Data Scientist II - AMZ27351.1

About the role

Design and implement scalable and reliable approaches to support or automate decision making throughout the business. Apply a range of data science techniques and tools combined with subject matter expertise to solve difficult business problems and cases in which the solution approach is unclear.

Responsibilities

• Acquire data by building the necessary SQL / ETL queries.
• Import processes through various company specific interfaces for accessing Oracle, RedShift, and Spark storage systems.
• Build relationships with stakeholders and counterparts.
• Analyze data for trends and input validity by inspecting univariate distributions, exploring bivariate relationships, constructing appropriate transformations, and tracking down the source and meaning of anomalies.
• Build models using statistical modeling, mathematical modeling, econometric modeling, network modeling, social network modeling, natural language processing, machine learning algorithms, genetic algorithms, and neural networks.
• Validate models against alternative approaches, expected and observed outcome, and other business defined key performance indicators.
• Implement models that comply with evaluations of the computational demands, accuracy, and reliability of the relevant ETL processes at various stages of production.

Requirements

• Master’s degree or foreign equivalent degree in Statistics, Applied Mathematics, Economics, Engineering, Computer Science, or a related field and one year of experience in the job offered or a related occupation.
• Bachelor’s degree or foreign equivalent degree in Statistics, Applied Mathematics, Economics, Engineering, Computer Science, or a related field and five years of progressive post-baccalaureate experience in the job offered or a related occupation as equivalent to the Master’s degree and one year of experience.
• One year of experience in the following skill(s):
  • building statistical models and machine learning models using large datasets from multiple resources;
  • writing SQL scripts for analysis and data migration;
  • applying specialized modelling software including R, Python, or MATLAB.

Qualifications

• Master’s degree or foreign equivalent degree in Statistics, Applied Mathematics, Economics, Engineering, Computer Science, or a related field and one year of experience in the job offered or a related occupation.
• Bachelor’s degree or foreign equivalent degree in Statistics, Applied Mathematics, Economics, Engineering, Computer Science, or a related field and five years of progressive post-baccalaureate experience in the job offered or a related occupation as equivalent to the Master’s degree and one year of experience.
• One year of experience in the following skill(s):
  • building statistical models and machine learning models using large datasets from multiple resources;
  • writing SQL scripts for analysis and data migration;
  • applying specialized modelling software including R, Python, or MATLAB.

Skills

• Building statistical models and machine learning models using large datasets from multiple resources.
• Writing SQL scripts for analysis and data migration.
• Applying specialized modelling software including R, Python, or MATLAB.

Benefits

• Comprehensive benefits including health insurance, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage.
• 401(k) matching.
• Paid time off.
• Parental leave.

Pay

• Base pay range: $175425 - $212800 (yr)

Schedule

• (40 hours / week, 8:00am-5:00pm)