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As a Principal Data Scientist, you will lead AI-powered product development, leveraging advanced computing and machine learning technologies to analyze vast amounts of data. You will collaborate with cross-functional teams, translate complex data insights into business goals, and continuously evaluate emerging technologies.
The Staff Data Scientist will collaborate with product teams to design, develop, and deploy AI and machine learning solutions, specifically focusing on large language models. Responsibilities include model evaluation, ensuring ethical AI deployment, and mentoring team members while driving impactful AI innovations.
The FVP of Data Science and Monetization will lead efforts to leverage data for revenue generation and enhance customer engagement. Responsibilities include developing data science strategies, leading teams, collaborating with business units, and ensuring data quality and compliance.
As a Lead Data Scientist, you'll build and optimize models to assess credit risk, predict customer churn, and enhance marketing spend efficiency. You'll work with structured data, collaborate with cross-functional teams, and monitor model performance for ongoing improvements.
As a Sr. Manager in Data Science at Adobe, you will lead a team of data scientists and engineers to conduct statistical analyses, drive customer success, and optimize business outcomes. Your role involves mentoring team members, collaborating on strategic priorities, and effectively communicating complex data insights to influence decision-making.
As a Lead Data Scientist, you will apply machine learning and statistical methods to develop models, analyze user behavior, and create visualizations to influence user experiences. Collaborating with business stakeholders, you will identify opportunities and improve data capabilities.
The Data Science Manager will lead a team of data scientists, providing hands-on analysis, driving strategic insights for marketing activities, and fostering a data-driven culture. Responsibilities include managing team growth, partnering with marketing leadership to set goals, and developing tools to assess marketing impact.
As a Junior Consultant, you will leverage data analysis and statistical modeling to provide strategic recommendations for clients. Collaborating with a close-knit team, you'll gather data, build models, and present insights to executives, driving impactful decision-making.
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As a Senior Data Scientist at Thumbtack, you will leverage data to drive business decisions by conducting quantitative research, designing experiments, and collaborating with cross-functional teams on product development. Your role involves scoping new features, monitoring key metrics, and contributing to data culture while mentoring team members.
As a Principal Data Scientist, you'll develop innovative AI/ML solutions, collaborate with cross-functional teams, and drive the creation of personalized user experiences through data analysis and modeling, utilizing a diverse technology stack.
The Senior Data Scientist (AI) at Cedar focuses on leveraging AI and data to enhance patient payment solutions. Responsibilities include developing AI features, creating curated datasets, collaborating with engineering, and advocating for new AI opportunities. The role requires significant experience in AI/ML and APIs, along with technical leadership in a cross-functional environment.
As a Data Science Manager, you will lead the P2P Analytics team, overseeing key initiatives, designing AB tests, creating visual dashboards, analyzing large datasets, and collaborating with various teams to support product strategy through data-driven insights.
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The Senior Data Scientist will analyze complex data sets, develop data models and algorithms, create visualizations, collaborate on data-driven products, and document findings effectively. The role requires expertise in SQL and Python, along with a strong understanding of private markets and alternative investments.
The Principal Data Scientist I will lead the analysis and insights delivery on service quality issues for Internet and Video products at Charter. This role involves utilizing advanced analytics, including Causal AI, to identify network problems and inform stakeholders. Responsibilities include managing the analytics lifecycle, vendor tool assessments, and coaching junior team members.
Lead the growth data science area, analyze user behaviors, build attribution models, inform customer acquisition strategies, conduct experiments, and create reporting dashboards to optimize marketing efforts.
The Principal Data Scientist will utilize machine learning and statistical modeling to analyze billions of customer records, develop real-time models for customer engagement, ensure data accuracy, and drive technological innovations in data-driven decision-making at Capital One.
As a Senior Data Scientist at Udemy, you'll collaborate with psychometricians, product managers, and engineers to enhance the skill assessment platform. You will be involved in developing data pipelines, psychometric models, and dashboards while applying advanced statistical methods and educational assessment practices.
As a Data Scientist at Magnite, you will research and implement machine learning algorithms, prototype solutions, analyze complex datasets, and collaborate with Engineers to optimize model performance. You'll partner with Data Engineers for project production and participate in design reviews.
As a Lead Data Scientist at Brigit, you will build and maintain models to identify credit risk, optimize marketing spend, and reduce churn. You’ll work closely with product and engineering teams and handle the full modeling lifecycle, analyzing data to derive insights that support the company's mission of enhancing financial wellness for customers.
The Senior Data Science Manager will lead a team focused on enhancing the ads experience at Reddit by driving data science initiatives, analyzing large datasets for insights, and implementing A/B testing and experimentation strategies. This role involves collaboration with product and engineering teams to shape product strategies based on data-driven decisions.
The Principal Data Scientist will develop machine learning models, analyze customer behavior, and work closely with product and engineering teams to enhance customer experiences. Responsibilities include model evaluation, real-time data analysis, and experimental design to mitigate fraud and anticipate customer needs.
As a Principal Data Scientist at Capital One, you will lead the development of machine learning models to enhance customer experiences and business outcomes. Responsibilities include exploring customer behavior, developing real-time models, validating data accuracy, and collaborating with various teams on data-driven experiments.
As a Senior Data Scientist at Capital One, you will lead projects in machine learning, conduct research on self-supervised learning and transformer models, and build customer behavioral models. You will work with engineering teams to operationalize data science solutions across business units, impacting marketing, servicing, and fraud prevention.
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.
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