Inform the future of Webflow with data by building a deep understanding of how our customers create for the web with our product. Partner directly with key product stakeholders to identify interesting business questions and provide the data and quantitative analysis to answer them, leading the development of KPIs and helping teams understand how to improve our user experience.
Lead and scale the data science function, building a high-impact team that drives data-driven decision-making, AI-powered optimization, and business intelligence across the company. Work cross-functionally with Product, Engineering, and Business teams to develop models that enhance pricing, personalization, fraud detection, and operational efficiency. Define and execute the vision and roadmap for Data Science at Engine.
As the Data Operations Analyst at CO:CREATE, you’ll play a foundational role in building out the data infrastructure that powers our product, operations, and artist experience. You’ll serve as the company’s go-to for trustworthy, actionable data. Your work will equip every team at CO:CREATE with the clarity and confidence they need to move fast, stay aligned, and build something remarkable for the world’s top tattoo artists.
The Bioinformatics Engineer will join a team focused on delivering custom analyses to support Biopharma customers, responsible for the retrieval, processing, and formatting of genomic data based on provided specifications, and rigorous quality control of generated reports, ensuring timely delivery across multiple concurrent projects.
Design, build, and maintain the data foundation behind our next-generation AI agent platform. You’ll work closely with AI/ML teams to power training, inference, and continuous learning through highly scalable data pipelines and cloud-native architectures. If you’re passionate about data infrastructure, performance optimization, and driving data quality at scale, we want to hear from you.
We are looking for a Product Data Analyst to join our team to help us power up the traveler's journey for millions of holidaymakers; the candidate will have the opportunity to leverage analytical skills to produce actionable insights and improve customer experience. Specifically, the analyst will have the chance to monitor the flight search funnel, examining the performance of different product features to help the business identify areas for improvement.
We are looking for a lead-level software engineer to lead the charge on a team of like-minded individuals responsible for developing the data architecture that powers our data collection process and analytics platform. If you have a passion for optimization, scaling, and integration challenges, this may be the role for you. You will work with product and engineering leaders to define data solutions that support customers’ business practices.
Reporting into the Market Access and Custom Analytics organization, this role will be a part of the MACA Solutions team that works closely with MACA Solutions Manager to develop consulting enablement tools and processes for MACA regional teams to utilize in their work with internal and external customers. Specifically, helping to drive market adoption and optimize da Vinci minimally invasive robotic assisted surgery.
Design and automate data pipelines, ensuring end-to-end efficiency. Maintain data completeness and reliability, building for scalability. Collaborate with cross-functional teams to refine processes and drive customer success. Create a robust infrastructure for handling diverse content and datasets.
Support high impact work by running key portions of our data products to help end product owners scale or run centralized data ingestion pipelines that the broader team relies on. Build expertise in highly valuable alternative datasets like web-scraped data, transaction data, email data, and others. You'll gain insight into how investors use data in their investment decisions.