FARFETCH exists for the love of fashion. Our mission is to be the global platform for luxury fashion, connecting creators, curators and consumers.We're a positive platform for good, bringing together an incredible creative community made up by our people, our partners and our customers. This community is at the heart of our business success. We welcome differences, empower individuality and celebrate diverse skills and perspectives, creating an inclusive environment for everyone. We are FARFETCH for All.DATAWe're a Data team that does it all: big data engineering, machine learning, and deep-dive analytics and insight.

It's great, but not required, if you have: Experience in B2B, customer support, customer success Experience in product analytics, people analytics Experience with large data sets and distributed computing (Hive/Hadoop) Experience in using Jira, Team Central, Confluence to manage and share team's work

About the Role If you're looking to be part of a dynamic, highly-analytical team who enjoys improving the Gojek experience to delight and engage more users, look no further! As an Operations Analyst (Data Operations) for the Supply Operations team, you'll take the wheel in designing and building scalable analytics solutions through data pipelines and visualize datasets that empower the Singapore business with actionable analytics. Working closely with Product, Growth, Marketplace, Service Excellence, and Business Intelligence teams, you'll dive deep into local market insights to provide direction and analytical solutions that are timely, accurate, and actionable to drive growth and contribute to the continuous improvement of data pipelines within the business intelligence domain. Employing your stellar analytical skills and contextual business acumen, your efforts will improve the service reliability and experience for our driver-partners, and ensure that we provide both our ...

This is a remote position. The applicant can be anywhere in the country of the posting and must be eligible to work from there. As a Data Scientist, you will lead the charge on building our data science infrastructure and driving insights that lead to step-function improvements in how we operate. We handle millions of tasks for businesses looking to scale their ML development, and we're looking for a talented data science leader to help us understand it all in the service of building better products. In this role, you will apply statistical models, design and interpret experiments, build mission-critical dashboards, and help structure and order our data in the pursuit of transparency over how we operate and how we can improve.

The successful candidate will provide the technical leadership for the machine learning project within the creation of Everbridge's Risk Data Ingest (Hermes) platform. The role will require collaboration with architects, domain experts, engineering management, product management, and engineers. This position requires 10 years professional experience in a data science role with good working knowledge in machine learning, natural language processing, using Python programming. The candidate must have the ability to drive machine learning projects and produce results while working with a remote team, using Zoom, Slack, email, and other collaboration tools. What you'll do: Design and implement Machine learning, deep learning predictive models/NLP utilizing diverse sources of data to reflect and expedite the RIMC (Risk Intelligence Monitoring Center) analyst's curation of risk event data.

It is our inherent belief that diverse teams build better products. We aim to create a space where employees can bring their true selves to work every day. Animoto is proud to be an equal opportunity workplace and affirmative action employer. We welcome you to be a part of it.

Machine learning (ML) has been strategic to Amazon from the early years. We are pioneers in areas such as recommendation engines, product search, eCommerce fraud detection, and large-scale optimization of fulfillment center operations. The Amazon ML Solutions Lab team helps AWS customers accelerate the use of machine learning to solve business and operational challenges and promote innovation in their organization. As a science manager for the ML Solutions Lab team, you will lead a team of customer-facing scientists and architects to design and deliver advanced ML solutions to solve diverse real-world problems for customers across all industries. You will interact with customers, translate their business problems into ML problems, and lead your team in applying classical ML algorithms and cutting-edge deep learning (DL) and reinforcement learning approaches to areas such as drug discovery, customer segmentation, fraud prevention, capacity planning, predictive maintenance, pricing optimization, call center analytics, player pose estimation, event detection, and virtual assistant among others.

Scale is a vital part of bringing ML-enabled technologies to the world, from autonomous driving to drones, robots, and AV / AR. As our customer base is growing exponentially, you will be leading our field engineering efforts for our computer vision based projects, ensuring that the world's most innovative companies become passionate, lifelong Scale customers. Scale works with the world's top self-driving car and robotics ML teams on annotating data across Lidar, Camera, and Radar modalities. For example, our CTO, Brad Porter, was Amazon's top robotics leader, our Director of Engineering, Elliot Branson, lead perception at Cruise Automation, and one of our product leaders, Russell Kaplan, built out the core vision model for Tesla Autopilot. As our Field Engineering team continues to grow, we're looking for a player-coach to lead by example and build out the processes, systems, and structures that will support Scale's ambitious growth goals.

Market Data Analyst- ION Corporates Role DescriptionAs a part of the Services Team, analysts will be responsible for delivery of the Market Data services we offer to our Treasury SaaS clients across the globe. This position requires support in one of the 3 time zones– APAC, EMEA or North America. The shift alignment is subject to the periodic reviews and changes based on the ongoing business requirements. This role will include coordinating with the product teams on monthly system upgrades, raising fix and enhancement requests in addition to performing the UAT periodically (Software Development Life Cycle SDLC). The Market Data Analyst is responsible for ensuring that Reval data is compliant with its market data vendors (primary and sub-vendors).

About The Role They say no man is an island, and this holds true here at Gojek. Data Scientist, you'll be part of the Consumer Platform team that directly impacts Gojek by building smart smart data products. Your main objective will be to mine insights from the sea of data to build ML powered data products. Many smart business leads, analysts and scientists will be your companions during this ride. Best yet, you'll have the opportunity to flex your DS skills, getting us even closer to our ultimate goal to become the leading technology platform.