המקום בו המומחים והחברות הטובות ביותר נפגשים
Key job responsibilities
* Lead the design, development, deployment, and innovation of advanced science models in the strategic area of marketing measurement and optimization.
* Partner with scientists, economists, engineers, and product leaders to break down complex business problems into science approaches.
* Understand and mine the large amount of data, prototype and implement new learning algorithms and prediction techniques to improve long-term causal estimation approaches.
* Design, build, and deploy effective and innovative ML solutions to improve components of our ML and causal inference pipelines.
* Publish and present your work at internal and external scientific venues in the fields of ML and causal inference.
* Influence long-term science initiatives and mentor other scientists across AWS.A day in the life
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life Balance
- 3+ years of building models for business application experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- 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
משרות נוספות שיכולות לעניין אותך