Data Scientist, AWS Support Capacity Planning

About the Role

Amazon Web Services (AWS) Support's Capacity Planning team is looking for a strong, talented Data Scientist to model contact and volume forecasting, discovering insights and identifying opportunities through the use of statistics, machine learning, and combinatorial optimization problems to drive business and operational improvements. You are passionate about building solutions that will help drive a more efficient operations network and optimize cost. In this role, you will partner with data engineering, tooling team, operations, training, workforce management and finance teams, driving optimization and prediction solutions across the network influencing the long-term strategy of the business.

What You Will Do

• Build and manage modeling projects, forecasting solutions, identify data requirements, build methodology and tools that are statistically grounded
• Work in Python or R, building forecasting, predictive and optimization models
• Facilitate ideation and work from concept through execution
• Apply theoretical models in an applied environment

Basic Qualifications

• 2+ years of data scientist experience
• 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
• 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
• Experience applying theoretical models in an applied environment

Preferred Qualifications

• Experience in Python, Perl, or another scripting language
• Experience in a ML or data scientist role with a large technology company

Pay & Benefits

• Base salary range: $136,000.00 - $184,000.00 USD annually (USA, TX, Dallas and USA, WA, Seattle)
• Sign-on payments and restricted stock units (RSUs)
• Comprehensive benefits including: health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave

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