Data Scientist, Amazon Transportation Services
Herndon, Virginia, USA
Amazon.com
Free shipping on millions of items. Get the best of Shopping and Entertainment with Prime. Enjoy low prices and great deals on the largest selection of everyday essentials and other products, including fashion, home, beauty, electronics, Alexa...
Are you interested in applying your strong quantitative analysis and big data skills to world-changing problems? Are you interested in driving the development of methods, models and systems for state-of-the-art robotics, transportation and fulfillment systems? If so, then this is the job for you.
The Amazon Transportation Services team is responsible for developing an in-depth understanding of our current network and designing our future networks. We are looking for a motivated and experienced Data Science Lead with outstanding leadership skills, proven ability to develop, automate, and manage analytical models of our systems. The successful candidate will have strong modeling skills and is comfortable owning their own data and working from concept through to execution. This role will also build tools and support structures needed to analyze data, dive deep into data to determine root cause of forecast/buying systems errors & changes, and present findings to business partners to drive improvements.
A qualified candidate must have demonstrated ability to manage large-scale modeling projects, identify requirements and build methodology and tools that are statistically grounded. The ideal candidate will have experience collaborating across organizational boundaries, applying statistical methods to data, developing optimization and machine learning models.
Want to learn more about working with Amazon Transportation Services? Check out this video! https://www.youtube.com/watch?v=en5YqrtBGvY&feature=youtu.be
#NALH
· Bachelor's degree in Engineering, Math, Statistics, Finance, Computer Science, or related field
· 2+ years of quantitative experience in Logistics/Supply Chain, Transportation, Engineering or related Businesses.
· 6+ years of experience with statistical tools and analysis, regression modeling and forecasting, time series analysis. Able to write SQL scripts for analysis and reporting (SQL, MySQL)
· 2+ years of experience with optimization models, preferably building transportation networks.
· Experience using one or more programming languages (e.g. Python)
· Experience with big data: processing, filtering, and presenting large quantities (100K to Millions of rows) of data.
· Experience mentoring junior data scientists, providing guideline and reviewing scientific artifacts
· Experience in advanced machine-learning methodologies (e.g. supervised and unsupervised learning, deep learning etc.)
· Experience using AWS tools such as SageMaker, S3, Lambda and Dynamo DB.
· Experience with clustered data processing (e.g. Hadoop, Spark, Map-reduce, Hive)
· Experience in communicating technically, at a level appropriate for the audience.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
The Amazon Transportation Services team is responsible for developing an in-depth understanding of our current network and designing our future networks. We are looking for a motivated and experienced Data Science Lead with outstanding leadership skills, proven ability to develop, automate, and manage analytical models of our systems. The successful candidate will have strong modeling skills and is comfortable owning their own data and working from concept through to execution. This role will also build tools and support structures needed to analyze data, dive deep into data to determine root cause of forecast/buying systems errors & changes, and present findings to business partners to drive improvements.
A qualified candidate must have demonstrated ability to manage large-scale modeling projects, identify requirements and build methodology and tools that are statistically grounded. The ideal candidate will have experience collaborating across organizational boundaries, applying statistical methods to data, developing optimization and machine learning models.
Want to learn more about working with Amazon Transportation Services? Check out this video! https://www.youtube.com/watch?v=en5YqrtBGvY&feature=youtu.be
#NALH
Basic Qualifications
· Bachelor's degree in Engineering, Math, Statistics, Finance, Computer Science, or related field
· 2+ years of quantitative experience in Logistics/Supply Chain, Transportation, Engineering or related Businesses.
· 6+ years of experience with statistical tools and analysis, regression modeling and forecasting, time series analysis. Able to write SQL scripts for analysis and reporting (SQL, MySQL)
· 2+ years of experience with optimization models, preferably building transportation networks.
· Experience using one or more programming languages (e.g. Python)
· Experience with big data: processing, filtering, and presenting large quantities (100K to Millions of rows) of data.
· Experience mentoring junior data scientists, providing guideline and reviewing scientific artifacts
Preferred Qualifications
· M.S. or Ph.D. in a quantitative field· Experience in advanced machine-learning methodologies (e.g. supervised and unsupervised learning, deep learning etc.)
· Experience using AWS tools such as SageMaker, S3, Lambda and Dynamo DB.
· Experience with clustered data processing (e.g. Hadoop, Spark, Map-reduce, Hive)
· Experience in communicating technically, at a level appropriate for the audience.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Tags: AWS Big Data Computer Science Deep Learning Engineering Finance Hadoop Lambda Machine Learning ML models MySQL Python Robotics SageMaker Spark SQL Statistics
Region:
North America
Country:
United States
Job stats:
17
0
0
Category:
Data Science Jobs
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Business Intelligence Engineer jobs
- Open Lead Data Analyst jobs
- Open MLOps Engineer jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Engineer II jobs
- Open Sr Data Engineer jobs
- Open Data Manager jobs
- Open Data Analytics Engineer jobs
- Open Principal Data Engineer jobs
- Open Power BI Developer jobs
- Open Junior Data Scientist jobs
- Open Business Intelligence Developer jobs
- Open Product Data Analyst jobs
- Open Senior Data Architect jobs
- Open Data Scientist II jobs
- Open Sr. Data Scientist jobs
- Open Manager, Data Engineering jobs
- Open Business Data Analyst jobs
- Open Big Data Engineer jobs
- Open Data Quality Analyst jobs
- Open Data Analyst Intern jobs
- Open Principal Data Scientist jobs
- Open Data Product Manager jobs
- Open ETL Developer jobs
- Open Junior Data Engineer jobs
- Open Data quality-related jobs
- Open Business Intelligence-related jobs
- Open GCP-related jobs
- Open ML models-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open Java-related jobs
- Open Finance-related jobs
- Open Data visualization-related jobs
- Open APIs-related jobs
- Open Deep Learning-related jobs
- Open PyTorch-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open TensorFlow-related jobs
- Open PhD-related jobs
- Open CI/CD-related jobs
- Open NLP-related jobs
- Open Kubernetes-related jobs
- Open Data governance-related jobs
- Open Airflow-related jobs
- Open Hadoop-related jobs
- Open Databricks-related jobs
- Open LLMs-related jobs
- Open Data warehouse-related jobs