Remote Associate Data Scientist Jobs
Remote Associate Data Scientist jobs are in active demand across the U.S., with remote-first firms and distributed data teams hiring for roles in technology, finance, healthcare, and insurance. Employers hiring remotely right now include Tiger Analytics, BlueFlag LLP, and Tempus. Scan the live roles below and apply to whichever ones fit.
Find JobsOverview
Showing 5 of 244+ Remote Associate Data Scientist jobs
Your role in our mission
Prosper is seeking a Data Scientist for the Data Science team under our Credit Risk Analytics vertical. You will become a core contributor with machine learning expertise on the credit risk team and deliver results that directly impact our business.
How you’ll make an impact
- Build industry-leading machine learning models for managing credit and fraud risks
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.
Collaborate with engineers to deploy your models into a production environment
Propose and execute solutions to various problems within business constraints
Use responsible AI technique following regulatory requirements and lending best practices
Help the team with developing tools and workflow solutions to increase data science productivity
Actively monitor the credit risk models in production
Extract the most value out of data to significantly impact our key business metrics
Assess the potential usefulness and validity of machine learning algorithms and features through various data sources
Conduct ad-hoc analysis related to risk management, investor services, operations and corporate development
Skills that will help you thrive
-
3+ years of work experience in fintech, finance, or other high impact fields applying statistical and machine learning predictive techniques (educational experience taken into consideration). Consumer lending experience in unsecured personal loan or credit card is a plus
Advanced degree (M.S./PhD) preferably in statistics, computer science, engineering, physical sciences, economics, or related technical field
- Sr. level: M.S. with 6+ years of experience or PhD with 3+ years of experience
-
Expert knowledge in one of the statistical programming languages such as Python, and database languages such as SQL
Solid understanding of coding best practices and model documentation
Strong communication skills – ability to clearly and succinctly communicate technical subject matter to other team members and senior management
Strong interpersonal skills – collaborate with people across functions and develop strong relationships
Ability to work unsupervised in fast-paced environment and prioritize among parallel projects
Ability to think within regulatory guidelines with a mindset toward reproducible research
Self-motivated, results-oriented, enthusiastic, and a creative thinker
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
- Technical Interview: Deeper dive into coding skills
- Team/Virtual Interview: Meet team members for collaborative discussions, problem-solving, or technical exercise
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.
- 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
- 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.
Your role in our mission
Prosper is seeking a Data Scientist for the Data Science team under our Credit Risk Analytics vertical. You will become a core contributor with machine learning expertise on the credit risk team and deliver results that directly impact our business.
How you’ll make an impact
- Build industry-leading machine learning models for managing credit and fraud risks
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.
Collaborate with engineers to deploy your models into a production environment
Propose and execute solutions to various problems within business constraints
Use responsible AI technique following regulatory requirements and lending best practices
Help the team with developing tools and workflow solutions to increase data science productivity
Actively monitor the credit risk models in production
Extract the most value out of data to significantly impact our key business metrics
Assess the potential usefulness and validity of machine learning algorithms and features through various data sources
Conduct ad-hoc analysis related to risk management, investor services, operations and corporate development
Skills that will help you thrive
-
3+ years of work experience in fintech, finance, or other high impact fields applying statistical and machine learning predictive techniques (educational experience taken into consideration). Consumer lending experience in unsecured personal loan or credit card is a plus
Advanced degree (M.S./PhD) preferably in statistics, computer science, engineering, physical sciences, economics, or related technical field
- Sr. level: M.S. with 6+ years of experience or PhD with 3+ years of experience
-
Expert knowledge in one of the statistical programming languages such as Python, and database languages such as SQL
Solid understanding of coding best practices and model documentation
Strong communication skills – ability to clearly and succinctly communicate technical subject matter to other team members and senior management
Strong interpersonal skills – collaborate with people across functions and develop strong relationships
Ability to work unsupervised in fast-paced environment and prioritize among parallel projects
Ability to think within regulatory guidelines with a mindset toward reproducible research
Self-motivated, results-oriented, enthusiastic, and a creative thinker
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
- Technical Interview: Deeper dive into coding skills
- Team/Virtual Interview: Meet team members for collaborative discussions, problem-solving, or technical exercise
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.
- 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
- 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.
See All 244+ Remote Associate Data Scientist Jobs
Find roles that match your experience and apply in just a few clicks.
Find JobsRemote Associate Data Scientist Job Market
Who's Hiring
Top Industries Hiring
- Technology & Software20
- Staffing & Recruiting4
- Retail3
- Insurance3
- Consulting & Professional Services3
What Employers Look For
The qualifications that appear most often in remote associate data scientist jobs.
- Bachelor's or master's degree in statistics, computer science, mathematics, or a related quantitative field
- Proficiency in Python or R for data manipulation, modeling, and analysis
- Experience with SQL for querying relational databases and working with large datasets
- Familiarity with machine learning frameworks such as scikit-learn, TensorFlow, or PyTorch
- Ability to communicate analytical findings clearly to both technical and non-technical stakeholders
- Experience with data visualization tools such as Tableau, Power BI, or matplotlib
Tips for Your Remote Associate Data Scientist Job Search
Build a portfolio that shows remote readiness
Host end-to-end data science projects on GitHub with clear README documentation, inline code comments, and written summaries of your findings. Remote employers want to see that you can produce and explain work without someone looking over your shoulder.
Apply early to remote roles that fit
Migrate Mate lists remote associate data scientist openings from across the U.S. in one place, so you can find roles that match your stack and seniority and apply directly without sorting through on-site listings mixed in.
Demonstrate async communication in your application
Remote data teams run on written communication. Use your cover note to show you can explain a technical result to a non-technical stakeholder in plain language. Candidates who write clearly stand out immediately on distributed hiring teams.
Target companies with existing distributed data teams
Remote-first technology firms and established distributed analytics teams already have the tooling, norms, and onboarding processes for remote associate data scientists. Prioritize these over companies listing remote as a temporary perk, since the working environment will be more structured from day one.
Remote Associate Data Scientist Jobs: Frequently Asked Questions
How do I get a remote associate data scientist job?
Remote associate data scientist roles go to candidates who can demonstrate self-direction and clear written communication alongside technical skills. Remote employers screen heavily for proficiency in Python or R, SQL, and tools like Jupyter or dbt, plus the ability to document findings and collaborate async. A portfolio of completed projects shared through GitHub or a personal site gives you a concrete edge over candidates who only list coursework.
Which companies hire remote associate data scientists?
Companies hiring remote associate data scientists right now include Tiger Analytics, BlueFlag LLP, and Tempus, based on current remote listings on Migrate Mate as of November 2026. Remote-first technology firms, distributed financial services teams, and healthcare analytics companies account for the largest share of these openings.
Can you get a remote associate data scientist job with no experience?
Yes, but remote entry-level associate data scientist roles are harder to land because employers expect you to work independently from day one without on-site mentorship. Companies with structured remote internship pipelines and startups building out early data functions are the most likely to hire without prior full-time experience. A portfolio of end-to-end projects, public notebooks, and evidence of async collaboration can substitute for direct work history and open those doors.
Do you need a degree for remote associate data scientist jobs?
Not always. Many remote employers list a bachelor's degree in statistics, computer science, or a related field as preferred rather than required, and distributed teams often weigh demonstrated skills more heavily than credentials. A strong project portfolio, proficiency in core data science tools, and the ability to communicate findings in writing can carry significant weight alongside or instead of a formal degree.
Which industries hire the most remote associate data scientists?
Remote associate data scientist roles concentrate in Technology & Software, Staffing & Recruiting, and Retail, based on current remote listings on Migrate Mate as of November 2026. These sectors rely on distributed analytics teams that can operate effectively across time zones without requiring on-site presence.
See All 244+ Remote Associate Data Scientist Jobs
Find roles that match your experience and apply in just a few clicks.
Find Jobs