Data Scientist II, Inflow and Capacity Optimization, Operations Risk Compliance
Description For Data Scientist II, Inflow and Capacity Optimization, Operations Risk Compliance
Amazon's ORC Science team is at the forefront of revolutionizing compliance through advanced machine learning and optimization solutions. We're seeking a Data Scientist to join our innovative team focused on forecasting and optimization for classification operations. This role combines cutting-edge ML, optimization, and data science to solve complex problems at scale.
As a Data Scientist II, you'll be instrumental in developing probabilistic forecasting and stochastic optimization solutions that directly impact Amazon's classification operations worldwide. You'll work with state-of-the-art tools and technologies, including AWS services, to build robust and scalable solutions that drive automation and efficiency.
The ideal candidate brings strong analytical skills, experience with time-series forecasting and optimization algorithms, and the ability to translate complex technical concepts into actionable insights. You'll have the opportunity to influence product roadmaps, conduct groundbreaking research, and see your solutions deployed at Amazon's massive scale.
This role offers exceptional growth opportunities, working alongside talented scientists and engineers in a fast-paced, innovative environment. You'll be part of a team that values continuous learning, publication of research, and direct impact on Amazon's global operations. If you're passionate about applying advanced analytics to real-world problems and want to shape the future of automated compliance systems, this role offers the perfect blend of challenge and opportunity.
Responsibilities For Data Scientist II, Inflow and Capacity Optimization, Operations Risk Compliance
- Build state-of-the art forecasting and optimization solutions for compliance planning
- Design and engineer algorithms using Cloud-based software development techniques
- Prototype solutions and ensure early adoption via pilots
- Partner with internal customers to deliver science solutions
- Lead complex analysis and communicate results to leadership
- Research and publish latest OR/ML techniques internally/externally
- Develop long-term solutions while delivering incremental improvements
Requirements For Data Scientist II, Inflow and Capacity Optimization, Operations Risk Compliance
- Master's degree in operations research, applied mathematics, theoretical computer science, or equivalent
- Experience with machine learning/statistical modeling data analysis tools and techniques
- Experience with data scripting languages (SQL, Python, R etc.)
- Experience with AWS services including S3, Redshift, Sagemaker, EMR, Kinesis, Lambda, and EC2
- 2+ years experience with Time-Series Probabilistic Forecasting models and Stochastic Optimization algorithms
- Sharp analytical abilities
- Excellent written and verbal communication skills
- Ability to handle ambiguity and fast-paced environment
