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Remote Masters Computer Science Jobs in Milpitas, 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 ...

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 ...

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 ...

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Remote Masters Computer Science information

What are the key skills and qualifications needed to thrive as a Remote Masters in Computer Science graduate, and why are they important?

To thrive as a Remote Masters in Computer Science graduate, you need advanced knowledge in algorithms, data structures, programming languages, and a relevant master's degree. Familiarity with software development tools, cloud platforms, version control systems, and certifications in areas like AWS or machine learning are highly valued. Strong analytical thinking, problem-solving abilities, and effective remote communication skills set exceptional candidates apart. These competencies are crucial for tackling complex technical challenges and collaborating efficiently in distributed teams.

What are some common challenges faced by students in a remote Master's in Computer Science program, and how can they be overcome?

Students pursuing a remote Master's in Computer Science often face challenges such as staying motivated without in-person interaction, managing time effectively, and collaborating with peers on group projects. To overcome these, it's important to establish a structured daily routine, actively participate in virtual study groups, and utilize online collaboration tools like GitHub or Slack. Many programs also offer virtual office hours and mentoring, so taking advantage of these resources can greatly enhance your learning experience and help you stay connected with both faculty and classmates.

What is a Remote Masters in Computer Science?

A Remote Masters in Computer Science is a graduate-level degree program that is completed entirely online, allowing students to study from anywhere without needing to attend classes on campus. These programs typically cover advanced topics in computer science such as algorithms, artificial intelligence, machine learning, cybersecurity, and software engineering. Students interact with professors and peers through virtual classrooms, discussion forums, and online assignments. Many remote programs offer flexible schedules, making them ideal for working professionals or those with other commitments. Graduates of remote masters programs receive the same degree as their on-campus counterparts and can pursue careers in academia, research, or the tech industry.
What job categories do people searching Remote Masters Computer Science jobs in Milpitas, CA look for? The top searched job categories for Remote Masters Computer Science jobs in Milpitas, CA are:
What cities near Milpitas, CA are hiring for Remote Masters Computer Science jobs? Cities near Milpitas, CA with the most Remote Masters Computer Science job openings:
Remote Masters Computer Science jobs near you
Infographic showing various Remote Masters Computer Science job openings in Milpitas, CA as of May 2026, with employment types broken down into 71% Full Time, and 29% Part Time. Highlights an 100% Remote job distribution.

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