Responsibilities : • Design, build, and optimize machine learning models that support credit risk decisioning and portfolio management at Ramp • Own the full applied science development lifecycle ...
Responsibilities : • Design, build, and optimize machine learning models that support credit risk decisioning and portfolio management at Ramp • Own the full applied science development lifecycle ...
Senior Applied Scientist, Credit Risk
New York, NY · Remote
$165K - $228K/yr
You'll work at the intersection of machine learning, statistics, economics, and product strategy ... Applied scientists at Ramp focus on solving quantitative problems across credit, fraud, growth, and ...
Quick apply
Senior Applied Scientist, Credit Risk
New York, NY · Remote
$165K - $228K/yr
You'll work at the intersection of machine learning, statistics, economics, and product strategy ... Applied scientists at Ramp focus on solving quantitative problems across credit, fraud, growth, and ...
$13 - $17.50/hr
Our applied science team uses these datasets to better understand our customers critical business ... machine learning, remote sensing, geoscience, and physics. As an intern, you will learn how to ...
$13 - $17.50/hr
Our applied science team uses these datasets to better understand our customers critical business ... machine learning, remote sensing, geoscience, and physics. As an intern, you will learn how to ...
Data Scientist - Machine Learning
Dublin, CA · On-site +1
... in applied Statistics, Data Science, or Business Analytics • Need to understand applied ... remote office location with the ability for occasional travel for team meetings and events.
Data Scientist - Machine Learning
Dublin, CA · On-site +1
... in applied Statistics, Data Science, or Business Analytics • Need to understand applied ... remote office location with the ability for occasional travel for team meetings and events.
Robotics, Artificial Intelligence, Machine Learning, Perception, Modeling, Simulation, Applied ... in Robotics, Computer Science, Electrical Engineering, Aerospace Engineering, Mechanical ...
Robotics, Artificial Intelligence, Machine Learning, Perception, Modeling, Simulation, Applied ... in Robotics, Computer Science, Electrical Engineering, Aerospace Engineering, Mechanical ...
Data Scientist - Machine Learning Practitioner
Ann Arbor, MI · On-site +1
$140K - $150K/yr
We are a remote-first team committed to using data science for social good and building tools that ... This is a strong fit for someone who combines rigorous applied ML judgment with product-minded ...
Data Scientist - Machine Learning Practitioner
Ann Arbor, MI · On-site +1
$140K - $150K/yr
We are a remote-first team committed to using data science for social good and building tools that ... This is a strong fit for someone who combines rigorous applied ML judgment with product-minded ...
Senior Applied Scientist - Moloco Ads
Seattle, WA · On-site +1
$104K - $142K/yr
... machine learning teams and data science teams. As an Applied Scientist, you will participate as an ... individual contributor on research projects alongside other research scientists within the context ...
Senior Applied Scientist - Moloco Ads
Seattle, WA · On-site +1
$104K - $142K/yr
... machine learning teams and data science teams. As an Applied Scientist, you will participate as an ... individual contributor on research projects alongside other research scientists within the context ...
In this fully remote role, you will work alongside leading researchers to transform emerging AI and ... in machine learning, applied AI, software engineering, or data science. * Strong technical ...
Quick apply
In this fully remote role, you will work alongside leading researchers to transform emerging AI and ... in machine learning, applied AI, software engineering, or data science. * Strong technical ...
Principal Applied Scientist, Agentic AI
$181K - $290K/yr
About the team Zillow is investing deeply in next-generation AI and machine learning to power ... We collaborate closely with platform, product, and operations partners in a fast-moving, remote ...
Principal Applied Scientist, Agentic AI
$181K - $290K/yr
About the team Zillow is investing deeply in next-generation AI and machine learning to power ... We collaborate closely with platform, product, and operations partners in a fast-moving, remote ...
Azumo is currently looking for a highly motivated Data Scientist / Machine Learning Engineer to ... The position is FULLY REMOTE , based in Latin America. Professional English proficiency (B2/C1 ...
Azumo is currently looking for a highly motivated Data Scientist / Machine Learning Engineer to ... The position is FULLY REMOTE , based in Latin America. Professional English proficiency (B2/C1 ...
D. in Computer Science, Data Science, Mathematics, Physics, Operations Research, Statistics, or a related field. • 5+ years of experience as a Data Scientist, Machine Learning Engineer, or Applied ...
D. in Computer Science, Data Science, Mathematics, Physics, Operations Research, Statistics, or a related field. • 5+ years of experience as a Data Scientist, Machine Learning Engineer, or Applied ...
The Data Scientist role involves enhancing machine learning models for infrastructure analytics ... applied experience • Experience modeling asset classes beyond BlueConduit's current water ...
The Data Scientist role involves enhancing machine learning models for infrastructure analytics ... applied experience • Experience modeling asset classes beyond BlueConduit's current water ...
We are searching for a talented Senior/Staff Applied Machine Learning Scientist to join our ... StackAdapt is a remote-first company, and we are open to candidates located anywhere in the US or ...
We are searching for a talented Senior/Staff Applied Machine Learning Scientist to join our ... StackAdapt is a remote-first company, and we are open to candidates located anywhere in the US or ...
Data Scientist / Machine Learning Engineer (Generative AI Focus) Contract Length: 12+ Months Hybrid schedule 3 days per week onsite/ 2 remote Location: Charlotte, NC/ Irving, TX/ Boston, MA Ref ...
Data Scientist / Machine Learning Engineer (Generative AI Focus) Contract Length: 12+ Months Hybrid schedule 3 days per week onsite/ 2 remote Location: Charlotte, NC/ Irving, TX/ Boston, MA Ref ...
Senior Apps Applied Scientist
Cupertino, CA · On-site +1
$184K - $324K/yr
Description The Applied Scientist will work on designing, developing, and implementing sophisticated machine learning and AI models to solve complex problems, particularly for creative applications ...
Senior Apps Applied Scientist
Cupertino, CA · On-site +1
$184K - $324K/yr
Description The Applied Scientist will work on designing, developing, and implementing sophisticated machine learning and AI models to solve complex problems, particularly for creative applications ...
Senior Apps Applied Scientist
Cupertino, CA · On-site +1
$184K - $324K/yr
Description The Applied Scientist will work on designing, developing, and implementing sophisticated machine learning and AI models to solve complex problems, particularly for creative applications ...
Senior Apps Applied Scientist
Cupertino, CA · On-site +1
$184K - $324K/yr
Description The Applied Scientist will work on designing, developing, and implementing sophisticated machine learning and AI models to solve complex problems, particularly for creative applications ...
Senior Apps Applied Scientist
Cupertino, CA · On-site +1
$184K - $324K/yr
Description The Applied Scientist will work on designing, developing, and implementing sophisticated machine learning and AI models to solve complex problems, particularly for creative applications ...
Senior Apps Applied Scientist
Cupertino, CA · On-site +1
$184K - $324K/yr
Description The Applied Scientist will work on designing, developing, and implementing sophisticated machine learning and AI models to solve complex problems, particularly for creative applications ...
As our Principal Applied Scientist, you will play a key role in shaping the future of AI at Oracle ... Deep technical understanding of Machine Learning, Deep Learning architectures like Transformers ...
As our Principal Applied Scientist, you will play a key role in shaping the future of AI at Oracle ... Deep technical understanding of Machine Learning, Deep Learning architectures like Transformers ...
Senior Data Scientist + Machine Learning Engineer
$190K - $210K/yr
We are a remote company, but we prefer to hire in time zones that can overlap with our HQ in San ... Data Scientist / Applied Scientist / ML Engineer shipping ML to production (or equivalent)
New
Senior Data Scientist + Machine Learning Engineer
$190K - $210K/yr
We are a remote company, but we prefer to hire in time zones that can overlap with our HQ in San ... Data Scientist / Applied Scientist / ML Engineer shipping ML to production (or equivalent)
New
Chicago, IL: 4 days in-office; 1 day remote What a typical week might look like * Hands-on ... Machine Learning Scientist, Model Developer, Applied Scientist, Economist, or similar role on ...
Chicago, IL: 4 days in-office; 1 day remote What a typical week might look like * Hands-on ... Machine Learning Scientist, Model Developer, Applied Scientist, Economist, or similar role on ...
Remote Applied Scientist Machine Learning information
What does a Remote Applied Scientist in Machine Learning do?
A Remote Applied Scientist in Machine Learning develops and implements machine learning models to solve real-world problems, often from a location outside of a traditional office. Their work involves analyzing large datasets, designing algorithms, and collaborating with teams to deploy scalable solutions. They may also conduct experiments to improve model performance and stay up to date with the latest research in the field. Communication and documentation are important, as they often work with cross-functional teams remotely.
What are the key skills and qualifications needed to thrive as a Remote Applied Scientist in Machine Learning, and why are they important?
To thrive as a Remote Applied Scientist in Machine Learning, you need a strong background in mathematics, statistics, and computer science, often supported by an advanced degree and experience in ML algorithm development. Familiarity with programming languages like Python or R, machine learning frameworks such as TensorFlow or PyTorch, and tools for data processing and cloud computing is essential. Exceptional problem-solving ability, communication, and self-motivation are key soft skills for collaborating remotely and driving projects forward. These skills ensure you can independently design, implement, and communicate impactful machine learning solutions in a distributed work environment.
What can I expect in terms of collaboration and communication when working as a Remote Applied Scientist in Machine Learning?
As a Remote Applied Scientist in Machine Learning, you will frequently collaborate with cross-functional teams, including data engineers, product managers, and software developers. Communication typically takes place via video calls, chat platforms, and shared documentation, so strong written and verbal communication skills are essential. You may participate in regular virtual stand-ups, sprint planning, and code reviews to align on project goals and share progress. Remote work environments emphasize proactive communication and self-management to ensure seamless teamwork and project delivery.
What cities are hiring for Remote Applied Scientist Machine Learning jobs? Cities with the most Remote Applied Scientist Machine Learning job openings:
What are the most commonly searched types of Applied Scientist Machine Learning jobs? The most popular types of Applied Scientist Machine Learning jobs are:
What states have the most Remote Applied Scientist Machine Learning jobs? States with the most job openings for Remote Applied Scientist Machine Learning jobs include:
Job description
Job Summary:
Ramp is building the smart infrastructure for finance teams, and they are seeking a Senior Applied Scientist to help drive the future of credit applied science. In this role, you will design, build, and optimize the models that power their credit risk systems, collaborating with various stakeholders to solve quantitative problems and influence company strategy.
Responsibilities:
• Design, build, and optimize machine learning models that support credit risk decisioning and portfolio management at Ramp
• Own the full applied science development lifecycle, from data exploration and feature development to model prototyping, deployment, monitoring, and iteration
• Investigate and evaluate new data sources, including structured and unstructured data, and integrate them into credit models where appropriate
• Develop backtesting, validation, and monitoring frameworks to evaluate model performance and business impact
• Apply methods from machine learning, statistics, causal inference, optimization, and economics to solve core business problems
• Generate and communicate data-driven insights that influence product, risk, and company strategy
• Partner with product, business, engineering, and data stakeholders to translate ambiguous problems into clear objectives, scoped opportunities, and a practical applied science roadmap
• Contribute to best practices for model development, experimentation, documentation, testing, and production reliability
Qualifications:
Required:
• Bachelor’s degree or above in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative fields.
• 5+ years of industry experience as an Applied Scientist, Machine Learning Engineer, Research Scientist, or equivalent; or 3+ years of industry experience with a PhD
• Strong familiarity with the mathematical fundamentals of advanced statistics, machine learning, optimization, and/or economics
• Experience working with large datasets using Python and SQL
• Strong Python experience across exploratory data analysis, predictive modeling, and applied machine learning, using tools such as NumPy, pandas, scikit-learn, PyTorch, or similar libraries
• Strong communication: the ability to bridge technical methodology to meaningful data narratives to drive company decisions and strategy
• Track record of shipping high-quality machine learning products in production and at scale
• Ability to thrive in a fast-paced, constantly improving, start-up environment that focuses on solving problems with iterative technical solutions
Preferred:
• PhD in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative fields
• Strong perspective on data science engineering development cycle (data modeling, version control, documentation + testing, best practices for codebase development)
• Familiarity with data orchestration platforms (Airflow, Dagster, Prefect)
• Experience at a high-growth startup
• Experience leveraging AI/LLMs for development or for internal workflows
Company:
Ramp is a financial technology company that develops software for corporate spend management, finance operations, and business payments. Founded in 2019, the company is headquartered in New York, USA, with a team of 1001-5000 employees. The company is currently Late Stage.
Ramp is building the smart infrastructure for finance teams, and they are seeking a Senior Applied Scientist to help drive the future of credit applied science. In this role, you will design, build, and optimize the models that power their credit risk systems, collaborating with various stakeholders to solve quantitative problems and influence company strategy.
Responsibilities:
• Design, build, and optimize machine learning models that support credit risk decisioning and portfolio management at Ramp
• Own the full applied science development lifecycle, from data exploration and feature development to model prototyping, deployment, monitoring, and iteration
• Investigate and evaluate new data sources, including structured and unstructured data, and integrate them into credit models where appropriate
• Develop backtesting, validation, and monitoring frameworks to evaluate model performance and business impact
• Apply methods from machine learning, statistics, causal inference, optimization, and economics to solve core business problems
• Generate and communicate data-driven insights that influence product, risk, and company strategy
• Partner with product, business, engineering, and data stakeholders to translate ambiguous problems into clear objectives, scoped opportunities, and a practical applied science roadmap
• Contribute to best practices for model development, experimentation, documentation, testing, and production reliability
Qualifications:
Required:
• Bachelor’s degree or above in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative fields.
• 5+ years of industry experience as an Applied Scientist, Machine Learning Engineer, Research Scientist, or equivalent; or 3+ years of industry experience with a PhD
• Strong familiarity with the mathematical fundamentals of advanced statistics, machine learning, optimization, and/or economics
• Experience working with large datasets using Python and SQL
• Strong Python experience across exploratory data analysis, predictive modeling, and applied machine learning, using tools such as NumPy, pandas, scikit-learn, PyTorch, or similar libraries
• Strong communication: the ability to bridge technical methodology to meaningful data narratives to drive company decisions and strategy
• Track record of shipping high-quality machine learning products in production and at scale
• Ability to thrive in a fast-paced, constantly improving, start-up environment that focuses on solving problems with iterative technical solutions
Preferred:
• PhD in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative fields
• Strong perspective on data science engineering development cycle (data modeling, version control, documentation + testing, best practices for codebase development)
• Familiarity with data orchestration platforms (Airflow, Dagster, Prefect)
• Experience at a high-growth startup
• Experience leveraging AI/LLMs for development or for internal workflows
Company:
Ramp is a financial technology company that develops software for corporate spend management, finance operations, and business payments. Founded in 2019, the company is headquartered in New York, USA, with a team of 1001-5000 employees. The company is currently Late Stage.