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...

Job Description Stanley Black & Decker Inc. (SBD) is the largest tool manufacturer in the world (Fortune 200). SBD is a world-leading provider of tools and storage, commercial electronic security and engineered fastening systems, with unique growth platforms and a track record of sustained profitable growth. https://www.stanleyblackanddecker.com/ Product Documentation Specialist - PDM (UK, Remote) Location: UK Virtual – Spennymoor/Durham area preferred Purpose: As a Product Documentation Specialist, you’ll be part of our Documentation team located in Spennymoor, UK. Work is fully remote. Product Data Management Systems (PDM) experience required, preferred in Windchill (or comparable software package). Responsibilities Initiate Engineering Changes as required for all New Product, Derivative Mods, Design to Value and Value Improvement Changes Revise and update documentation as requested Assist group with achieving Windchill Change Notice...

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...

At CrowdStrike we’re on a mission - to stop breaches. Our groundbreaking technology, services delivery, and intelligence gathering together with our innovations in machine learning and behavioral-based detection, allow our customers to not only defend themselves, but do so in a future-proof manner. We’ve earned numerous honors and top rankings for our technology, organization and people – clearly confirming our industry leadership and our special culture driving it. We also offer flexible work arrangements to help our people manage their personal and professional lives in a way that works for them. So if you’re ready to work on unrivaled technology where your desire to be part of a collaborative team is met with a laser-focused mission to stop breaches and protect people globally, let’s talk. About the Role: CrowdStrike EndPoint Protection team is expanding. We are looking for data scientists to help us build solutions with detections based on indicators of risk, analytics and risk...

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...

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...

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...

Skills Benchmark Data Scientist Senior - People Advisory Services Open to Flexible Working EY People Advisory Services are currently investing in an exciting global initiative to develop a suite of reskilling products aiming to address pressing societal reskilling challenges. The world of work is changing. Many countries are experiencing an overcapacity in roles that are becoming redundant and extreme shortages in high-demand skills are expected by 2030. The digital revolution requires employees to rapidly and routinely reskill to do new things and old things differently. Reinventing education for an age of continuous learning is therefore a top corporate and government priority. Progressive corporations across industries are increasingly investing in reskilling programs to transform their human capital. However, learning and development functions are often ill-equipped and underfunded to drive this change.  The suite of reskilling products we are currently...

Since 2011, General Assembly has transformed tens of thousands of careers through pioneering, experiential education in today’s most in-demand skills. As featured in The Economist, Wired, and The New York Times, GA offers training in web development, data, design, business, and more, both online and at campuses around the world. Our global professional community boasts 40,000 full- and part-time alumni — and counting. In addition to fostering career growth for individuals, GA helps employers cultivate top tech talent and spur innovation by transforming their teams through strategic learning. More than 21,000 employees at elite companies worldwide have honed their digital fluency with our corporate training programs. GA has also been recognized as one of Deloitte’s Technology Fast 500, and Fast Company has dubbed us leaders in World-Changing Ideas as well as the #1 Most Innovative Company in Education. We are looking for a Data Scientist to lead instruction for the...

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...

Your role in the team Data Discovery and Decision Science (D3) is the research, analytics, and data management organization at Allstate. We are solving some of today’s most complicated analytics problems, making the lives of our Allstate colleagues easier and more productive, and driving our mission to deliver critical protection solutions to our customers. Led by Allstate’s Chief Data Officer, the Data Strategy team is the foundation for data-driven decision making at Allstate. We are avid about exploring new ways to grow our organization’s capabilities that evolves with the data needs required to deliver solutions for our enterprise business priorities. D3’s Data Science team supporting Claims is a key business partner who works closely with leaders and end-users to develop solutions that will deliver the most advanced claim experience on the planet. We leverage data, technology, analytic capabilities, and business relationships to develop solutions to drive outstanding...

Job description The Team: The capabilities within the Clara Analytics Team are vast as they are unique: from Innovations – spearheading the creation of audit applications such as the Inventory Count Tool, and Confirmations Tool, to the performance of D&A procedures by the ERP, General Ledger and Bespoke capabilities. At the face of the team, the Business Relationship Group bridge the gap between audit teams and D&A specialists – providing one point of contact for D&A interpretation, queries and support. Whether it involves providing workshops to audit teams, presenting proof of concept solutions to leadership, or engaging in in-depth analysis using our market leading technology capabilities, the Clara Analytics Team leverages a wide variety of skillsets. There are technical specialists performing D&A procedures, and there are those with in-depth audit experience; some of us enjoy giving presentations, for others, their strengths lie in analysing...

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...