Data Scientist, AWS Talent and Development Research Science

Amazon Web Services
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Job Description

Job summary

The AWS Talent and Development (T&D) Research Science team is seeking an agile and motivated Data Scientist. In this role, you will invent and build on behalf of candidates, experiment and test new ideas, evangelize successes, and drive consistency.

The ideal candidate is an independent Data Scientist who can source data, cleanse, analyze, refine, enrich, model, present, automate and document our business data pipelines. You will always be on the lookout for ways to optimize the information flow process, stay on top of latest trends in data warehousing and be able to coordinate and work on multiple, related projects.

Key job responsibilities

  • Collaborate with researchers, software developers, and business leaders to define business processes and provide analytical support
  • Leverage code to analyze complex datasets and design, develop and evaluate data transformations to solve specific business problems
  • Build scalable, efficient, and automated data processes to facilitate customer-facing reporting
  • Automate TA processes to streamline business operations
  • Communicate verbally or in writing to business customers / leadership to sharing insights and recommendations

A day in the life

In this role, the candidate will work with fellow scientists on the team and across other science teams to design and conduct research, generate hypotheses, analyze large scale data, and help business and HR partners turn the results of their research and analysis into policies, programs, and actions that have a major impact on AWS business and employee experience. The candidate will have the opportunity to directly work with HR and business leaders at all levels across AWS. We are looking for creative thinkers who can combine a strong scientific toolbox with a desire to learn from others, and who know how to execute and deliver on big ideas.

About the team

The AWS Talent and Development (T&D) Research Science team’s mission is to build evidence-based insights that solve business-critical problems, drive long-term organizational effectiveness, and support the growth and impact of AWS employees across the employee life cycle. We are an interdisciplinary team of scientists leading the research vision and execution for the entire AWS T&D organization. We use innovative science and technology to proactively solve for high-impact HR problems to facilitate AWS business growth and to build an optimal employee experience.

BASIC QUALIFICATIONS

  • Degree in Computer Science or related engineering field
  • 7+ years of experience in the analytics or related field
  • Self-sufficient in data analysis
  • 3+ years experience with Python scripting
  • Fluent in SQL
  • Proven experience in with SQL and large data sets, data modeling, ETL development, and data warehouse, or similar skills
  • Experience with AWS technologies stack including Redshift, RDS, S3, EMR or similar solutions build around Hive/ Spark etc.
  • Experience operating very large data warehouses or data lakes.
  • Familiarity with BI Tools such as QuickSight, Tableau, and MicroStrategy
  • Understands data warehouse design

PREFERRED QUALIFICATIONS

  • Demonstrable expertise in dimensional modeling and Data Warehouse tuning
  • Experience with building data pipelines and applications to stream and process datasets at low latencies
  • Strong understanding of information security as applied to handling sensitive data
  • Meets/exceeds Amazon’s leadership principles requirements for this role
  • Meets/exceeds Amazon’s functional/technical depth and complexity for this role

Company Info.

Amazon Web Services

Amazon Web Services, Inc. (AWS) is a subsidiary of Amazon providing on-demand cloud computing platforms and APIs to individuals, companies, and governments, on a metered pay-as-you-go basis. These cloud computing web services provide a variety of basic abstract technical infrastructure and distributed computing building blocks and tools. One of these services is Amazon Elastic Compute Cloud (EC2).

  • Industry
    Information Technology
  • No. of Employees
    79,196
  • Location
    410 Terry Ave N, Seattle, WA, USA
  • Website
  • Jobs Posted

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