06 ott - Asti
Amazon
h3Data Scientist, Amazon Ads Marketing Decision Science /h3 pJob ID: | Amazon.com Services LLC /p pAmazon Advertising drives billions of ad impressions and millions of clicks daily, powering discovery and sales for advertisers across Amazon's Retail and Marketplace businesses. The Ads Marketing Decision Science team sits at the intersection of data science and marketing strategy. We build intelligent, data-driven systems that analyze advertiser behavior at large scale to deliver the right guidance to the right advertiser at the right time. Our work spans behavioral modeling, content intelligence, automated decision systems, and GenAI applications, enabling personalized marketing experiences that help advertisers make smarter advertising decisions and grow their business on Amazon. /p pWe are looking for a Data Scientist who brings strong fundamentals in machine learning, causal inference, and statistical modeling to solve real advertiser problems. You will build predictive models, design experiments, develop segmentation frameworks, and leverage GenAI capabilities where applicable, taking solutions end-to-end from proof-of-concept to production at scale. You will partner closely with scientists, engineers, and product managers on a daily basis to prototype rapidly, ensure data integrity in production systems, and deliver measurable advertiser impact. If you are passionate about solving real-world problems with next level science, come join us as we innovate and make history. /p h3Key job responsibilities /h3 ul liDefine and execute data science solutions end-to-end, from problem framing through production deployment. /li liBuild machine learning models (classification, regression, clustering, ranking) for advertiser segmentation, propensity modeling, and recommendations. /li liApply causal inference and experimentation methods (A/B testing, difference-in-differences, propensity score matching) to measure the impact of marketing interventions.
/li liAnalyze large-scale advertiser behavioral data to identify trends, surface growth opportunities, and support optimal decision making. /li liCollaborate with colleagues across science and engineering disciplines for fast turnaround proof-of-concept prototyping at scale. /li liEstablish and drive data hygiene best practices to ensure coherence and integrity of data feeding into production ML/AI solutions. /li liLeverage GenAI and LLM capabilities to enhance science products where applicable /li /ul h3A day in the life /h3 pYou will solve real-world problems by analyzing large volumes of advertiser data, building predictive models, designing experiments, and measuring business impact. You will prototype rapidly, validate ideas with data, and partner with engineers to productize and scale successful solutions. You will collaborate daily with scientists, engineers, and product managers across the advertising organization, working in a cross-functional, fast-paced environment where data drives decisions and helps advertisers grow. /p h3About the team /h3 pWe are a team of Applied Scientists, Research Scientists, Data Scientists, and Business Intelligence Engineers with deep expertise in ML, NLP, Gen-AI, RL, and causal inference, from a diverse range of backgrounds. We partner closely with strong engineers, product managers, and sales leaders who bring ads-industry depth and experience building scalable modeling and software solutions. /p h3Basic Qualifications /h3 ul li1+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.)
experience /li li2+ years of data/research scientist, statistician or quantitative analyst in an internet-based company with complex and big data sources experience /li liBachelor's degree /li /ul h3Preferred Qualifications /h3 ul liKnowledge of statistical packages and business intelligence tools such as SPSS, SAS, S-PLUS, or R /li liExperience with clustered data processing (e.g., Hadoop, Spark, Map-reduce, and Hive) /li /ul pAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. /p pOur inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. /p pThe base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life ADD insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . /p pUSA, NY, New York - 119,200.00 - 178,400.00 USD annually /p pAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Veterans, military spouses, and people with disabilities are encouraged to apply. /p #J-18808-Ljbffr
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