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Remote Co Op Computer Science Jobs in Santa Clara, CA

BrightAI

Senior Computer Vision/AI Engineer

Palo Alto, CA · Remote

$123.20K - $169.10K/yr

PhD in Electrical Eng., Computer Science, or a related field with a focus on ML/AI for Computer ... Applied experience in CV for surveillance, physical-world perception problems, remote sensing, or ...

Pathway

Spontaneous Application

Palo Alto, CA · On-site +1

Pathway is led by co-founder & CEO Zuzanna Stamirowska, a complexity scientist who created a team ... Remote work. Possibility to work or meet with other team members in one of our offices: Palo Alto ...

Element Science

Principal Software Engineer

Redwood City, CA · On-site +1

$165.30K - $221.60K/yr

Candidates located outside of the Bay Area may be considered for a remote arrangement, if able and ... S. in Computer Science, Engineering, or equivalent. * 8-12 years minimum of relevant industry ...

NextSense

Senior ML/Research Scientist

Mountain View, CA · On-site +1

$116.10K - $148K/yr

... computer science, electrical engineering, or related fields/experience * Strong Python programming ... Mountain View, CA (not a remote position) Employment Eligibility: At this time NextSense is only ...

Apex Systems

Data Scientist 1

Fremont, CA · On-site +1

Have a remote spot that can fall in the scientist or analyst realm with heavy work in Microsoft ... Bachelor's degree in Data Science, Computer Science, Information Systems, Analytics or a related ...

Info Way Solutions

Teamcenter Solution Architect.

Cupertino, CA · Remote

$77.75 - $102.50/hr

Austin, Texas or Cupertino ,California Remote will be allowed on a case basis. Required Qualifications: * Bachelor's or Master's degree in Engineering, Computer Science, or related field. * 10+ years ...

Axiom Cloud

Software Engineer (Fully Remote)

San Jose, CA · On-site +1

SOFTWARE ENGINEER Remote (Pacific Hours) axiomcloud.ai 510-683-5200 Axiom Cloud is transforming how ... Bachelors in Computer Science, Engineering, or a related field. * 3+ years of professional software ...

Applied Intuition

Software Engineer - C++

Sunnyvale, CA · On-site +1

$125K - $222K/yr

Learn more at applied.co. We are an in-office company, and our expectation is that employees ... Bachelor's in Computer Science, Mathematics, or related field. * 1+ years of experience in shipping ...

Element Science Inc

Principal Software Engineer

Redwood City, CA · On-site +1

$165.30K - $221.60K/yr

Candidates located outside of the Bay Area may be considered for a remote arrangement, if able and ... S. in Computer Science, Engineering, or equivalent. * 8-12 years minimum of relevant industry ...

MatX

ASIC/SOC CAD Engineer

Mountain View, CA · On-site +1

$175K - $362.50K/yr

Bachelor of Science in Electrical Engineering or equivalent * Minimum 8 years of industry ... Remote Perks We work remotely Monday & Friday, supported by home-tech setup, and remote wifi ...

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Remote Co Op Computer Science information

What are the key skills and qualifications needed to thrive as a Remote Co-Op Computer Science student, and why are they important?

To thrive as a Remote Co-Op Computer Science student, you need a solid grasp of programming fundamentals, data structures, algorithms, and typically be pursuing or have completed coursework toward a computer science degree. Familiarity with version control systems like Git, collaborative platforms such as GitHub or Jira, and exposure to coding languages like Python, Java, or C++ are commonly expected. Strong communication, self-motivation, and time management are essential soft skills for remote teamwork and independent learning. These skills ensure you can effectively contribute to projects, adapt to remote workflows, and maximize your experiential learning.

How do Remote Co-Op Computer Science roles typically facilitate mentorship and team collaboration despite the virtual setting?

Remote Co-Op Computer Science positions often leverage various collaboration tools such as Slack, Microsoft Teams, and Zoom to foster communication and mentorship. You'll participate in regular virtual stand-ups, code reviews, and project meetings, ensuring you stay connected with your team and receive guidance from senior engineers. Many companies assign a dedicated mentor or buddy to help you navigate both technical challenges and company culture. This structure allows you to build relationships, gain feedback, and make meaningful contributions without being onsite.

What is a Remote Co-Op in Computer Science?

A Remote Co-Op in Computer Science is a paid or unpaid work placement that allows students to gain real-world experience in their field while working from a location outside the traditional office, such as their home. These positions are typically part of a college or university's cooperative education program, blending academic learning with practical work experience. Students work on software development, data analysis, or IT projects under the supervision of professionals, helping them build technical skills and professional networks. Remote Co-Ops offer flexibility and can connect students with companies outside their local area, broadening their career opportunities.

What is the difference between Remote Co Op Computer Science vs Remote Software Intern?

AspectRemote Co Op Computer ScienceRemote Software Intern
CredentialsTypically enrolled in a computer science program, may require coursework or enrollment verificationUsually students pursuing a degree in computer science or related field, may need proof of enrollment
Work EnvironmentRemote, collaborative team settings, often part-time during academic termsRemote, project-based tasks, often part-time or summer internships
Employer & Industry UsageUsed by tech companies, startups, and corporations for student talent pipelinesCommonly offered by tech firms, startups, and software companies for skill development

Both roles are designed for students gaining practical experience in computer science. The main difference lies in the stage of education and the program structure: Co Op positions are typically part of a formal cooperative education program, while Software Internships are often summer or short-term roles. Both provide valuable industry exposure and skill development in remote settings.

What are popular job titles related to Remote Co Op Computer Science jobs in Santa Clara, CA? For Remote Co Op Computer Science jobs in Santa Clara, CA, the most frequently searched job titles are:
What job categories do people searching Remote Co Op Computer Science jobs in Santa Clara, CA look for? The top searched job categories for Remote Co Op Computer Science jobs in Santa Clara, CA are:
What cities near Santa Clara, CA are hiring for Remote Co Op Computer Science jobs? Cities near Santa Clara, CA with the most Remote Co Op Computer Science job openings:
Remote Co Op Computer Science jobs near you

Credit Strategy Data Scientist

Global Placement Firm

San Jose, CA • Remote

Other

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

Job description

About the job Credit Strategy Data Scientist
Credit Strategy Data Scientist
Location: Remote (U.S.-based candidates only) - 12 month contract
Full-Time | MidSenior Level | No Visa Sponsorship or Relocation
Overview
A fast-growing financial services organization is seeking a Credit Strategy Data Scientist to join its high-performing Credit Risk Strategy team. This is an exciting opportunity for a data-savvy professional with fintech or payments industry experience to help drive business-critical decisions through advanced analytics, predictive modeling, and risk mitigation strategies.
You will work on end-to-end development of data-driven credit solutionspartnering closely with cross-functional stakeholders to design, execute, and refine credit strategies that support responsible growth and customer success.
What Youll Do

  • Design and implement data-driven rules to detect and mitigate credit
    losses
  • Investigate complex and high-impact risk cases and identify root causes
  • Set and refine credit risk strategies across various risk categories
  • Collaborate with product and engineering teams to enhance risk control capabilities
  • Lead the development of dashboards, visualizations, and reports to track credit KPIs
  • Present data-backed recommendations to stakeholders and executives
  • Use large-scale datasets to uncover patterns and drive risk optimization
  • Work with RaaS platforms to analyze loss trends and apply strategic adjustments
Must-Have Qualifications
  • Bachelors degree in Computer Science, Engineering, Mathematics, Statistics, Data Mining, or a related field (or equivalent practical experience)
  • 2+ years of hands-on experience in risk analytics, data science, or data analysispreferably within fintech or online payments
  • Proficiency in SQL, Python, and Excel, including core data science libraries
  • Proven ability to work with large datasets and derive actionable insights
  • Experience developing and communicating dashboards and visualizations (e.g. Tableau)
  • Strong communication skills and ability to translate complex analysis to diverse audiences
  • Demonstrated data-driven decision-making and solution development
Preferred Skills & Experience
  • Experience applying data science to credit risk and loss mitigation problems
  • Familiarity with AWS, payment rule systems, or credit product lifecycles
  • Strong project management skills and ability to drive analytics from concept to execution
  • Comfortable working in fast-paced, ambiguous environments with shifting priorities
Expected Outcomes (6-12 Months)
  • Design and deployment of credit strategies based on emerging loss trends
  • Creation of performance dashboards and tools to monitor KPIs and credit risk health
  • Collaboration with product and engineering teams to implement real-time credit decisioning
  • Delivery of presentations and reports to support strategic decisions at all levels
Key Competencies
  • Data Analytics & Visualization
  • Credit Rule Development
  • Strategic Communication
  • Cross-Functional Collaboration
  • Project Ownership & Execution
Interview Process
  • At-home screening assignment
  • Technical interview with senior team member
  • Final panel interview with hiring manager and team

Team Size: 5 members
Work Style: Close collaboration with senior data scientists initially, with room for independent ownership over time.
Focus Area: Reporting, visualization, and strategy design
This is a high-impact role at the intersection of data science, risk management, and business strategyperfect for professionals passionate about leveraging data to drive innovation in financial services.
Apply now to help shape the future of responsible credit risk management.

Apply