Applied Science Manager, Ads Targeting in Edinburgh - Amazon

Job Overview

Location
Edinburgh, Scotland
Job Type
Full Time
Salary
TBC
Date Posted
3 days ago

Additional Details

Job ID
43009762
Job Views
1

Job Description

Job summaryAmazon is investing heavily in building a world class advertising business and we are responsible for defining and delivering a set of audience segments to help advertisers plan media, gain insights about customer behaviors, create targeting strategies, and more. Our teams strive to reinvent the way advertisers and agencies build brands and drive performance in their advertising. By using Amazon's foundation in e-commerce, we help brands connect with the right customers through creative solutions and formats across screens and devices, and in the physical world.Our products form the core of our display advertising business. We ensure that billions of ads served are relevant to our customers. We are highly motivated, collaborative and fun-loving with an entrepreneurial spirit and bias for action. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with a seemingly endless range of new opportunities.We are looking for outstanding candidates to join us as full-time Applied Science Managers. You will lead a team of applied scientists that deliver across core machine learning and related disciplines. You will have a high level of comfort with ambiguity, a deeply analytical mindset with the ability to investigate complex challenges, and can effectively influence across organizations. You work backwards from the customer needs, dive deep into data to understand the issues, conceptualize and build algorithms that will enhance the efficiency of targeting products by working with cross-functional teams. Key job responsibilitiesDevelop vision, charter and long term strategy for the Applied science solutions to enhance critical parts of targeting productsUse machine learning and statistical techniques to create new, scalable solutionsDrive core business analytics and data science explorations to inform key business decisions and algorithm roadmapEstablish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementationHire and develop top talent in machine learning and data science and accelerate the pace of innovation in the groupBuild a culture of innovation and long-term thinking, and showcase this via peer-reviewed publications and whitepapersWork proactively with engineering teams and product managers to evangelize new algorithms and drive the implementation of large-scale complex ML models in productionKeep updated on the industry landscape in the online advertising space and identify algorithm investments to achieve an industry leading solutions.Basic qualificationsExperience programming in Java, C++, Python or related languageExperience directly managing scientists and/or machine learning engineersMaster's degree with applied research experienceExperience of building machine learning models for business applicationPreferred qualification Technical leader with hands-on experience in machine learning: deep learning, online/reinforcement learning, semi-supervised and transfer learningPh.D. degree in in Statistics, CS, Machine Learning, Operations Research or in a highly quantitative field.Knowledge of distributed computing and experience with advanced machine learning librariesAmazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need an adjustment during the application and hiring process, including support for the interview or onboarding process, please contact the Applicant-Candidate Accommodation Team (ACAT), Monday through Friday from 7:00 am GMT - 4:00 pm GMT. If calling directly from the United Kingdom, please dial +44 800 086 9884 (tel:+448000869884). If calling from Ireland, please dial +353 1800 851 489 (tel:+3531800851489).

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