or more annually by gaining advanced skills in machine learning, programming languages like Python or R, and data visualization tools. Building a strong portfolio, obtaining relevant certifications, and gaining experience in high-demand industries can help achieve this income level while working remotely.
What are the most commonly searched types of Data Science jobs in Riverside, CA? The most popular types of Data Science jobs in Riverside, CA are:
What are popular job titles related to Remote Data Science jobs in Riverside, CA? For Remote Data Science jobs in Riverside, CA, the most frequently searched job titles are:
What job categories do people searching Remote Data Science jobs in Riverside, CA look for? The top searched job categories for Remote Data Science jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Remote Data Science jobs? Cities near Riverside, CA with the most Remote Data Science job openings:

Head of Fraud Operations

Collectorsuniverse

Santa Ana, CA • On-site, Remote

$139K - $200K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 6 days ago


Job description

Collectors is the leading creator of innovative technology that provides value-added services for collectors worldwide. We grade, authenticate, vault, and sell millions of record-setting collectibles, all while modernizing and digitalizing the process to further our mission of helping collectors pursue their passions. We're always on the lookout for talented people to join our growing team.


Our services span collectible trading cards, autographs, comic books, coins, video games, event tickets, and memorabilia. Our subsidiaries include PSA, PCGS, Beckett, SGC, and Card Ladder.


Since our founding in 1986, we have graded and authenticated millions of items. We employ more than 3000 people across our headquarters in Santa Ana, California and offices in New Jersey, Texas, Florida, Japan, Shanghai, Hong Kong, Canada, Mexico, Germany, and France.


As part of our interview process, we request that candidates have their cameras on during video interviews. This helps foster meaningful conversation and allows us to create an experience that closely resembles our standard working environment. Certain interview steps may take place by phone. For remote roles, and at our discretion, candidates may be asked to participate in an on-site interview as part of the final stages of the process.


We understand there may be occasional circumstances requiring accommodation and are happy to discuss them as needed. Your recruiter will be able to clarify expectations and answer any questions you have.


The Head of Fraud Operations runs the operational engine of fraud prevention across Collectors' Marketplace, Power Packs, and emerging Financial Services lending business. This senior leader owns real-time and manual-review decisioning, fraud investigations, and AML alert operations; tunes rules and partners with Data Science on models; and builds the team, tooling, SLAs, and metrics that hold fraud losses down without imposing undue customer friction. The role manages a team, reports to the Head of Risk & Compliance, and works closely with Disputes Operations on fraud-related chargebacks and with Trust & Safety on enforcement.

What You'll Do

Fraud Detection & Decisioning Operations

  • Day-to-day operations. Own real-time decisioning, manual-review queues, and case management across Marketplace, Power Packs, and lending.

  • Rules & model performance. Monitor rules and ML-model performance, recommend and implement rule and threshold changes, and partner with Data Science / Risk Strategy on tuning and retraining.

  • Queue & SLA health. Manage review-queue health, decision SLAs, and analyst productivity and quality.

Investigations & Response

  • Multi-typology investigations. Lead investigations into payment fraud, account takeover, seller / listing fraud, counterfeit and authenticity abuse, collusion and shill activity, promotion abuse, and laundering of value through high-worth collectibles.

  • Account-takeover response. Own ATO and account-security operations - detection, containment, recovery, and customer remediation.

  • Cross-team handoffs. Partner with Disputes Operations on fraud-driven chargebacks and with Trust & Safety on enforcement and offboarding.

AML/KYC Operations

  • Alert operations. Run KYC / CIP review, transaction-monitoring alert disposition, and sanctions / OFAC screening for the lending business and marketplace.

  • SAR support. Prepare and support suspicious-activity reporting and maintain investigation documentation to AML and audit standards.

Tools, Vendors & Reporting

  • Tooling & signals. Manage fraud, identity, and device-intelligence tooling and vendors; evaluate and onboard new signals and platforms.

  • Metrics & continuous improvement. Define and report fraud loss rate, false-positive / decline rate, detection rate, review SLA, and recovery; drive continuous improvement against targets.

  • Team building. Build, lead, and develop the fraud-operations team; scale headcount and managed-services support in line with volume growth.

Who You Are:

Required Qualifications

  • 7+ years in fraud operations or fraud investigations, including leadership of analysts or teams.

  • Hands-on experience with fraud-detection systems (rules engines, ML-based decisioning), case management, and manual review at scale.

  • Strong command of fraud typologies in payments and marketplace settings - account takeover, payment fraud, and seller fraud in particular.

  • Working knowledge of AML / KYC operations and the SAR process.

  • Data fluency: able to analyze fraud trends and translate them into rule and threshold changes; comfortable with SQL and dashboards.

Preferred Qualifications

  • High-volume, high-AOV consumer marketplace or fintech / lending fraud experience.

  • Certifications such as CFE (fraud) or CAMS (AML).

  • Experience standing up or materially scaling a fraud-operations function.

  • Familiarity with collectibles / authenticity fraud or abuse of chance-based products.

    Salary Range: The salary range for this position is $139,641 - $200,711. Actual compensation on this range varies based on a variety of non-discriminatory factors, including location, job level, experience, and skill set. This role may be eligible for bonuses, commissions, or other forms of compensation, please ask your recruiter for details.

    Reasons To Join Us:

    • Health Insurance: All full-time employees are eligible to enroll in Medical, Dental, and Vision

    • Additional Benefits: Full-time employees are eligible for fertility, commuter, and educational assistance benefits

    • 401(K) Matching Plan: We are proud to offer a competitive 401k matching plan to our employees to support their future financial goals

    • Vacation: All salaried employees are eligible for flexible time-off

    • Holiday Pay: All regular, full-time employees are eligible for ten company paid holidays

    • Employee Discounts: Employees receive discounts on select grading services for approved submissions

    • Flexible Hours: Many of our teams offer flexible schedules with varying shifts and will work with you to accommodate your needs

    • Fun Working Environment: Our team members are invited to participate in celebrations, holiday events, and team building activities

    Candidates must be authorized to work in the United States.


    Collectors uses e-Verify to validate your ability to work legally in the United States.


    We are aware that there are instances where individuals are receiving job offers that fraudulently allege to be from Collectors or one of our business units. This type of fraud can be carried out through false websites, through fake e-mails claiming to be from the company or through social media. We never ask for personal information such as your bank account, Social Security numbers or National IDs, nor do we send or request payments for the purchase of business-related equipment. If you suspect fraud, please reach out to people@collectors.com.


    We are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, national origin, gender, sex, gender identity or expression, sexual orientation, age, citizenship, marital or parental status, disability, veteran status, or other class protected by applicable law. We believe that a team that represents a variety of backgrounds, perspectives, and skills will better service the diverse community of collectors we support.


    If you require an accommodation to apply or interview with us due to a disability or special need, please email people@collectors.com.


    U.S. residents: for disclosures relating to personal information we collect during the employment application and recruitment process, please see our Privacy Notice for U.S. Applicants.


    If you are based in California, you can read information for California residents here.