We are seeking a Director of Data Science to lead the development and integration of AI, machine learning, and data science capabilities across Life360’s diverse product and business domains. This leader will partner with teams spanning core product, user experience, international and domestic growth, ads, marketing, finance, and user acquisition to identify high-impact opportunities where intelligent systems and scientific methods can enhance decision-making and unlock new value.
Extend is seeking a Staff Architect to join our Architecture team and drive our AI Native strategy forward. You'll shape our long-term technical strategy, foster innovation, and educate our organization on effective AI technologies. Your work will directly impact our platform's evolution, making it more intelligent, intuitive, and powerful.
The Data Analyst Intern will be responsible for collecting and acquiring data for marketing needs. You'll help analyze and research data sets for our marketing initiatives, collaborate with our Technical Growth Analyst to ensure data is accurate, relevant, and up to date, and attend meetings to provide regular progress updates to the Fizz team.
Leads technical solutioning that includes research, design, and execution with a diverse team of data scientists, data engineers and other business partners to research, design, build and refine data sciences solutions. Presents insights, results, and recommendations. Participates in project management, model peer reviews, and training sessions on statistical modeling and AI/ML techniques.
The Senior Data Scientist within the Global Products and Surety team will expand the boundaries of Data Science applications globally, helping incubate new ideas and encouraging innovation across Global Risk Solutions markets. This role involves leveraging the latest Artificial Intelligence (AI) and Machine Learning (ML) methods to drive business value, building in-house AI/ML capabilities, and participating in the end-to-end product cycle.
Angi is seeking an exceptional Senior Data Scientist who can enable our transformation into a world-class online marketplace. The role is on our Data Science & Machine Learning team, tackling challenges such as search ranking, paid marketing optimization, and leveraging predictive models to enhance our product and consumer experience. Lead development of predictive models and algorithms to improve Service Professional product and operations.
As a Staff Machine Learning Scientist, you will lead the development of customer-facing, production deployed Machine Learning capabilities within the payments space; requiring a strong understanding of ML development methodology and modern MLOps practices and techniques. Additionally, this role will help inform the technical trajectory of our ML ecosystem and drive excellence in our ML development practices.
The Data Scientist in this role will be primarily embedded within Wealthfront’s Investing area to confidently grow, preserve, and manage wealth by making the most effective investing strategies more convenient, accessible, and affordable. Responsibilities include formulating project plans, interpreting statistical results, and collaborating with stakeholders. The ideal candidate will enhance overall Data Science team execution through hands-on help, design feedback and peer review.
Lead data exploration and analytics initiatives by connecting and analyzing diverse data sources to extract valuable insights. Own end-to-end data analytics processes including extraction, processing, analysis, reporting, modeling, deployment, and visualization. Apply predictive analytics, machine learning, and AI techniques to create innovative solutions that drive business value.
Create cutting-edge models and solutions to enhance and streamline marketing decision-making processes, seamlessly integrating them into our market-leading technology platform. Assess the effectiveness of our marketing initiatives by employing advanced techniques such as attribution analysis, incrementality tests, and media mix modeling. Leverage expertise in handling extensive data sets to conduct comprehensive analyses from start to finish, including data preparation, modelling training, and thorough evaluation.