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The role involves working with a cross-functional team to develop machine learning models for fraud detection, utilizing a tech stack that includes Python, Spark, and cloud technologies to analyze large datasets and deliver business insights.
As a Principal Associate, Data Scientist on the Fraud Intelligence team, you will partner with cross-functional teams to build and maintain machine learning models protecting customers from fraud. You'll leverage technologies to analyze large datasets, develop machine learning workflows, and communicate findings to drive business decisions.
As a Principal Data Scientist, you'll lead efforts in modernizing loss forecasting models, partnering with cross-functional teams to leverage advanced technologies and analytics for financial decision-making. You'll build and deploy predictive models, optimizing platforms that generate insights from large data sets, while focusing on customer-centric solutions and innovation.
The Data Scientist, Product role involves analyzing consumer behavior and engagement in the real estate sector, creating full funnel reporting, automating reporting for teams, partnering with machine learning teams, and delivering product insights to inform acquisition strategies. The role requires strong collaboration with marketing, product, and engineering teams.
As a Senior Data Scientist at Capital One, you will develop machine learning models to analyze customer behavior, enhance digital experiences, and ensure data accuracy. You will work with large-scale data analysis and collaborate with product and engineering teams to drive data-driven decisions.
As a Senior Data Scientist at Capital One, you will develop and deploy machine learning models to analyze vast customer data, helping to refine customer experiences and improve business outcomes. You'll partner with product and engineering teams while exploring customer behavior and ensuring data accuracy against fraud.
The Senior Associate Data Scientist will collaborate with a team to develop predictive models and insights for detecting financial crimes. Responsibilities include building machine learning models, interpreting data, and leveraging a variety of technologies to analyze large datasets and improve decision-making.
As a Senior Associate Data Scientist, you will develop machine learning models to support credit card customer acquisitions. Collaborating with cross-functional teams, you will leverage technologies to analyze large datasets, creating actionable insights to enhance business decisions. Your role involves full life cycle model development and continuous innovation in data science methodologies.
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As a Staff Data Scientist at Zocdoc, you'll enhance the core Search product by applying statistical methods and machine learning algorithms. You'll lead and mentor a team of data scientists, driving data-driven initiatives in collaboration with various business units to improve healthcare solutions.
As a Manager, Data Scientist in Credit Review, you will lead a team to drive insights from large datasets using statistical and machine learning models, working closely with cross-functional teams to meet business goals. Your responsibilities will include developing innovative data-driven solutions to enhance financial decision-making and managing the integrity of the models in use.
As a Principal Associate, Data Scientist, you will leverage analytic and technical skills to innovate and maintain data solutions for business problems, focusing on credit bureau data analysis to generate insights and improve production infrastructure.
As a Principal Associate Data Scientist, you'll work with a diverse team to develop machine learning models, leveraging technologies like Python and AWS to analyze large datasets and enhance decision-making. You'll translate complex data insights into actionable business strategies, driving improvements for customers and the company.
As a Senior Data Scientist at Roblox, you will establish and scale performance metrics for the Core Engine, build analytics dashboards, utilize A/B experiments to assess product features, and collaborate across teams to improve user engagement and engine performance.
The Senior Data Scientist will lead advanced analytical projects, leveraging machine learning and statistical techniques to derive insights for enterprise-scale solutions. Responsibilities include developing models, providing actionable recommendations, collaborating with stakeholders, and guiding junior team members in analytical methodologies.
As a Senior Data Scientist, you will build machine learning models, analyze large datasets, and collaborate with various teams to enhance customer experiences and business outcomes at Capital One. You will leverage your technical skills to ensure data accuracy and combat fraud while delivering intelligent customer interactions across digital platforms.
As a Principal Associate Data Scientist, you will analyze credit bureau data to generate insights and support the Card Data team, develop data solutions, and maintain partnerships with stakeholders. Responsibilities include model development, data analysis, and presenting findings to leadership.
The Senior Data Scientist will lead the development of NLP models, focusing on enhancing Kargo's adtech strategies through advanced machine learning techniques. Responsibilities include collaborating across teams to create data-driven models, overseeing audience targeting algorithms, and ensuring system reliability and scalability.
The Senior Associate, Data Scientist will collaborate with cross-functional teams to develop and implement machine learning models that enhance customer acquisition for credit cards. This role involves handling large volumes of data, utilizing various technologies, and translating complex analyses into actionable business strategies.
As a Senior Data Scientist at Kargo, you will enhance auction-based models to optimize ad performance. Collaborating with data scientists and engineers, you will use machine learning to improve real-time bidding systems and drive client ROI, while presenting insights to stakeholders.
As a Manager Data Scientist, you will lead a cross-functional team to develop machine learning models and deliver data-driven insights that enhance customer experiences. Your role includes leveraging technologies to analyze large datasets and translating complex findings into actionable business solutions.
The Manager, Data Scientist role involves building machine learning models to combat application fraud at Capital One. You will collaborate with a diverse team, analyze large data sets using advanced technologies, and translate findings into actionable business insights.
As a Senior Data Scientist in Lifecycle Marketing, you will leverage data science to enhance Cash App's marketing strategies. Responsibilities include optimizing marketing efforts through model building, analyzing A/B experiments, processing large datasets using SQL and programming languages like Python, and creating insightful visualizations. Your role will impact decision-making and influence the marketing roadmap based on data-driven insights.
The Staff Policy Economist role entails using data-driven insights to guide Airbnb's policy and regulatory engagements. Responsibilities include conducting regulatory impact analysis, performing spatial analysis, utilizing AI/ML for unstructured data, and collaborating with internal teams and external experts. The position requires effective project management and communication skills along with advanced data modeling and analytical abilities.
The Senior Data Scientist - Creator Services at Roblox will accelerate product development by leveraging analytics, transforming raw data, forecasting infrastructure costs, and building predictive models. This role involves collaborating with cross-functional teams to define KPIs, evaluate A/B testing, and enhance the overall performance and quality of creator services.
The Data Science Manager will lead data science projects focused on marketing analytics, manage and mentor teams, and engage clients to enhance offerings. Responsibilities include applying data science techniques to solve complex marketing challenges, driving business development, and contributing to the firm’s thought leadership.
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