BASIC QUALIFICATIONS- 10+ years of professional or military experience- 5+ years of SQL experience- Experience programming to extract, transform and clean large (multi-TB) data sets- Experience with theory and practice of design of experiments and statistical analysis of results- Experience with AWS technologies- Experience in scripting for automation (e.g. Python) and advanced SQL skills.- Experience with theory and practice of information retrieval, data science, machine learning and data miningDESCRIPTIONThe Core Shopping organization is responsible for building the experiences and systems that enable every customer on earth to discover, evaluate, and purchase products and services across the Amazon store. We build core experiences, common across all shopping journeys, as well as experiences tailored to the needs of specific products, businesses or locales. To enable innovation at this scale we empower builders across Amazon to develop these unique shopping experiences within our pages and systems on behalf of customers. The Core Shopping analytics team owns the analytics charter to support data needs for Navigation, Homepage, Inspire, App First, Detail Page, Offer Display, Cart, Checkout, Add-to-Cart and Address experiences.Key job responsibilitiesYou are an Analytics subject matter expert for the Buying Experience team, presenting the best and most relevant product/offer evaluation information for every customer's shopping mission. You will own the core datasets to understand how customers engage with core features on Detail Page to evaluate a product. You will develop a framework to understand the levers that drive a successful experience and build automated reporting with actionable insights for stakeholders to improve it. You will deliver in-depth analysis and recommendations to drive the product roadmap, generating incremental business value. You will partner with Science teams to improve relevance. As the chief evangelist, you will drive adoption of your dataset and mental model across the Consumer organization.A day in the lifeWe build in 5-week Sprints with a 1 week for planning and 4 weeks for execution. Planning Week is used to groom the backlog and to scope & prioritize projects. We reserve the Friday of every Planning Week for a self-directed Learning Day. Over the 4 Execution Weeks, we have regular stand-ups and a mid-sprint demo. Projects will vary sprint to sprint among building derived/aggregate datasets, conducting analysis, and pushing learnings to customers.About the teamCore Shopping Analytics elevates the shopping experience for every customer through data and analytics. We do this by: 1) publishing comprehensive, broadly accessible datasets that reflect the customer experience across the shopping journey; 2) creating tools for Builders across Amazon to consume this data; and 3) identifying opportunities and actionable insights to improve the experiences and systems. We are the analytic counterpart for all the teams under the Core Shopping umbrella. In addition to these teams, we also empower the 350+ Partner teams who build on CS experiences. The 14+ person team includes Data Engineers, Business Intelligence Engineers and Data Scientists.We are open to hiring candidates to work out of one of the following locations:Bangalore, KA, INDPREFERRED QUALIFICATIONS- Experience working directly with business stakeholders to translate between data and business needs- Experience managing, analyzing and communicating results to senior leadershipSalary: . Date posted: 04/08/2024 10:34 AM

Sr. Applied Scientist, Search Quality

Amazon, Bangalore, Any

BASIC QUALIFICATIONS- 3+ years of building machine learning models for business application experience- PhD, or Master's degree and 6+ years of applied research experience- Experience programming in Java, C++, Python or related language- Experience with neural deep learning methods and machine learningDESCRIPTIONDo you want to be part of a new team at Amazon that is making history? Do you want to build technology and new science that millions of people will use? Are you excited about working on large scale Natural Language Processing (NLP), Machine Learning (ML), and Deep Learning (DL)?We are embarking on a multi-year journey to improve the shopping experience for customers globally. Amazon Search team creates customer-focused search solutions and technologies that makes shopping delightful and effortless for our customers. Our goal is to understand what customers are looking for in whatever language happens to be their choice at the moment and help them find what they need in Amazon's vast catalog of billions of products. As Amazon expands to new geographies and new interfaces, we are faced with the unique challenge of maintaining the bar on Search Quality due to the diversity in user preferences, multilingual search and data scarcity in new locales.We are looking for an applied researcher to work on improving search on Amazon using NLP, ML, and DL technology. As an Applied Scientist, you will lead our efforts in query understanding, semantic matching (e.g. is a drone the same as quadcopter?), relevance ranking (what is a "funny halloween costume"?), language identification (did the customer just switch to their mother tongue?), machine translation (猫の餌を注文する). This is a highly visible role with a huge impact on Amazon customers and business. As part of this role, you will develop high precision, high recall, and low latency solutions for search. Your solutions should work for all languages that Amazon supports and will be used in all Amazon locales world-wide. You will develop scalable science and engineering solutions that work successfully in production. You will work with leaders to develop a strategic vision and long term plans to improve search globally.We are growing our collaborative group of engineers and applied scientists by expanding into new areas. This is a position on Search Quality team in Bangalore (India). We are moving fast to change the way Amazon search works. Together with a multi-disciplinary team you will work on building solutions with NLP/ML/DL at its core. Along the way, you'll learn a ton, have fun and make a positive impact on millions of people. Come and join us as we invent new ways to delight Amazon customers.Do not hesitate to reach out if you have some of the following: ability to apply state of the art in large scale Machine Learning (e.g. reinforcement learning, semi-weakly-un-supervised deep learning, natural language understanding), curiosity to learn through controlled experimentation or experience with low latency production systems. Apply now or ping Shailendra Agarwal (https://www.linkedin.com/in/shailendra-agarwal-893a3b11/) to learn more about the different ways you can have huge impact with us.We are open to hiring candidates to work out of one of the following locations:Bangalore, KA, INDPREFERRED QUALIFICATIONS- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.- Experience with large scale distributed systems such as Hadoop, Spark etc.Salary: . Date posted: 04/16/2024 10:20 PM