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Manager, Data Science

Job ID: 1890380 | Amazon DS Ireland Limited

DESCRIPTION

Job summary
*Flexibility for alternate EU Amazon offices*

Amazon’s mission is to be the most customer centric company in the world. The Workforce Staffing organization is on the front line of that mission by hiring the hourly fulfilment associates who make that mission a reality. To drive the necessary growth and continued scale of Amazon’s associate needs within a constrained employment environment, Amazon is creating a Workforce Staffing research program.

This program will re-invent how Amazon attracts, communicates with, and ultimately hires its hourly associates. This team will own multi-layered research and program implementation to drive deep learnings, process improvements, and strategic recommendations to global leadership. Are you passionate about data? Are you a tinkerer by trade? Do you enjoy questioning the status quo? Do complex and difficult challenges excite you? If yes, this may be the team for you.

As a Manager, Data Science in Workforce Staffing, you will have a strong focus on quantitative data analysis, understanding labor markets and the candidates within them. You will be responsible for building and developing a team, developing roadmaps, and driving business impact through your research at global scale.

You will lead data science projects using your deep expertise in statistics (regressions, multilevel models, structural equation models, etc.), and data collection in a variety of settings (e.g., field studies, surveys, existing large data sets) to define and answer nebulous problems. You leverage your quantitative background to develop and test theoretical frameworks and design experiments. You design, deployment, and conduct analysis of our global candidate research activities, using experimental, quasi-experimental, and RCT methods. You relentlessly obsess over understanding our candidates and what attracts them to Amazon. You work with colleagues across Research, Data Science, Business Intelligence and related teams to enable Amazon find and hire the right candidates for the right roles at an unprecedented scale.

A customer-obsessed, relentless curiosity is a must, as is commitment to the highest standards of methodological rigor that a given study allows. This role provides opportunity for significant exposure to Amazon’s culture, leadership, and global businesses, and furthermore provides significant opportunity to influence how Workforce Staffing matches talent to business demand.

This will be a highly visible role across multiple key deliverables for our global organization. If you are passionate and curious about data, obsess over customers, love questioning the status quo, and want to make the world a better place, let’s chat. #scienceemea

BASIC QUALIFICATIONS

  • Master’s degree in a relevant quantitative discipline with 7+ years industry experience
  • Experience independently designing and executing research or evaluations aimed at answering ambiguous, difficult-to-test questions
  • Comfortable with at least one computational language (e.g., R, Python)
  • Experience building and managing teams with 3+ years of line management experience
  • Demonstrated experience of influencing partner teams with research


PREFERRED QUALIFICATIONS

  • Experience converting research studies into tangible real-world changes
  • Experience navigating conflicting priorities and ambiguous problems
  • Demonstrated experience conveying complex subject matter to clients and stakeholders
  • Demonstrated ability mentoring, coaching, and influencing colleagues, collaborators, and stakeholders
  • Demonstrated written and verbal communication skills



Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.