Senior Data Scientist, Ads Planning Metrics
Miejsce pracy : Warszawa
Technologies we use
Expected
About the project
Help serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next.
Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We’re made up of multiple teams, building Google’s Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale.
Your responsibilities
Design and analyze experiments, including randomized controlled trials, to measure and guide the impact of Ads Planning initiatives.Define key performance indicators and their associated value for advertisers and Google across various Ads Planning initiatives.Formulate metrics that capture the impact of Ads Planning tools on advertiser spend, reach, Google business growth, and agreement value.Develop methodologies for conducting impact studies for agencies and third-party tools.Collaborate with cross-functional teams to ensure the accuracy and feasibility of measurement strategies.Our requirements
Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field or equivalent practical experience.8 years of experience in using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) or 5 years experience with a Master's degree.Experience with methods of statistical data analysis (e.g., linear models, hypothesis testing, multi-level models, Bayesian methods, etc.).Experience with A / B testing or other experimental design methodologies.Optional
Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.Experience in Mathematical programming and modeling and statistics.Experience with Bayesian Statistics.Benefits
sharing the costs of sports activitiesprivate medical caresharing the costs of foreign language classessharing the costs of professional training & courseslife insuranceremote work opportunitiesfruitscorporate products and services at discounted pricesintegration eventsdental carecorporate gymcorporate sports teamretirement pension plansaving & investment schemecorporate libraryno dress codecoffee / teadrinksparking space for employeesleisure zoneextra social benefitsmeal passesredeployment packageemployee referral programopportunity to obtain permits and licensescharity initiativesextra leave