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Remote Amazon Computer Science Jobs in Charleston, WV

Bachelor's degree in Engineering, Computer Science, or related field * Minimum 5+ years of ... 100% Remote role with the availability to travel up to 30% * Qualified applicants must be ...

United States (Remote) Onsite/Remote: Fully Remote (Preference for Pacific Time; Central Time ... Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience ...

CHICAGO, IL OR REMOTE EverforthTopBloc is a Workday boutique partner firm that provides fixed-time ... Bachelor's degree, preferable in Human Resources, Computer Science, Accounting/Finance, Computer ...

... remote/WFH) with extensive experience in Siemens Opcenter Core and Camstar implementations for ... A bachelor's degree in computer science, computer engineering, or a related discipline is required ...

Engineer II, Data

Charleston, WV · Remote

$108K - $125K/yr

Bachelor's degree in Computer Science, Computer Engineering or related field, may be substituted ... Remote First, Remote Only Culture * Four weeks paid time off yearly (prorated based on start date ...

Sr. Credit Risk Analyst

Charleston, WV · Remote

$129K - $161K/yr

Bachelors or Masters degree in Business, Statistics, Mathematics, Computer Science, Engineering or ... Whether you are working from our San Francisco or Phoenix offices or joining us as a fully remote ...

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Remote Amazon Computer Science information

What is a remote Amazon computer science job?

Remote Amazon computer science jobs are roles at Amazon that allow professionals to work from locations outside of Amazon offices, focusing on computer science domains such as software development, data engineering, machine learning, and cloud computing. These positions typically require strong technical skills in programming, algorithms, and systems design, and they often support Amazon’s various products and services from a virtual setting. Remote roles offer flexibility while still enabling collaboration with global teams and contributing to large-scale projects. Candidates usually need a degree in computer science or a related field and relevant work experience.

Is Amazon still offering remote jobs?

Amazon continues to offer remote jobs, including roles in software development, customer service, and operations. These positions often require skills in cloud computing, programming, or data analysis and may be available in various regions depending on the role and company policies.

How do remote Amazon computer science professionals typically collaborate with their teams across different time zones?

Remote Amazon Computer Science professionals often work with colleagues spread across various regions, which requires strong communication and time management skills. Teams commonly use tools like Amazon Chime, Slack, and project management platforms to coordinate meetings, share updates, and track progress asynchronously. Flexibility in scheduling and clear documentation are crucial to ensure everyone stays informed and aligned, and regular virtual stand-ups or check-ins help maintain team cohesion. Despite the remote setting, Amazon fosters a collaborative environment where engineers support each other's growth and problem-solving.

Does Amazon allow fully remote work?

Amazon offers remote work options for many roles, including those in computer science and software development. The availability of fully remote positions varies by job and team, with some roles requiring in-office presence or hybrid arrangements. Candidates should review specific job postings for remote work policies and requirements.

What are the key skills and qualifications needed to thrive as a remote Amazon computer science professional, and why are they important?

To thrive as a Remote Amazon Computer Science professional, you typically need a strong background in computer science fundamentals, programming (such as Java, Python, or C++), and a relevant degree or equivalent experience. Familiarity with cloud computing platforms like AWS, software development tools, and version control systems such as Git is essential. Strong problem-solving, self-motivation, and effective communication are key soft skills for collaborating remotely and driving projects forward. These skills and qualities are critical for delivering scalable, high-quality solutions while working independently within Amazon's dynamic and distributed teams.

Does Amazon hire computer science majors?

Yes, Amazon hires computer science majors for a variety of roles including software development, data engineering, and technical program management. Candidates typically need strong programming skills in languages like Java, Python, or C++, along with knowledge of cloud services such as AWS.

Can I work remotely with a remote amazon computer science degree?

A remote Amazon computer science degree can qualify you for remote roles in software development, data analysis, and technical support at Amazon or other companies. Many tech jobs value relevant skills, certifications, and experience, making remote work feasible if you meet the job requirements and have a suitable home office setup.

What is the difference between Remote Amazon Computer Science vs Remote Amazon Software Development?

AspectRemote Amazon Computer ScienceRemote Amazon Software Development
Required CredentialsBachelor's in Computer Science or related field, possibly some certificationsBachelor's in Computer Science or related field, often with coding certifications
Work EnvironmentResearch, data analysis, algorithm design, theoretical workCode writing, application development, system implementation
Employer & Industry UsageAmazon research labs, data teams, algorithm groupsAmazon software engineering teams, product development
Common Search & Comparison IntentUnderstanding research roles vs development roles at AmazonDistinguishing between development and research positions at Amazon

Remote Amazon Computer Science roles focus on research, algorithms, and theoretical work, while Remote Amazon Software Development roles emphasize coding, application building, and system implementation. Both require a strong foundation in computer science but differ in daily tasks and work environment.

What are popular job titles related to Remote Amazon Computer Science jobs in Charleston, WV? For Remote Amazon Computer Science jobs in Charleston, WV, the most frequently searched job titles are:
What job categories do people searching Remote Amazon Computer Science jobs in Charleston, WV look for? The top searched job categories for Remote Amazon Computer Science jobs in Charleston, WV are:
Infographic showing various Remote Amazon Computer Science job openings in Charleston, WV as of August 2026, with employment types broken down into 72% Full Time, 17% Part Time, and 11% Contract. Highlights an 100% Remote job distribution.

Data Scientist, Credit Risk Analytics

Prosper

Charleston, WV • Remote

$129K - $179K/yr

Full-time

Posted 6 days ago


Job description

Your role in our mission
 
Prosper is seeking a Data Scientist under the Credit Risk Analytics vertical. You will become a core contributor with machine learning expertise in the credit risk team, delivering results that directly impact business value. This is a unique, hybrid role where you will not only build and deploy industry-leading predictive models but also play a critical role in shaping our credit risk strategy and business decisions.
How you’ll make an impact
  • Build industry-leading machine learning models for managing credit and fraud risks. Collaborate closely with engineering to deploy models into a production environment.
  • Leverage complex data sources (e.g., credit bureau reports, customer-supplied information) at scale to develop credit and fraud strategies to improve the credit performance and optimize risk decisions.
  • Propose and execute strategic solutions to complex business problems, operating effectively within constraints and aligning with broader company objectives.
  • Analyze ad-hoc portfolio performance at a granular segment level on an ongoing basis. Identify trends and conduct root-cause analysis to isolate key performance drivers. Communicate findings and recommendations to the Risk Management and broader Prosper community.
  • Help the team develop internal tools and workflow solutions to increase data science productivity and operational efficiency.
  • Actively monitor credit risk models and strategies in production, extracting actionable insights to significantly impact key business metrics.
  • Assess the potential usefulness and validity of new machine learning algorithms and features sourced from diverse, alternative data providers.
  • Conduct high-impact, ad-hoc analyses supporting risk management, investor services, operations, and corporate development initiatives.
Skills that will help you thrive
  • 2-3+ years of work experience in fintech, finance, or another high-impact field applying statistical and machine learning predictive techniques. Consumer lending experience in unsecured personal loans or credit cards is a strong plus.
  • Advanced degree (M.S./Ph.D.) preferably in statistics, computer science, engineering, physical sciences, economics, or a related technical field.
  • Expert knowledge of statistical programming languages (e.g., Python) and database languages (e.g., SQL).
  • Solid understanding of coding best practices, model documentation, and ML ops principles.
  • Strong communication skills with the ability to translate complex technical subject matter into clear, actionable business strategies for cross-functional partners and senior management.
  • Strong ability to collaborate seamlessly with people across various functions (engineering, product, compliance) and build strong relationships.
  • Ability to work unsupervised in a fast-paced environment, effectively prioritizing among parallel technical and strategic projects.
  • Ability to innovate within regulatory guidelines with a strong commitment to reproducible research and model governance.
  • Self-motivated, results-oriented, enthusiastic, and a creative thinker who bridges the gap between data science and business strategy.
Resources to help you prosper
  • A connected experience: We prioritize high-touch collaboration and flexibility. Whether you are working from our San Francisco or Phoenix offices or joining us as a fully remote team member, we provide the digital-first tools and intentional culture to keep you synced and supported
  • Invested in your future: A competitive salary and a 401(k) with a 5% company match to help you build long-term financial security
  • Holistic well-being: We provide the resources you need to thrive, from flexible time off and paid parental leave to an annual wellness allowance and comprehensive health coverage
  • Professional & personal growth: Take advantage of a suite of premium perks, including Udemy access, childcare assistance, pet insurance, and a bevy of additional savings through Beneplace
Interview Process
  • Recruiter Call: A brief screening to discuss your experience and initial questions.
  • Department Interview: Deeper dive into technical skills and project alignment with the Hiring Manager or team member.
  • Team/Virtual Interview: Meet team members for collaborative discussions, problem-solving, or technical exercises.
  • Final Round: Discussion with a department head/executive.
Compensation details: The salary for this position is $129,000 - $179,000 annually, plus bonus and generous benefits. In determining your salary, we will consider your location, experience, and other job-related factors.
#LI-SK1
#LI-Remote

About Us

Prosper introduced U.S. consumers to an innovative approach to personal finance as the first peer-to-peer lending platform in the country. Since 2005, Prosper has helped over 2 million customers achieve financial well-being through a comprehensive suite of digital personal finance products.

Prosper’s flagship personal loan* marketplace continues to offer unique value for both borrowers and investors, while the Prosper® Card¹ provides essential access to credit and flexibility for those managing their financial journey. Guided by its mission to advance financial well-being, Prosper is dedicated to helping people thrive by meeting people where they are with simple, trusted, and affordable financial solutions. Learn more at www.prosper.com.

We’re on a mission to hire the very best, and we are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere. It is important to us that every hire connects with our vision, mission, and core values. Join a leading fintech company that’s democratizing finance for all!  
 
Our Values
  • Diversity expands opportunities
  • Collaboration creates better solutions
  • Curiosity fuels our innovation
  • Integrity defines all our relationships
  • Excellence leads to longevity 
  • Simplicity guides our user experience 
  • Accountability at all levels drives results
 
www.prosper.com
Our Story & Team  //   Our Blog 
 
Applicants have rights under Federal Employment Laws.
Family & Medical Leave Act (FMLA)
Equal Employment Opportunity (EEO)
Employee Polygraph Protection Act (EPPA) 
 
California applicants: please click here to view our California Consumer Privacy Act (“CCPA”) Notice for Applicants, which describes your rights under the CCPA.
 
Illinois applicants: please click here to view our Artificial Intelligence Notice for Applicants.
 
At Prosper, we're looking for people with passion, integrity, and a hunger to learn. We encourage you to apply even if your experience doesn't precisely match the job description. Your unique skill set and diverse perspective will stand out and set you apart from other candidates. Prosper thrives with people who think outside of the box and aren't afraid to challenge the status quo. We invite you to join us on our mission to advance financial well-being.
 
Prosper is committed to an inclusive and diverse workplace. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical​​​ condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law, including the San Francisco Fair Chance Ordinance. Prosper will consider for employment qualified applicants who are non-US citizens and will provide green card sponsorship.
 

*All personal loans are made by WebBank.

¹The Prosper® Card is an unsecured credit card issued by Coastal Community Bank, Member FDIC, pursuant to license by Mastercard® International.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.