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As a Senior Associate in AI & GenAI Data Science at PwC, you will leverage advanced analytics to extract insights from large datasets, develop AI solutions, and collaborate with clients on their business challenges. Responsibilities include model development, prompt engineering, and designing AI architectures while managing a global analytics team.
The AI & GenAI Data Scientist will leverage advanced analytical techniques to extract insights from large datasets, develop and implement AI and Generative AI solutions, and collaborate with clients to address their business problems through data-driven decision-making.
As a Data Scientist in Product, you will work with engineering teams to transform data into actionable insights for product decisions. Your responsibilities include applying statistical methods, designing experiments, building dashboards, and influencing product roadmaps based on user interaction data.
The Head of Data Science and AI is responsible for driving innovation in Ai and data science at Socure, focusing on developing machine learning models, leading cross-functional collaboration, overseeing advanced data strategies, and mentoring technical teams to enhance AI-driven solutions.
The Sr. Data Scientist will leverage AI and data science to enhance patient engagement and billing clarity. Responsibilities include creating datasets, developing AI-driven features, testing performance of models, collaborating with engineering and product teams, and identifying new AI opportunities for business value.
As a Data Scientist/Analyst at PayZen, you will develop statistical and machine learning models to improve patient engagement and financial processes. Responsibilities include collaborating with teams to optimize data strategies, designing AI/ML model infrastructure, and executing A/B tests to drive unbiased insights for better business outcomes.
The Data Scientist II - Product Owner will translate complex data concepts into actionable insights, manage collaborative projects within a cross-functional team, and apply statistical analytics, predictive modeling, and machine learning techniques to solve challenging problems. Responsibilities include constant communication with business partners and building scalable data-driven solutions that improve client interaction and business growth.
As a Staff Data Scientist at ezCater, you will design, develop, and deploy data science and machine learning models, utilizing customer data to enhance user experience and drive business intelligence. You will analyze large datasets, perform A/B testing, develop predictive models, and collaborate with cross-functional teams to innovate and optimize data-driven solutions.
Featured Jobs
As a Data Scientist II, you'll enhance customer experiences through data solutions, conducting data analysis, developing statistical models, and collaborating with teams to translate business needs into data-driven strategies. You'll interpret and visualize data insights, ensuring quality and effective communication with diverse stakeholders.
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As a Data Science TLM Manager, you will shape Airbnb's search and personalization strategy by leading a team of data scientists, developing specialized models for the recommendation platform, and ensuring collaboration between the relevance team and product organization to enhance user experience.
As a Manager, Data Scientist on the Application Fraud Team, you'll lead the development of machine learning models to prevent fraud. You will collaborate with data scientists, software engineers, and product managers to analyze large data volumes and derive insights, focusing on customer protection and enhancing the customer experience.
The Senior Principal Data Scientist - People Analytics will lead analytical projects within the People Insights team, translating stakeholder needs into actionable insights. The role emphasizes collaboration with various analysts and business leaders, mentorship, and the ability to present complex data in an understandable manner.
The Senior Analytics Engineer will translate business needs into technical specifications, build analytics solutions, and develop complex data transformations within the Arine data lake while collaborating with various teams. The role requires creating data models and visualizations to present data in action-oriented formats.
As a Data Scientist Manager, you will lead projects transforming clients through data, develop data science products, mentor junior team members, and write optimized code while enhancing client relationships and promoting team happiness.
The Senior Data Scientist will drive innovative AI/ML capabilities and build data products for customer insights. Responsibilities include refining the product roadmap, analyzing member mental health journey data, and providing leadership in storytelling through data. The role requires close collaboration with customers and internal teams.
As a Director of Data Quality at Labelbox, you will lead a high-performing QA team, implement QC methods, drive process improvements, and align QA strategies with business goals. You will also be involved in optimizing quality as well as maintaining compliance with industry standards.
As the Director of Data Quality, you will lead a high-performing QA team by optimizing QA policies and processes, implementing advanced QA methods, and driving initiatives for quality improvements. You will collaborate with various teams to ensure high-quality data annotation and maintain compliance with industry standards while presenting insights to senior management.
The Senior Data Science Analyst will execute analytical initiatives by solving business problems using advanced analytics and machine learning techniques. Responsibilities include developing reports and dashboards, managing risk issues, collaborating with partners, and continuously improving work processes.
Looking for a Data Science Lead to build data-driven analytics solutions for business processes in areas like customer loyalty and operations. Responsibilities include the development of AI/ML solutions, analytical roadmaps, scalable data science methodologies, and enhancing organizational data competencies.
The Data Scientist will build predictive models to optimize lending decisions, analyze consumer risk behavior, and develop reporting dashboards. Responsibilities include A/B testing, collaborating with engineering teams, and communicating strategies to management.
The Senior Data Scientist will work closely with Engineering, Product, Design, Operation, Identity, and Compliance teams to evaluate payments and risk data, build controls and strategies, and improve Gusto’s products through data insights and analyses. They will communicate results to stakeholders and engage in cross-functional collaboration.
The Principal Data Scientist will lead AI-powered product development, collaborating with data scientists and engineers. Responsibilities include model building, data analysis, and translating technical insights into business outcomes. They will work with diverse technologies to analyze vast data sets and innovate within the AI training team.
The Staff Data Scientist will collect, analyze, and optimize big data while contributing to the organization's Big Data Strategy. Responsibilities include building predictive models, creating visualization dashboards, and collaborating with cross-functional teams to drive data-driven solutions. The role emphasizes continuous learning and innovation in data science methodologies.
As a Principal Data Scientist, you will enhance experimentation practices and analyses, facilitating informed decision-making collaboratively with business and engineering teams. Your role involves developing innovative methods to speed up the experimentation lifecycle and scaling experimentation within the organization.
As a Manager, Data Scientist in the Application Fraud Team, you'll leverage machine learning models and work with cross-functional teams to protect customers from fraud during the application stage. Responsibilities include data analysis, model development, and translating complex data insights into business strategies.
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