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As a Senior Associate Data Scientist in Credit Risk Management, you will work with a team to build tools providing insights on credit loss forecasting models, using machine learning and big data technologies. Your role includes collaborating across teams and translating complex data findings into actionable business goals.
The Principal Data Scientist will leverage machine learning and data analytics to build models that enhance customer experiences and prevent fraud across Capital One's digital products. The role involves collaborating with product and engineering teams to optimize data-driven decision-making.
The Data Annotator role involves labeling and curating data to train and evaluate AI models, including annotating multimodal data and generating educational content. Candidates will work independently on task-based assignments while ensuring the accuracy and quality of their annotations.
The Senior Associate Data Scientist will analyze data to support business goals, conduct deep dives, design tests, and monitor portfolio performance. Responsibilities include collaborating with business partners, managing analytical initiatives, and coaching junior team members while embracing industry trends and advanced analytical techniques.
The Sr. Manager of Data Science at Visa will lead a team of analysts, focusing on applying data-driven solutions to business problems. This role involves collaborating with internal and external partners, extracting and visualizing data insights, developing analytical models, and overseeing multiple data science projects. A key aspect is mentoring team members and staying updated on modern analytic techniques.
As a Principal Data Scientist, you will build and validate machine learning models, analyze customer behavior, and partner with teams to enhance customer experiences. You will utilize statistical modeling and data analysis to ensure accurate customer data and support various business domains.
The role involves leading data analytics projects at PwC, utilizing advanced analytics and machine learning to drive insights and optimize business performance for clients. Responsibilities include mentoring team members, project management, and deploying production-quality models with AI technologies like neural networks and NLP.
As a Data Scientist II, you will develop and enhance predictive machine learning models to optimize delivery estimation, dispatching, and driver pay. Collaborate with cross-functional teams to align ML solutions with business goals while contributing to MLOps excellence and continuously improving key metrics for fulfillment efficiency.
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As a Principal Data Scientist at Self Financial, you'll lead efforts in leveraging machine learning and data analytics to develop innovative solutions and models that aid in financial inclusion. Your role will involve feature engineering, collaborating across teams on product development, and establishing data science standards, ultimately impacting millions of customers' financial wellbeing.
As a Senior Data Scientist at Cash App, you will analyze large datasets to derive actionable insights, work on statistical modeling, evaluate A/B experiments, and collaborate with engineering teams on data integration and visualization. Your role focuses on enhancing the advertising growth through data-driven strategies in a fast-paced environment.
As a Data Scientist, you will analyze complex supply chain data, identify trends, and develop predictive models to support strategic business decisions. Responsibilities include data collection, statistical modeling, collaboration with teams, and effective communication of insights to stakeholders.
As a Principal Data Scientist, you will lead the development of AI/ML solutions for personalized recommendations using large datasets, working with a cross-functional team, and applying advanced statistical modeling techniques.
The Principal Data Scientist will lead the Recommendation & Personalization team, leveraging advanced technologies to create AI/ML solutions that enhance customer experiences by providing personalized recommendations across various digital channels. This role involves partnership with cross-functional teams and the development of machine learning models to interpret and derive insights from vast data sets.
As a Principal Data Scientist, you will lead the Recommendation & Personalization team in building AI/ML solutions, partnering across teams to deliver customer-focused products. You will leverage advanced modeling techniques and large datasets to extract insights and enhance user experiences, while also guiding the innovation and experimentation processes.
As a Data Scientist at Capital One, you will lead a team to innovate solutions that impact the company's bottom line. Responsibilities include partnering with cross-functional teams, leveraging technologies to analyze large volumes of data, and building machine learning models to improve decision-making.
The Drug Discovery Data Scientist will research and manage data sets related to computational chemistry and genomics, ensure data quality, collaborate with advisors on data needs, and address technical data issues, all while contributing to drug development efforts.
As a Data Scientist at Capital One, you will work with a cross-functional team to develop innovative risk models and tools for card products, analyzing large volumes of data to drive business decisions and improvements. You will apply your expertise in statistical modeling and machine learning to lead projects that enhance performance and customer value.
As a Principal Data Scientist, you will collaborate with a cross-functional team to deliver AI-powered products, leveraging machine learning technologies to analyze large data sets and provide actionable insights. Your role includes overseeing the machine learning life cycle, from data analysis to model deployment, while translating complex data work into business objectives.
The role involves building machine learning models at scale, exploring customer behavior patterns, and collaborating with engineering and business teams to enhance customer experiences and prevent fraud. Key tasks include analyzing large datasets and operationalizing models in production environments.
As a Senior Data Scientist at Capital One, you will develop machine learning models and conduct experiments to improve customer experiences, utilizing large datasets, open-source tools, and cloud computing. You will partner with engineering teams to ensure operational efficiency and accuracy of customer data while exploring behavioral patterns.
The Principal Associate, Data Scientist will work with cross-functional teams to build and implement machine learning models, leveraging a wide technology stack to analyze large datasets. Responsibilities include translating complex analysis into business objectives and ensuring customer-focused product development.
The Vice President of Data Science Research leads the research organization in developing innovative methods for cancer screening, manages resources and staff, fosters collaboration, and aligns team objectives with company goals, leveraging extensive experience in data science and machine learning.
The Senior Associate Data Scientist will work on the Anti-Money Laundering Modeling and Advanced Data Insights team to enhance transaction monitoring through machine learning. The role involves developing predictive models, collaborating with cross-functional teams, analyzing large datasets, and using various technologies to drive insightful data-driven decisions.
As a Principal Data Scientist, you will lead a cross-functional team to leverage AI in product development, utilizing a broad stack of technologies to analyze large datasets and build machine learning models to enhance customer experience.
Hims & Hers is seeking candidates for future Analytics and Data Science opportunities to drive data-driven decisions and innovations across the company. The roles involve analytics, machine learning engineering, and building data solutions to enhance user experience and support business growth.
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