This is an exciting opportunity for someone who wants to design web3 analytics systems that run at web2 scale, reliability, and robustness. As a Staff Data Engineer you will partner with the heads of Data and Engineering to effectively and smoothly process high-volume data in a reliable and robust way. You will get to touch all parts of the business at Mysten Labs and become the expert on data structures on the Sui blockchain.
Job listings
We are hiring a Senior Software Engineer (Data Platform Engineer) to our Data Platform team in Brazil! The Data Platform Team is responsible for building and maintaining system components that pave the way for data engineers and analysts to deliver their business objectives. This team leverages open-source software, uses cloud infrastructure and services, and builds software to accomplish its mission.
Lead the Data Platform team, playing a pivotal role in Scalable Capitalβs data journey. Improve, extend, and automate data platforms, acting as a hands-on staff engineer while mentoring two talented data experts. Serve as the expert for data engineering and platform best practices, empowering data teams and promoting a data-driven culture.
Partner closely with Audit and cross-functional stakeholders to design, implement, and evaluate analytics that assess the effectiveness of controls. Conduct rigorous data validation and QA processes to support internal audits, regulatory exams, and control testing. Build reproducible testing frameworks and metrics dashboards that improve visibility and transparency for audit outcomes.
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.
The Senior Analyst will work with the newsroom and audience teams, delivering powerful tools and analyses that unlock insights into audience growth and engagement. They will translate complex data into applicable recommendations that directly influence editorial, product, and overall business strategies. This position involves conducting deep-dive analysis, communicating findings, democratizing data, and proactively identifying opportunities for applying data.
A Product & Catalogue Analyst analyzes product performance and guides decisions impacting the product lifecycle. Responsibilities include analyzing market data, tracking product metrics, and providing insights to improve product performance and user experience. The analyst conducts market research, evaluates product launches, and collaborates with cross-functional teams. They also analyze customer feedback, conduct A/B testing, and provide data-driven recommendations.
Lead a team to build cutting-edge machine learning models for acquisition credit strategies and credit management programs. Apply your knowledge in data, modeling, and analytical expertise to drive the growth of the business. Collaborate with cross-functional teams to manage the entire modeling cycle including model design, development, evaluation, validation, and performance tracking.
The Business Enablement team leads technological advancement while ensuring robust security and compliance, delivering user-friendly corporate applications and managing complex data ecosystems. As Data Analytics Engineer, design, build, and optimize data pipelines, perform data investigations, and provide insights that empower strategic decision-making. In this role you will collaborate with data analysts, engineers, and healthcare professionals.
The ideal candidate will have a strong analytical background with a passion for understanding user behavior and driving product decisions through data. This role will be responsible for leading data initiatives that empower our product managers, designers, and engineers. Directly support our product team with tooling, data exploration, and insights. Lead a team of product analysts.