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Senior Data Analyst, Optimization and Simulation
2 months ago
We are seeking a highly skilled Data Scientist to join our North America Sort Centers (NASC) Engineering Data, Product and Simulation Team. As a key member of this team, you will design and implement solutions to address complex business questions using simulation, applying advanced analysis techniques and statistical concepts to draw insights from massive datasets.
Key Responsibilities- Design and implement solutions to address complex business questions using simulation.
- Apply advanced analysis techniques and statistical concepts to draw insights from massive datasets.
- Create intuitive simulations and data visualizations to communicate results to business leaders and stakeholders.
- Work closely with process design engineers, business intelligence engineers, and technical product managers to obtain relevant datasets and create simulation models.
- Review key results with business leaders and stakeholders, ensuring a balance between scientific validity and business practicality.
NASC Engineering's Product and Analytics Team is responsible for developing tools for under the roof simulation and optimization, supporting the needs of internal and external stakeholders. We develop data science tools to evaluate what-if design and operations scenarios for new and existing sort centers, analyzing their robustness, stability, scalability, and cost-effectiveness.
Requirements- 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.
- Proficiency with TABLEAU or other web-based interfaces to create graphic-rich customizable plots, charts, data maps, etc.
- 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.
- Previous experience in 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 of strong baselines, ability to accurately determine cause and effect relations.
- 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.
