229 jobs found in Wales

Are you intrigued by data? Yelp has hundreds of millions of pieces of user-contributed content, millions of users and business listings, and hundreds of thousands of advertising customers – and all of these numbers are constantly growing. Making sense of this data, deducing relationships between variables, and figuring out different interactions is hard work, but these insights are hugely impactful to Yelp’s business. Applied scientists uncover these insights through exploratory research and analysis, and carry the ideas all the way through to production-grade statistical or predictive models. They work in areas including pricing models and auction bidding strategies, learning to rank applications, personalized recommender systems, trust and safety / spam detection, and causal inference. Yelp engineering culture is driven by our values: we’re a cooperative team that encourages individual authenticity and “unboring” solutions to problems. We enable all new team members to deploy...

At Yelp, it’s our mission to connect people with great local businesses. From a coffee connoisseur’s review of a neighborhood cafe, to a homeowner’s request for a quote to remodel their kitchen, Yelp’s data captures millions of user-business interactions every day. The Data Science & Analytics team prides itself on harnessing the power of this data. We test and learn, build tools and lead meaningful analyses to extract insights that influence Yelp’s product and business strategy. We’re looking for a self-motivated critical thinker whose intellectual curiosity is met with a healthy dose of skepticism. You’ll work with our team of data scientists and analysts. You value the integrity of your work, sanity check analyses before drawing conclusions, and take pride in telling stories with data. You are a team player who is an excellent communicator, quick learner, and as excited about Yelp as we are. This is a high-visibility, high-impact role. It not only impacts data...

At Yelp, it’s our mission to connect people with great local businesses. From a coffee connoisseur’s review of a neighborhood cafe, to a homeowner’s request for a quote to remodel their kitchen, Yelp’s data captures millions of user-business interactions every day. The Data Science & Analytics team prides itself on harnessing the power of this data. We test and learn, build tools and lead meaningful analyses to extract insights that influence Yelp’s product and business strategy. We’re looking for a self-motivated critical thinker whose intellectual curiosity is met with a healthy dose of skepticism. You’ll work with our team of data scientists and analysts. You value the integrity of your work, sanity check analyses before drawing conclusions, and take pride in telling stories with data. You are a team player who is an excellent communicator, quick learner, and as excited about Yelp as we are. This is a high-visibility, high-impact role. It not only impacts data...

Job description This role is open specifically for people who are looking to work on a flexible contract. We know everyone’s lives are different and that traditional working patterns may not be quite right for you. Whether you’ve taken a career break, had time out to support family or are looking to balance your career with another passion of yours, we can offer you a flexible contract to work the pattern that suits you. Part time 3 to 4 days per week   Once you’ve joined the firm you will have access to training, giving you the opportunity to upskill yourself on our various systems. You’ll also benefit from additional support designed to help you integrate into the firm and connect and build relationships with other flexible workers across our network. At Operate, we are significantly growing our Data Science and machine learning practice to support the firm in meeting new market demands and opportunities. As such, we are now looking to...

Are you intrigued by data? Yelp has hundreds of millions of pieces of user-contributed content, millions of users and business listings, and hundreds of thousands of advertising customers – and all of these numbers are constantly growing. Making sense of this data, deducing relationships between variables, and figuring out different interactions is hard work, but these insights are hugely impactful to Yelp’s business. Applied scientists uncover these insights through exploratory research and analysis, and carry the ideas all the way through to production-grade statistical or predictive models. They work in areas including pricing models and auction bidding strategies, learning to rank applications, personalized recommender systems, trust and safety / spam detection, and causal inference. Yelp engineering culture is driven by our values: we’re a cooperative team that encourages individual authenticity and “unboring” solutions to problems. We enable all new team members to deploy...

Are you intrigued by data? Yelp has hundreds of millions of pieces of user-contributed content, millions of users and business listings, and hundreds of thousands of advertising customers – and all of these numbers are constantly growing. Making sense of this data, deducing relationships between variables, and figuring out different interactions is hard work, but these insights are hugely impactful to Yelp’s business. Applied scientists uncover these insights through exploratory research and analysis, and carry the ideas all the way through to production-grade statistical or predictive models. They work in areas including pricing models and auction bidding strategies, learning to rank applications, personalized recommender systems, trust and safety / spam detection, and causal inference. Yelp engineering culture is driven by our values: we’re a cooperative team that encourages individual authenticity and “unboring” solutions to problems. We enable all new team members to deploy...

Ever wish some information about a business was immediately at your fingertips? Maybe something about their health & safety, opening hours, services, or just a unique insight about that business? Interested in exploring that data, finding inventive ways to collect, curate, and make it easily accessible for others to use? How about doing that at scale? Does taking millions of these data points and helping hundreds of millions of consumers connect with millions of businesses sound exciting? Come and join us! The Semantic Business Information (SBI) team at Yelp is looking for a data backend engineer to help build and support this platform. We implement the platforms that collect, curate, and serve critical and up-to-date information about all businesses on Yelp. We then provide any internal team this structured business information, so that they, in turn, can create richer user experiences. We are the backbone for the most important content that Yelp provides consumers and we...

We’re looking for an Information Security (InfoSec) Engineer to join Yelp’s globally expanding Security team and help keep our infrastructure, network, end-points, and applications safe. Are you someone who’s passionate about understanding the behavior of malware, threat hunting, or digital forensics? Do you want to design, build, or optimize solutions to identify suspicious activities and threats, or are you interested in building a custom anomaly detection system? As an InfoSec Engineer, you’ll work on improving our security posture and capabilities. Together with our awesome security engineers, you’ll build custom solutions with creativity and automation to effectively and efficiently perform DFIR that works at scale. You’ll also partner with our internal stakeholders to help architect our future authentication, identity management, and network security systems. Where You Come In: Improve and enhance incident detection and response capabilities while building...

Yelp is looking for security engineers to keep us safe and sane as we build out our desktop, mobile, business owner, and administrative websites. Additionally, Yelp’s future growth in the transactions space has many security implications, both in traditional application security as well as in privacy controls and fraud and risk analysis.  Does having a tremendous impact and broad scope of protecting Yelp’s data, employees, and our millions of users excite you? As a Software Engineer in Security, you will be responsible for partnering with different engineering teams at Yelp to help build features, tools, and libraries to enable security by default. You’ll also work to identify and fix vulnerabilities in the products we build, as well as work with external security researchers through our public bug bounty program. Where You Come In: Develop and deploy authentication and security related components of Yelp’s website and mobile apps. Create and maintain libraries...

At Yelp, we are on a mission to drive the local economy by connecting users to great businesses. Our team, Ad Market Performance, provides data, analytics, and metrics that enable Yelp to better understand the performance of our advertising products and the quality of the connections we are creating. We track interactions with the product, and aggregate and transform large streams of data as those connections take place. We then serve data that supports and informs key product decisions. Some of our most important use-cases include: understanding the revenue impact of projects at Yelp, serving data as input to train critical machine learning models, and defining a source of truth for our financial data pipelines. On our team, you will be responsible for the design and implementation of our data infrastructure. You will ensure that Millions of complex interactions are efficiently processed every day and help us meet high expectations for our systems’ availability and...

Yelp connects people with great local businesses, but who connects search queries to 100+ million reviews on millions of businesses in under 400 milliseconds? Who can select the perfect ad from millions of possibilities before the user can blink an eye? And after that user has found the perfect restaurant and is happily munching on their quinoa salad, who makes sure our logs are transported, transformed, and indexed so that we can create more awesome experiences for them next time? We do: the data backend engineers who make these systems work fast, efficiently, and at scale. We’re looking for experienced engineers to join our team to build elegant, scalable systems that use NoSQL data stores, data warehouses, batch processing, and stream processing solutions to empower Yelp-wide use of Machine Learning to solve impactful business problems whether it’s providing a delightful user experience, data driven decision-making or ensuring the trustworthiness of Yelp’s content and...

Yelp is looking for security engineers to keep us safe and sane as we build out our desktop, mobile, business owner, and administrative websites. Additionally, Yelp’s future growth in the transactions space has many security implications, both in traditional application security as well as in privacy controls and fraud and risk analysis.  Does having a tremendous impact and broad scope of protecting Yelp’s data, employees, and our millions of users excite you? As a Software Engineer in Security, you will be responsible for partnering with different engineering teams at Yelp to help build features, tools, and libraries to enable security by default. You’ll also work to identify and fix vulnerabilities in the products we build, as well as work with external security researchers through our public bug bounty program. Where You Come In: Develop and deploy authentication and security related components of Yelp’s website and mobile apps. Create and maintain libraries...

At Yelp, we are on a mission to drive the local economy by connecting users to great businesses. Our team, Ad Market Performance, provides data, analytics, and metrics that enable Yelp to better understand the performance of our advertising products and the quality of the connections we are creating. We track interactions with the product, and aggregate and transform large streams of data as those connections take place. We then serve data that supports and informs key product decisions. Some of our most important use-cases include: understanding the revenue impact of projects at Yelp, serving data as input to train critical machine learning models, and defining a source of truth for our financial data pipelines. On our team, you will be responsible for the design and implementation of our data infrastructure. You will ensure that Millions of complex interactions are efficiently processed every day and help us meet high expectations for our systems’ availability and...

Are you the person who leads their team in replacing an aging system, or dives into the guts of a running system to fix that bug everyone is happy to gloss over? Do you love making complex systems easy to use, resilient, and scalable? Keep reading.  Yelp connects people with great local businesses, but who connects search queries to 180M+ reviews on millions of businesses in under 400 milliseconds? Who selects the perfect ad from millions of options in the blink of an eye? And after that user has found the perfect restaurant and is happily munching on their quinoa salad, who makes sure our logs are transported, transformed, and indexed so we can do even better next time? We do! The platform engineers at Yelp make these systems work fast, efficiently, and at scale.  We’re looking for experienced engineers to join our team and build elegant, scalable platforms that bring the potential of data streams to Yelp’s features teams. From transporting events reliably between services...

Want to join a team where your work makes a significant impact? Using the richest source of local business data and user-generated content in the world, Yelp’s application backend engineers work closely with mobile and web developers to generate and power our websites and mobile apps, bringing Yelp’s 224M+ reviews to millions of users all around the world.  Application backend engineers take on a diverse set of challenges across the engineering org, from building products for business owners to get the most out of Yelp, to taking on some of the most meaningful problems in distributed computing and API design. Where You Come In: Build new features on top of our Service-Oriented Architecture Iterate quickly using Continuous Integration / Continuous Deployment principles Articulate a technical vision and execute it Give back by mentoring other engineers and sharing the skills you learn What It Takes to Succeed: Based or willing to relocate in the...

We’re looking for an Information Security (InfoSec) Engineer to join Yelp’s globally expanding Security team and help keep our infrastructure, network, end-points, and applications safe. Are you someone who’s passionate about understanding the behavior of malware, threat hunting, or digital forensics? Do you want to design, build, or optimize solutions to identify suspicious activities and threats, or are you interested in building a custom anomaly detection system? As an InfoSec Engineer, you’ll work on improving our security posture and capabilities. Together with our awesome security engineers, you’ll build custom solutions with creativity and automation to effectively and efficiently perform DFIR that works at scale. You’ll also partner with our internal stakeholders to help architect our future authentication, identity management, and network security systems. Where You Come In: Improve and enhance incident detection and response capabilities while building...

Want to join a team where your work makes a significant impact? Using the richest source of local business data and user-generated content in the world, Yelp’s application backend engineers work closely with mobile and web developers to generate and power our websites and mobile apps, bringing Yelp’s 224M+ reviews to millions of users all around the world.  Application backend engineers take on a diverse set of challenges across the engineering org, from building products for business owners to get the most out of Yelp, to taking on some of the most meaningful problems in distributed computing and API design. Where You Come In: Build new features on top of our Service-Oriented Architecture Iterate quickly using Continuous Integration / Continuous Deployment principles Articulate a technical vision and execute it Give back by mentoring other engineers and sharing the skills you learn What It Takes to Succeed: Based or willing to relocate in the...

Interested in exploring data and finding innovative ways to collect, curate, and make it easily accessible for others to use? How about doing that at scale? Yelp’s unique dataset contains billions of interactions between users and local businesses around the globe. Does working with such a vast amount of data sound exciting? Come and join us! As a Data Engineer in the Data and Analytics Platform team at Yelp you will be responsible for building elegant and scalable data products that serve critical, up-to-date, structured information to support different types of analytics within Yelp. As a core contributor to our burgeoning data engineering efforts, you'll design and own mission-critical data pipelines to enable decision-making, all the way from enabling effective A/B testing to reporting public metrics to the Street. Yelp engineering culture is driven by our values: we’re a cooperative team that values individual authenticity and encourages “unboring” solutions to...

Are you the person who leads their team in replacing an aging system, or dives into the guts of a running system to fix that bug everyone is happy to gloss over? Do you love making complex systems easy to use, resilient, and scalable? Keep reading.  Yelp connects people with great local businesses, but who connects search queries to 180M+ reviews on millions of businesses in under 400 milliseconds? Who selects the perfect ad from millions of options in the blink of an eye? And after that user has found the perfect restaurant and is happily munching on their quinoa salad, who makes sure our logs are transported, transformed, and indexed so we can do even better next time? We do! The platform engineers at Yelp make these systems work fast, efficiently, and at scale.  We’re looking for experienced engineers to join our team and build elegant, scalable platforms that bring the potential of data streams to Yelp’s features teams. From transporting events reliably between services...