2

Remote Machine Learning Jobs in Charleston, WV (NOW HIRING)

Sr. Credit Risk Analyst

Charleston, WV ยท Remote

$129K - $161K/yr

... data, machine learning models and advanced analytics tools to optimize risk decisions * Bring ... Whether you are working from our San Francisco or Phoenix offices or joining us as a fully remote ...

Assess machine-translated lyrics for meaning, naturalness, and contextual flow. * Provide quality ... Approximately $17/hour for Learning Explicitness & Translation Quality * Location: Remote work ...

Director, Health Systems

Charleston, WV ยท Remote

$178K - $267K/yr

... machine learning. The company's platform is already delivering unprecedented insights into the ... Remote Primary Responsibilities Account Growth & Expansion โ— Consistently exceed performance ...

Clinical Sales Manager

Charleston, WV ยท Remote

$118K - $177K/yr

... machine learning. The company's platform is already delivering unprecedented insights into the ... remote and in-person, and manage follow-up. * Collaborate with Customer Success to onboard new ...

Data Engineer

Charleston, WV ยท Remote

$118K - $148K/yr

... and machine learning * Contribute to the architecture and maintenance of the Data Platform ... Remote Base Salary Range : $118,000 - $148,000 Benefits Overview * Medical/Dental/Vision Insurance ...

Sr. Product Manager - Data Insights

Charleston, WV ยท Remote

$129K - $170K/yr

This is a fully remote opportunity for candidates located in the EST or CST time zones within the ... Identify opportunities to leverage machine learning and AI to automate insight generation and ...

Sr. DevOps Engineer

Charleston, WV ยท Remote

$128K - $176K/mo

This is a remote role however candidates must reside within the United States. Responsibilities ... Collaborate closely with the engineering, data science and machine learning teams to continually ...

New

Senior Solutions Consultant

Charleston, WV ยท On-site +1

$94K - $159K/yr

By harnessing the power of AI and machine learning, SailPoint automates and streamlines the ... Participate in onsite and remote Proof of Value (POV) evaluations * Provide feedback to Product ...

Credit Risk Analyst

Charleston, WV ยท Remote

$102K - $140K/yr

... data, machine learning models and advanced analytics tools to optimize risk decisions * Bring ... Whether you are working from our San Francisco or Phoenix offices or joining us as a fully remote ...

Director, Data Engineering

Charleston, WV ยท Remote

$200K - $230K/yr

... Machine Learning Engineering, and Analytics. Success in this role means building a data foundation ... Remote - US or Canada Type : Full-Time Compensation : Base ($200,000 - $230,000) + Bonus (15 ...

Senior Software Engineer

Charleston, WV ยท Remote

$128K - $176K/yr

Understanding of basic machine learning principles and how to support inference of ML models in production * Experience defining and using Protobuf messages * Experience building solutions on cloud ...

Guided by our values of safety in every step, personal accountability, one team and active learning ... This position is eligible for remote work. What You'll Do * Define and maintain enterprise identity ...

Showing results 21-40

Remote Machine Learning information

See Charleston, WV salary details

$24.8K

$41.4K

$85.5K

How much do remote machine learning jobs pay per year?

As of Aug 18, 2026, the average yearly pay for remote machine learning in Charleston, WV is $41,386.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,600.00 and $44,700.00 per year, depending on experience, location, and employer.

What is a remote machine learning job?

A remote machine learning job involves working with algorithms, data, and models to develop predictive systems or automate tasks, all while working from a location outside of a traditional office setting. Professionals in this role use techniques from statistics and computer science to analyze data, train machine learning models, and deploy solutions for real-world applications. Remote machine learning jobs can span various industries, including technology, healthcare, finance, and e-commerce. These roles typically require strong programming skills, knowledge of machine learning frameworks, and the ability to communicate findings effectively with team members or stakeholders. Working remotely offers flexibility, but also requires discipline and self-motivation to succeed.

What are some effective strategies for collaborating with team members while working remotely as a machine learning engineer?

Collaboration in a remote Machine Learning role often relies on clear communication through digital tools such as Slack, Zoom, and project management platforms like Jira or Asana. Regular check-ins and stand-up meetings help keep everyone aligned on project goals and timelines. Sharing code and models via version control systems (like Git) and using collaborative notebooks (such as JupyterHub or Google Colab) are also common practices. Building strong documentation habits and proactively seeking feedback can help ensure smooth teamwork and project success, even across different time zones.

What is the difference between Remote Machine Learning vs Data Scientist?

AspectRemote Machine LearningData Scientist
Required CredentialsBachelor's/Master's in CS, ML certificationsBachelor's/Master's in CS, Statistics, or related field
Work EnvironmentRemote, collaborative teams, tech companiesRemote or on-site, diverse industries, analytics focus
Industry UsageTech, AI startups, researchFinance, healthcare, e-commerce, tech
Search & Comparison IntentOften compared for technical roles in AI/MLBroader data analysis roles, but overlapping skills

Remote Machine Learning specialists focus on developing algorithms and models primarily in tech environments, often requiring advanced programming and ML knowledge. Data Scientists analyze data to extract insights, sometimes utilizing ML techniques. While both roles share skills and credentials, Remote Machine Learning emphasizes model development, whereas Data Scientists focus on data analysis and interpretation.

What are popular job titles related to Remote Machine Learning jobs in Charleston, WV?

For Remote Machine Learning jobs in Charleston, WV, the most frequently searched job titles are:

What job categories do people searching Remote Machine Learning jobs in Charleston, WV look for?

The top searched job categories for Remote Machine Learning jobs in Charleston, WV are:

What cities near Charleston, WV are hiring for Remote Machine Learning jobs?

Cities near Charleston, WV with the most Remote Machine Learning job openings:

Sr. Credit Risk Analyst

Prosper

Charleston, WV โ€ข Remote

$129K - $161K/yr

Full-time

Re-posted 12 days ago


Job description

Your role in our mission

As the first peer to peer lending marketplace in the states, Prosper has a history of innovation.  As a growth company that generates cash, Prosper also has a history of generating results.  We are looking for team members that share our passion for applied analysis and who would be excited to be part of a mission-driven team.

The successful candidate will join Prosper’s Credit Risk team. The Credit Risk team uses analytics tools to develop strategies that govern automated decisions in Prosper’s online marketplace. A Senior Credit Risk Analyst at Prosper has the opportunity to utilize advanced analytical skills to develop verification and fraud strategies using models and data in order to manage credit decisions. An ideal candidate should have strong hands-on analytical skills and a passion for solving problems in innovative and effective ways.  The faster and more agile risk strategies keep our marketplace competitive and ensure that we continue to deliver on our mission of advancing financial well-being.


How you’ll make an impact
  • Develop credit and fraud strategies to improve the credit performance by using data, machine learning models and advanced analytics tools to optimize risk decisions
  • Bring innovative/out of the box thinking to make recommendations and to approaching/solving problems
  • Design A/B tests and understand the risk and customer experience trade-offs
  • Continue to innovate by testing new data, analytics approaches and models
  • Partner with Data Science, Product, Engineering and other partner teams to implement credit and fraud prevention strategies, test and validate pre and post performance
  • Conduct ad-hoc analysis related to risk management, product, and operations
  • Analyze 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
Skills that will help you thrive
  • Bachelors or Masters degree in Business, Statistics, Mathematics, Computer Science, Engineering or Economics.
  • 3+ years of experience with a Masters or 5+ years of experience with a Bachelors managing credit risk and/or fraud and/or data science in consumer lending industry, consumer personal loan / credit card experience is a plus
  • Strong analytical and problem-solving skills
  • Must have strong proficiency in SQL and Python, Experience with DBT and  Looker will be a plus.
  • Strong communication skills – ability to communicate technical subject matter clearly and succinctly to other team members and Senior Management team
  • Knowledge and experience of segmentation, statistical procedures, and financial analytic tools are required
  • Curious to ask questions, probe into reasons and challenge the status quo
  • Strong ownership and motivation to drive business result
  • Ability to work in fast-paced environment and meet deadlines without sacrificing quality
  • We will also consider candidates who don’t have financial services experience but have strong technology background and analytical skills
  • Self-starter; comfort dealing with ambiguity
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.
Compensation details: The salary for this position is $129k - $161k annually, plus bonus and generous benefits. In determining your salary, we will consider your location, experience, and other job-related factors.
 
#LI-AW1
#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.