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Technical Solutions Consultant, Product and Tools Operations | Consultant in Consulting Job Job at1

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Technical Solutions Consultant, Product and Tools Operations

Boulder, CO

g Tech's Product and Tools Operations team (g PTO) leverages deep user, operational, and technical insights to innovate Google's Ads products into customer experiences that are so intuitive (or automated) that they require no support at all. g PTO partners closely with g Tech's Support, Professional Services, Product Management, and Engineering teams to innovate and simplify our Ads products and build the productivity tools ecosystem for g Tech users. Our mission is to understand and improve the Google Ads Customer Experience (CX) by uncovering data-driven actionable insights at scale. These insights are highly sought after by Product Area leadership to inform business and product decision making, providing the best experiences possible to our users. The Customer Experience (CX) Lab conducts recurring customer satisfaction (CSAT) surveys and Scaled Qualitative Studies - customer-facing research - on behalf of Ads Ecosystem Leadership. We backss the experiences of the direct users of Google's Ads products, distill and analyze these findings, and document and present associated insights to Google Ads leadership. The Customer Experience Lab conducts scale, global customer satisfaction surveys and scaled survey research with advertisers who use Google's Advertising and Marketing Solutions. The team is charged with generating actionable insights for Product Area leadership to inform business and product decision-making to improve the advertiser experience. As a Data Scientist, you will be familiar with Google's advertising products and are passionate about translating data into actionable insights via modeling and analysis. Google creates products and services that make the world a better place, and g Tech's role is to help bring them to life. Our teams of trusted advisors support customers globally. Our solutions are rooted in our technical skill, product expertise, and a thorough understanding of our customers' complex needs. Whether the answer is a bespoke solution to solve a unique problem, or a new tool that can scale across Google, everything we do aims to ensure our customers benefit from the full potential of Google products. To learn more about g Tech, check out our video. Additional Information (Colorado only) Minimum salary of $118,000 bonus equity benefits. Note: Disclosure as required by sb(phone)-5-20) of the minimum salary compensation for this role when being hired into our offices in Colorado. Minimum qualifications: Bachelor's degree in Computer Science or equivalent practical experience. 2 years of experience coding with a general purpose programming language (ie. Java, C/C , Python). Experience working with web technologies including, but not limited to: HTML, CSS, Java Script and HTTP. Customer-facing experience translating technical concepts and solutions to non-technical and executive audiences. Preferred qualifications: Master's degree in Statistics, Computer Science, Engineering, Mathematics, or a related field. Experience with big data and cloud platforms to deploy large-scale data science solutions. Experience in SQL, R, Python, Marketing Analytics, or Software Development. An understanding of media and the statistical algorithms typically used in marketing analytics. - Leverage critical thinking and problem statement definition, decomposition, and problem solving skills to ensure efforts are focused on delivering impactful and actionable outcomes. - Adopt and develop data engineering methodologies including data source and feature identification and integration, data pipelining, feature engineering, data munging, and analysis using script/code driven methods that can translate from research to production. - Analyze and develop explanatory, predictive, and prescriptive models using appropriate mathematical methods including but not limited to frequentist statistics, Bayesian statistics, time-series analysis, supervised and unsupervised machine learning methods, natural language process, and semantic analysis. - Develop and conduct experiments to validate or clarify findings from observational research. - Collaborate across internal, cross-functional stakeholder teams, managing opportunities and challenges in ways that improve processes. Requisition #: 111937574974431942pca3lyuhf
October 7 2021 on ListedBuy
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