Data Scientist, Amazon Transportation Services - Network Planning

Key Skills

Java Programming, Python Programming, C++, SQL, Agile methodologies, Aartificial intelligence, Machine learning techniques, Data Mining, Data Visualization, MATLAB Programming, Data Modeling, R Programming, MySQL, Statistics, Amazon RedShift, VBA, Neural Networks, Mathematics, Data Analysis

Job Description

Do you have proven analytical capabilities to identify business opportunities, develop predictive models and optimization algorithms to help us build state of the art supply chain network? North America Sort Centers (NASC) is experiencing explosive growth and is looking for strong talent to join the Network Planning space for US and Canada. Because we strive for faster delivery to customers a successful candidate must be passionate about building solutions that will help drive a more efficient supply chain network and lower cost of operations. In this role, you will partner with long-term and mid-term planning topology teams, senior operations managers, S&OP, Transportation, labor planning and finance teams, driving optimization and prediction solutions across the network.

Key job responsibilities

We are looking for an experienced and motivated Data Scientist with proven abilities to build and manage modeling projects, identify data requirements, build methodology and tools that are statistically grounded. The candidate will be an expert in the areas of data science, optimization, machine learning and statistics, and is comfortable facilitating ideation and working from concept through execution. To be successful in this role, you must be able to turn ambiguous business questions into clearly defined problems, develop quantifiable metrics and robust machine learning models from imperfect data sources, and deliver results that meet high standards of data quality, security, and privacy.

About the team

Inclusive Team Culture

Here at Amazon, we embrace our differences. We are committed to furthering our culture of inclusion. We have 12 affinity groups (employee resource groups) with more than 87,000 employees across hundreds of chapters around the world. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which reminds team members to seek diverse perspectives, learn and be curious, and earn trust.

Flexibility

It isn’t about which hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We offer flexibility and encourage you to find your own balance between your work and personal lives.

Mentorship & Career Growth

We care about your career growth too. Whether your goals are to explore new technologies, take on bigger opportunities, or get to the next level, we'll help you get there. Our business is growing fast and our people will grow with it.

BASIC QUALIFICATIONS

• Master's degree with 2+ years experience of a Bachelor's degree in computer Science, Statistics, mathematics or a quantitative field with 5+ years of experience
• Experience with statistical analysis, data modeling, machine learning, optimizations, regression modeling and forecasting, time series analysis, data mining, and demand modeling
• Experience applying various machine learning techniques, and understanding the key parameters that affect their performance
• Experience with Predictive analytics (e.g., forecasting, time-series, neural networks) and Prescriptive analytics (e.g., stochastic optimization, bandits, reinforcement learning)
• 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 Python, R, Java, C++ VBA, MATLAB, programming languages
• Experience processing, filtering, and presenting large quantities of data

PREFERRED QUALIFICATIONS

• PhD in Artificial Intelligence, Computer Science, Statistics, Applied Math or a related field
• Previous experience in ML, data scientist or optimization engineer role with a large technology company
• Familiarity with the processes used in Amazon fulfillment network
• Experience in an operational environment developing, fast-prototyping, piloting and launching analytic products
• Excellent written and verbal communication skills. Strong ability to interact, communicate, present, and influence within multiple levels of the organization. Experience in writing academic-styled papers for presenting both the methodologies used and results for data science projects.
• 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. The role requires effective communication with colleagues from computer science, operations research and business backgrounds.