Data Scientist II, Inflow and Capacity Optimization, Operations Risk Compliance At Amazon, we're revolutionizing the way compliance is done with a vision of achieving full automation at zero risk through risk-aware machine learning and optimization solutions. Our ORC Science team plays a key role in driving this transformation by developing state-of-the-art ML solutions for classification and we are constantly innovating to improve the efficiency of our global classification operations, where scale, complexity, and speed are at the forefront of everything we do. We are seeking a talented and driven Data Scientist to join our team to work on forecasting and optimization solutions to optimize inflow and capacity planning for classification. In this role, you will have the opportunity to work on complex and impactful challenges, blending machine learning, optimization, and data science to solve problems at scale. Your work will directly improve the efficiency, automation and quality of Amazon's classification operations, ultimately driving better outcomes for customers and associates worldwide. Build state-of-the art, robust and scalable (Probabilistic) Forecasting and (Stochastic) Optimization solutions for optimal and risk-aware inflow and capacity planning in compliance Design and engineer algorithms using Cloud-based state-of-the art software development techniques Think multiple steps ahead and develop for long term solutions while continuously delivering incremental improvements Prototype fast, ensure early adoption via pilots, integrate feedback into the models, and iterate Conceptualize and operationalize (i.e. deliver) your science solutions by closely partnering with internal customers, understand their needs/blockers and influence their roadmap Lead complex analysis and clearly communicate results and recommendations to leadership Act as an active member of the science community by researching, applying and publishing internally/externally the latest OR/ML techniques from both academia and industry Basic Qualifications Master's degree in operations research, applied mathematics, theoretical computer science, or equivalent Experience with machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance Experience with data scripting languages (e.g. SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab) Experience with AWS services including S3, Redshift, Sagemaker, EMR, Kinesis, Lambda, and EC2 Experience diving into data to discover hidden patterns and of conducting error/deviation analysis 2+ years experience with Time-Series Probabilistic Forecasting models and Stochastic Optimization algorithms (e.g. Stochastic Linear Programming, Stochastic Dynamic Programming) Sharp analytical abilitie... Complex Analysis, Academia, Python, R, Driving, Prototyping, Analysis Tools, Applied mathematics, Amazon Web Services, Risk Compliance, Amazon Redshift, Contracts, Design, Diving, Communication, Linear programming, Fast Pace, Leadership, Publications, Operations, Analysis, EMR, Operations research, Conferences, SAS, Time series, Data analysis, Research, Capacity Planning, Science, Problem Management, Algorithms, Communication, Machine learning, MATLAB, Technology, Forecasting, Scripting language, Optimization, SQL, Data Science, Dynamic Programming, Publishing, Service, Classification, Patent, Risk Awareness, Journal, Automation Originele vacature is te vinden op StepStone.be – Maak nu een Jobagent aan op StepStone en vind je droombaan! https://bit.ly/2jPYsZC Vind gelijkaardige jobs, informatie over werkgevers en carrièretips op StepStone.be! Original job ad is published on StepStone.be - Set up a Jobagent at StepStone now and find your dream job! https://bit.ly/2jPYsZC For similar jobs, information on employers and career tips visit StepStone.be! La version originale de cette offre d'emploi est disponible sur stepstone.be – Créez maintenant votre Job Agent sur StepStone et trouvez le job de vos rêves ! https://bit.ly/2jPYsZC Trouvez des jobs similaires, des informations sur les employeurs qui recrutent et des conseils de carrière sur stepstone.be!
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