Applied Scientist, Tallent Intellgience

Amazon.com Services LLC•3h ago

United StatesOnsite$142.8K–$193.2KFull-timeMid Level3+ yrs exp

H-1B verified · 2310 LCAs

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Applied Scientist

Do you want a role with deep meaning and the ability to make a major impact? As part of Intelligent Talent Acquisition (ITA), you'll have the opportunity to reinvent the hiring process and deliver unprecedented scale, sophistication
accuracy for Amazon Talent Acquisition operations. ITA is an industry-leading people science and technology organization made up of scientists, engineers, analysts, product professionals and more, all with the shared goal of connecting the right people to the right jobs in a way that is fair and precise. Last year we delivered over 6 million online candidate assessments
helped Amazon deliver billions of packages around the world by making it possible to hire hundreds of thousands of workers in the right quantity, at the right location and at exactly the right time. You’ll work on state-of-the-art research, advanced software tools, new AI systems
machine learning algorithms, leveraging Amazon's in-house tech stack to bring innovative solutions to life. Join ITA in using technologies to transform the hiring landscape and make a meaningful difference in people's lives. Together, we can solve the world's toughest hiring problems. Key job responsibilities The Applied Scientist serves as key contributor supporting recruiting program managers, recruiters
AUTA leadership while providing technical guidance to demand planning, school strategy
supply forecasting teams.
Own science models that power target school recommendations, talent supply projections, and school-to-requisition matching across Amazon's global campus recruiting footprint.
Create data-driven models that optimize school sourcing strategies and recruiter decision-making while considering diversity requirements, data privacy thresholds, and institution-specific characteristics.
Develop and maintain supply forecasting models, school ranking algorithms, and multi-objective optimization systems using time-series forecasting, machine learning, survival analysis, and causal inference techniques.
Lead development of AI systems to automate school identification, supply-demand gap analysis, and strategy recommendations while ensuring transparency and alignment with recruiting objectives.
Plan and implement controlled experiments to test new recommendation mechanisms, validate supply projection accuracy, and optimize school engagement strategies across different markets and role families.
Partner with recruiting program managers, recruiters
downstream engineering teams to translate ambiguous talent supply challenges into well-defined scientific formulations with measurable outcomes. About the team Our team focuses on understanding and improving the experience of both job seekers and the recruiters who support them. You'll be at the intersection of people, data
technology—solving fascinating problems that directly impact how we hire the best talent globally.
3+ years of building models for business application experience - PhD
Master's degree and 4+ years of CS, CE, ML or related field experience - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
Experience using Unix/Linux - Experience in professional software development Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability
other legally protected status. Our 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The 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
location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D 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
parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, VA, Arlington - 142,800.00 - 193,200.00 USD annually

Required skills

PythonJavaC++machine learningdata miningUnixLinuxalgorithmsdata structuresnumerical optimizationhigh-performance computing