245 senior data scientist consumer machine learning jobs found

Posted Date 5/07/2025 Description Senior Data Scientist, Consumer Identity Machine Learning Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description Consumer Identity ML is the data science and machine learning team...

Senior Data Scientist, Consumer Identity Machine Learning   Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.   As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.   Team Description   Consumer Identity ML is the data science and machine learning team inside Capital...

Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description Consumer Identity ML is the data science and machine learning team inside Capital One’s AI foundation organization. We deliver real-time, personalized, intelligent customer experiences in Capital One’s...

Position Overview Job Title AI/ML Engineer Corporate Title: Associate Location New York Overview: Engineering is responsible for managing or performing work across multiple areas of the Bank's overall IT Platform/Infrastructure including analysis, development, and administration. It may also involve taking functional oversight of engineering delivery for specific departments. Work includes Planning and developing entire engineering solutions to accomplish business goals, building reliability and resiliency into solutions with appropriate testing and reviewing throughout the delivery lifecycle Ensuring maintainability and reusability of engineering solutions Ensuring solutions are well architected and can be integrated successfully into the end-to-end business process flow Reviewing engineering plans and quality to drive re-use and improve engineering capability Participating in industry forums to drive adoption of innovative technologies, tools and...

This role is based out of Tempe, Arizona or Chicago, Illinois. Applicants must be open to relocating to one of these two cities as this role is hybrid and will require a couple of days in the office each week. Must be highly proficient in SAS and Excel. Knowledge of software like Python, Power BI a plus. The Data Scientist / Portfolio Risk Manager provides analysis, monitors the performance and develops portfolio credit recommendations on consumer loan portfolios to manage risk taking, improve profitability and ensure the bank’s lending activities adhering to Retail Credit policies and Risk Appetite target. This role leverages the use of statistical tools, quantitative modeling techniques and other business methodologies to mine data and support credit policy and strategy recommendations. The position is responsible for contributing to key risk management related business processes such as credit performance monitoring, retail risk policy/strategy development, credit loss...

This role is based out of Tempe, Arizona or Chicago, Illinois. Applicants must be open to relocating to one of these two cities as this role is hybrid and will require a couple of days in the office each week. Must be highly proficient in SAS and Excel. Knowledge of software like Python, Power BI a plus. The Data Scientist / Portfolio Risk Manager provides analysis, monitors the performance and develops portfolio credit recommendations on consumer loan portfolios to manage risk taking, improve profitability and ensure the bank’s lending activities adhering to Retail Credit policies and Risk Appetite target. This role leverages the use of statistical tools, quantitative modeling techniques and other business methodologies to mine data and support credit policy and strategy recommendations. The position is responsible for contributing to key risk management related business processes such as credit performance monitoring, retail risk policy/strategy development, credit loss...

This role is based out of Tempe, Arizona or Chicago, Illinois. Applicants must be open to relocating to one of these two cities as this role is hybrid and will require a couple of days in the office each week. Must be highly proficient in SAS and Excel. Knowledge of software like Python, Power BI a plus. The Data Scientist / Portfolio Risk Manager provides analysis, monitors the performance and develops portfolio credit recommendations on consumer loan portfolios to manage risk taking, improve profitability and ensure the bank’s lending activities adhering to Retail Credit policies and Risk Appetite target. This role leverages the use of statistical tools, quantitative modeling techniques and other business methodologies to mine data and support credit policy and strategy recommendations. The position is responsible for contributing to key risk management related business processes such as credit performance monitoring, retail risk policy/strategy development, credit loss...

This role is based out of Tempe, Arizona or Chicago, Illinois. Applicants must be open to relocating to one of these two cities as this role is hybrid and will require a couple of days in the office each week. Must be highly proficient in SAS and Excel. Knowledge of software like Python, Power BI a plus. The Data Scientist / Portfolio Risk Manager provides analysis, monitors the performance and develops portfolio credit recommendations on consumer loan portfolios to manage risk taking, improve profitability and ensure the bank’s lending activities adhering to Retail Credit policies and Risk Appetite target. This role leverages the use of statistical tools, quantitative modeling techniques and other business methodologies to mine data and support credit policy and strategy recommendations. The position is responsible for contributing to key risk management related business processes such as credit performance monitoring, retail risk policy/strategy development, credit loss...

Work Location: New York, New York, United States of America Hours: 40 Pay Details: $95,264 - $155,376 USD TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs. As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role. Line of Business: Analytics, Insights, & Artificial Intelligence Job Description: The Applied Machine Learning Scientist II is responsible...

Work Location: New York, New York, United States of America Hours: 40 Pay Details: $95,264 - $155,376 USD TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs. As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role. Line of Business: Analytics, Insights, & Artificial Intelligence Job Description: The Applied Machine Learning Scientist II is responsible...

Work Location: New York, New York, United States of America Hours: 40 Pay Details: $95,264 - $155,376 USD TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs. As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role. Line of Business: Analytics, Insights, & Artificial Intelligence Job Description: The Applied Machine Learning Scientist II is responsible...

Work Location: New York, New York, United States of America Hours: 40 Pay Details: $95,264 - $155,376 USD TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs. As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role. Line of Business: Analytics, Insights, & Artificial Intelligence Job Description: The Applied Machine Learning Scientist II is responsible...

Work Location: New York, New York, États-Unis d'Amérique Hours 40 Pay Details $95,264 - $155,376 USD TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs. As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role. Line Of Business Analyses, informations et intelligence artificielle Job Description The Applied Machine Learning Scientist II is responsible for providing...

Work Location: New York, New York, États-Unis d'Amérique Hours 40 Pay Details $95,264 - $155,376 USD TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs. As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role. Line Of Business Analyses, informations et intelligence artificielle Job Description The Applied Machine Learning Scientist II is responsible for providing...

Work Location: New York, New York, United States of America Hours: 40 Pay Details: $95,264 - $155,376 USD TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs. As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role. Line of Business: Analytics, Insights, & Artificial Intelligence Job Description: The Applied Machine Learning Scientist II is...

Work Location: New York, New York, United States of America Hours: 40 Pay Details: $95,264 - $155,376 USD TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs. As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role. Line of Business: Analytics, Insights, & Artificial Intelligence Job Description: The Applied Machine Learning Scientist II is...

Fundamental AI Research Scientist, Computer Vision - FAIR Join to apply for the Fundamental AI Research Scientist, Computer Vision - FAIR role at Meta Fundamental AI Research Scientist, Computer Vision - FAIR 1 week ago Be among the first 25 applicants Join to apply for the Fundamental AI Research Scientist, Computer Vision - FAIR role at Meta Get AI-powered advice on this job and more exclusive features. This range is provided by Meta. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range $147,000.00/yr - $208,000.00/yr Meta is seeking a Research Scientist to join Fundamental AI Research (FAIR), a research organization focused on making significant progress in AI. Our organization is motivated by producing new science to understand intelligence and technology towards achieving advanced machine intelligence. The ideal candidate will have established expertise in artificial intelligence and machine...

The Company PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers. We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a...

Job Description Day-to-Day: Our streaming client is looking for a Data Scientist to join their Direct-to-Consumer Data Science team. This individual will be responsible for creating analytical solutions for one or more verticals of their video streaming service including, but not limited to, automated marketing, personalized advertisement, commerce and revenue optimization systems, customer journey and CRM solutions. They will heavily leverage consumer insights to build out causal models, prediction models, pseudo-experimentation models to better understand the subscribers customer journey. In this role, the Senior Data Scientist will use advanced data science methodologies including collaborative filtering, deep learning, reinforcement learning, on-line modelling, etc. and work closely with business owners, teammates, and engineers to build a state-of-the-art real-time video streaming service. Responsibilities include: Develop predictive models using statistical,...

Working with Us Challenging. Meaningful. Life-changing. Those aren't words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You'll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible. Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more careers.bms.com/working-with-us . Position Cloud Developer AI/ML, Sr. Manager - Analytics Operations...

Job Description About the Team Oracle?NetSuite's Data Science group empowers internal stakeholders-Sales, Marketing, Customer Success, Finance, and more-by turning raw ERP and CRM data into actionable intelligence. We leverage the Domo platform for data ingestion and transformation, and Python for advanced analytics, predictive modeling, and AI initiatives. Role Overview As a Data Scientist at Oracle?NetSuite, you will: Collaborate with Sales, Marketing, and cross-functional teams to identify key metrics, design experiments, and prioritize analytics projects Architect and maintain Domo dataflows to unify data from NetSuite ERP, CRM, and third-party sources Develop Python scripts and workflows for data preprocessing, feature engineering, and visualization Prototype, validate, and productionize machine learning models (e.g., lead scoring, churn prediction, customer segmentation) Communicate findings via dashboards and reports, enabling...

Job Description About the Team Oracle?NetSuite's Data Science group empowers internal stakeholders-Sales, Marketing, Customer Success, Finance, and more-by turning raw ERP and CRM data into actionable intelligence. We leverage the Domo platform for data ingestion and transformation, and Python for advanced analytics, predictive modeling, and AI initiatives. Role Overview As a Data Scientist at Oracle?NetSuite, you will: Collaborate with Sales, Marketing, and cross-functional teams to identify key metrics, design experiments, and prioritize analytics projects Architect and maintain Domo dataflows to unify data from NetSuite ERP, CRM, and third-party sources Develop Python scripts and workflows for data preprocessing, feature engineering, and visualization Prototype, validate, and productionize machine learning models (e.g., lead scoring, churn prediction, customer segmentation) Communicate findings via dashboards and reports, enabling...

Job Description As a Lead Data Scientist, you'll shape next-gen AI capabilities for Clinical Data Exchange (CDeX)-where payers and providers collaborate seamlessly. You'll build models that power prior authorization, risk adjustment, claims adjudication, and more-making data work smarter across the healthcare ecosystem. You'll also help reduce the administrative burden on clinicians, using AI to automate documentation, extract insights, and deliver real-time intelligence when it matters most. From classical ML to generative models, you'll lead with purpose designing scalable, responsible AI for real-world impact. Responsibilities growth and leadership. Responsibilities Partner with Product Managers to turn ambitious product visions into AI-powered solutions that reshape healthcare operations and experiences. Collaborate closely with Clinical Terminologists to ensure models are clinically sound and aligned with evolving healthcare standards...

Job Description About the Team Oracle?NetSuite's Data Science group empowers internal stakeholders-Sales, Marketing, Customer Success, Finance, and more-by turning raw ERP and CRM data into actionable intelligence. We leverage the Domo platform for data ingestion and transformation, and Python for advanced analytics, predictive modeling, and AI initiatives. Role Overview As a Data Scientist at Oracle?NetSuite, you will: Collaborate with Sales, Marketing, and cross-functional teams to identify key metrics, design experiments, and prioritize analytics projects Architect and maintain Domo dataflows to unify data from NetSuite ERP, CRM, and third-party sources Develop Python scripts and workflows for data preprocessing, feature engineering, and visualization Prototype, validate, and productionize machine learning models (e.g., lead scoring, churn prediction, customer segmentation) Communicate findings via dashboards and reports, enabling...