Amazon · 5 days ago
Applied Scientist III, Last Mile Science
Wonder how qualified you are to the job?
Maximize your interview chances
CrowdsourcingDelivery
H1B SponsorshipActively Hiring
Insider Connection @Amazon
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.
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
Amazon is a global tech firm with a focus on e-commerce, cloud computing, digital streaming, and artificial intelligence.
H1B Sponsorship
Amazon has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Trends of Total Sponsorships
2023 (14000)
2022 (23375)
2021 (15334)
2020 (14558)
Funding
Current Stage
Public CompanyTotal Funding
$8.11BKey Investors
Kleiner Perkins
2023-01-03Post Ipo Debt· $8B
2001-07-24Post Ipo Equity· $100M
1997-05-15IPO· nasdaq:AMZN
Recent News
2024-06-06
2024-06-06
The News Tribune
2024-06-05
Company data provided by crunchbase