Sr. Data Scientist, OTS - Data ANCHOR Team

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h3Sr. Data Scientist, OTS - Data ANCHOR Team /h3 pJob ID: | Amazon.com Services LLC /p pThe OTS ANCHOR (Analytics, Insights, and Centralized Hub for OTS Reporting) team is part of the WW IT Operations RME organization, responsible for delivering data solutions that drive operational excellence across Amazon's global IT infrastructure. We build data pipelines, predictive models, develop analytical intelligence frameworks, and create AI-powered solutions that transform how Amazon manages, triages, and resolves IT operational incidents at scale pointing towards the Letting Data Tell the Story north start vision. /p h3Key job responsibilities /h3 ul liDesign, develop, and deploy machine learning models for IT operations forecasting, including incident volume prediction, capacity planning, and workforce demand modeling /li liBuild and maintain severity classification and intelligent triaging models that process thousands of daily IT service tickets across global regions /li liDevelop anomaly detection systems to identify emerging patterns in operational data, enabling proactive incident prevention /li liCreate econometric and statistical frameworks to measure the impact of operational interventions and optimize resource allocation decisions /li liPartner with engineering teams to productionize ML models via automated pipelines using AWS services (SageMaker, Step Functions, Lambda, Redshift) /li liDesign and conduct experiments to empirically validate model performance and operational impact /li liDevelop data quality monitoring frameworks and establish standards for operational data integrity /li liCollaborate with cross-functional teams (ServiceNow platform, Decision Intelligence, Field Operations) to translate complex analytical insights into actionable strategies /li liCommunicate findings, model performance,



and strategic recommendations to senior leaders through written documents and presentations /li liMentor junior data scientists and engineers on the team; raise the bar on scientific rigor and analytical best practices /li liContribute to the team's multi-year science roadmap, identifying new opportunities to apply ML/AI (including Generative AI and agentic architectures) to operational challenges /li /ul h3A day in the life /h3 pAmazon Benefits: /p pAmazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: /p ul liMedical, Dental, and Vision Coverage /li liMaternity and Parental Leave Options /li liPaid Time Off (PTO) /li li401(k) Plan /li /ul h3Basic Qualifications /h3 ul li5+ 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 li4+ years of data scientist experience /li liExperience with statistical models e.g. multinomial logistic regression /li liBachelor's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science /li liExperience building and deploying production machine learning models (classification, regression, time-series forecasting, anomaly detection) /li /ul h3Preferred Qualifications /h3 ul li2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc.



experience /li liExperience managing data pipelines /li liMaster's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science /li liExperience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions /li liStrong written communication skills with ability to influence through documents (6-pagers, science papers) /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, TX, Austin - 159,200.00 - 215,300.00 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

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/85yr6a