124 applicants

Company

Original Job Post

Amazon · 2 days ago

Applied Scientist III, Last Mile Science

United States

Full-time

Remote

Senior Level

$150K/yr - $260K/yr

5+ years exp

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Responsibilities

Develop solutions to manage and optimize delivery capacity in the last mile network.

Identify and analyze opportunities to improve existing algorithms and system policies.

Turn high-level business requirements into mathematical models and contribute to software development.

Independently mine and analyze data using programming and statistical analysis software.

Coach and mentor junior scientists in the team.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Machine LearningPythonJavaC++ScalaAlgorithm DesignComplexity AnalysisMentoringBusiness AnalysisProblem-SolvingCommunicationLeadershipDeep LearningLinear ProgrammingQuadratic OptimizationDynamic ProgrammingMonte Carlo SimulationsTime Series ForecastingGeospatial ModelingData ModelingData AnalyticsStatisticsDesign of Experiments/B TestingC ProgrammingMatlabTOADR ProgrammingTableauTibco Spotfire

Required

PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field, or Master's degree and 10+ years of industry or academic research experience

5+ years developing optimization and machine learning algorithms to solve real world business problems

Proficiency in problem scoping, model development, model validation and model implementation into production

Proficiency working with Python and other high-level languages like Java/C++/Scala with at least 5 years of coding experience

Strong fundamentals in problem solving, algorithm design and complexity analysis

Proven track in leading, mentoring, and growing teams of scientists

Excellent written and verbal communication skills with technical and business teams; ability to speak at a level appropriate for the audience

The ideal candidate can present business cases and document the models and analysis and present the results in order to influence important decisions

Preferred

Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.

Bedrock: Model Architecture and Optimization, Application Integration, agent creation and orchestration

LLM models: Using GPT and Claude models, Text Generation and Manipulation, Prompt Tuning and Orchestration, Model Fine Tuning

Langchain: Orchestration, App Building, Model Pipeline Creation and Maintenance

Problem domains: Categorization, Programming, Text Generation, Classification, Automation

Machine Learning

Deep Learning

Linear Programming

Quadratic optimization

Dynamic Programming

Monte Carlo simulations

Time Series Forecasting

Geospatial Modeling

Data modeling, Data Analytics

Statistics, Design of Experiments, A/B Testing

Languages: C, Matlab, TOAD, R, Tableau, Tibco Spotfire, Excel and vbscript. Python (XGBoost, H2O, Scikit Learn, Numpy, Pandas, NLTK, Stats models, Deep Learning), Natural Language Processing. SQL, JMP/JSL (by SAS), Streamlit. Methods such as parallelization, vectorization, multiprocessing, concurrency, batch computing

AWS: EC2, Lambda, Batch, SageMaker, Redshift, Athena, Data wrangler, boto3, SQS, SNS, IAM, etc

Technologies: Network optimization, Mixed Integer programming, Causal inference, etc

Benefits

Equity

Sign-on payments

Full range of medical benefits

Full range of financial benefits

Other benefits

Company

Amazon

Glassdoor

3.7

Amazon is a global tech firm with a focus on e-commerce, cloud computing, digital streaming, and artificial intelligence.

Founded in 1994

Seattle, Washington, USA

10,001+ employees

https://amazon.com

H1B Sponsorship

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2020 (14558)