Senior Data Scientist, UTR Optimization

Looking for your next challenge? North America Sort Centers (NASC) are experiencing growth and looking for a skilled, highly motivated Data Scientist to join the NASC Engineering Data, Product, and Simulation Team.

About the Role

The Sort Center network is the critical Middle-Mile solution in the Amazon Transportation Services (ATS) group, linking Fulfillment Centers to the Last Mile. The experience of our customers is dependent on our ability to efficiently execute volume flow through the middle-mile network.

Key Job Responsibilities

The Data Scientist will design and implement solutions to address complex business questions using simulation. In this role, you will apply advanced analysis techniques and statistical concepts to draw insights from massive datasets, creating intuitive simulations and data visualizations. Your contributions will span all layers of a data solution, working closely with process design engineers, business intelligence engineers, and technical product managers. You will obtain relevant datasets, create simulation models, and review key results with business leaders and stakeholders, ensuring a balance between scientific validity and business practicality.

On this team, you will significantly impact the entire NASC organization, providing ample opportunities for learning and growth within the NASC Engineering team. As the first dedicated simulation expert, you will have an exceptional opportunity to define and drive the vision for simulation best practices on our team. To be successful in this role, you must turn ambiguous business questions into clearly defined problems, develop quantifiable metrics, and deliver results that meet high standards of data quality, security, and privacy.

About the Team

NASC Engineering’s Product and Analytics Team’s sole objective is to develop tools for under-the-roof simulation and optimization, supporting the needs of our internal and external stakeholders, including Process Design Engineering, NASC Engineering, ACES, Finance, Safety, and Operations. We create data science tools to evaluate what-if design and operations scenarios for new and existing sort centers, understanding their robustness, stability, scalability, and cost-effectiveness. We conceptualize new data science solutions using optimization and machine learning platforms to analyze new and existing processes, identify and reduce non-value-added steps, and increase overall performance and rate. We collaborate with various functional teams to test and pilot new hardware/software solutions.

Location

We are open to hiring candidates to work out of one of the following locations: Toronto, ON, CAN.

Basic Qualifications

• Masters or PhD with limited experience, OR a Bachelors degree in Statistics, Applied Math, Operations Research, Economics, Engineering, or a related quantitative field with three years of working experience as a Data Scientist.
• Experience with statistical analysis, data modeling, optimizations, regression modeling and forecasting, time series analysis, data mining, financial analysis, and demand modeling.
• Experience applying various machine learning techniques and understanding the key parameters that affect their performance.
• Experience in Statistical Software such as R, Weka, SAS, SPSS.
• Proficiency with TABLEAU or other web-based interfaces to create graphic-rich customizable plots, charts, and data maps.
• Able to write SQL scripts for analysis and reporting (Redshift, SQL, MySQL).
• Experience using one or more programming languages (Python, R, Java, C++, MATLAB).
• Experience processing, filtering, and presenting large quantities (100K to Millions of rows) of data.

Preferred Qualifications

• Previous experience in an ML, data scientist, or optimization engineer role with a large technology company.
• Familiarity with the processes used in Amazon fulfillment/sortation network.
• Ability to develop experimental and analytic plans for data modeling processes, use strong baselines, and accurately determine cause and effect relationships.
• Experience in creating data-driven visualizations to describe an end-to-end system.
• Excellent written and verbal communication skills, with the ability to effectively communicate with colleagues from computer science, operations research, and business backgrounds.
• Ability to work on a diverse team or with a diverse range of coworkers.

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate based on race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected status. If you would like to request an accommodation, please notify your Recruiter.

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