Data Scientist, Intelligent Talent Acquisition

Do you want a role which will improve the lives of millions that aspire to work for Amazon? As part of the Intelligent Talent Acquisition (ITA) team, you'll have the opportunity to reinvent the hiring process and deliver unprecedented scale, sophistication, and accuracy that Amazon's Talent Acquisition operations need.

ITA is an industry-leading people science and technology organization made up of scientists, engineers, analysts, product professionals and more. Our shared goal is to fairly and precisely connect the right people to the right jobs. Last year, we delivered over 6 million online candidate assessments, replacing the "game of chance" with a merit-based approach that gives candidates the chance to showcase their true skills. Each year we help Amazon deliver billions of packages around the world by making it possible to hire hundreds of thousands of associates at the desired locations and at exactly the desired time. You'll work on state-of-the-art research, advanced software tools, new AI systems, and machine learning algorithms to solve complex hiring challenges. Leveraging Amazon's in-house tech stack built on AWS, you'll have the autonomy and flexibility to bring innovative solutions to life. One day, we can bring these solutions to the rest of the world. Join ITA in using advanced 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.

Within ITA, the Optimized Recruiting and Candidate Analytics (ORCA) team shapes candidates' crucial Day 1 experience through:

Machine learning models and optimization solutions

Large-scale analytics for seamless candidate onboarding

Data-driven staffing and appointment planning across global locations

Balanced solutions promoting both cost efficiency and exceptional experiences

Join our dynamic team of scientists, engineers, and product managers as we continue to work on even broader problems to:

Tackle novel challenges in talent acquisition

Drive innovation in hiring processes

Transform onboarding for millions of future Amazonians

Create solutions that could revolutionize hiring across industries

Help us solve the world's toughest hiring problems while making a meaningful difference in people's lives.

Key job responsibilities

Lead quantitative analyses and develop statistical models using Python, R, and other programming languages to:

Solve complex business challenges through data-driven insights

Identify patterns and trends in large datasets

Create predictive models to optimize business outcomes

Implement and validate statistical methodologies

Develop comprehensive technical documentation including:

Detailed methodology reports

Model specifications and assumptions

Statistical analysis procedures

Validation results and model performance metrics

Implementation guidelines and recommendations

The ideal candidate will combine strong analytical capabilities with clear technical writing skills to translate complex statistical concepts into actionable business insights.

A day in the life

As a data scientist, you'll harness data to enhance our machine learning and optimization models, collaborating with product managers, engineers, and stakeholders to deliver impactful solutions. Our team offers regular mentorship and professional development to help you grow your career while solving challenging problems in talent acquisition.

You'll thrive in this role if you enjoy solving complex problems, working in a fast-paced collaborative environment, and continuously learning new skills.

Basic Qualifications

2+ years of data scientist experience

Experience in Python, Perl, or another scripting language

3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience

3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience

Preferred Qualifications

Experience in a ML or data scientist role with a large technology company

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or 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.