Manager, Data Science - Munich - Amazon Europe Core｜Meet.jobs
Salary
71k - 94k EUR Annually
Required skills
Job description
Description
We're a company of pioneers. It's our job to make bold bets, and we get our energy from inventing on behalf of customers. Success is measured against the possible, not the probable. For today’s pioneers, that’s exactly why there’s no place on Earth they’d rather build than Amazon.
When Amazon.com launched in 1995, it was with the mission “to be Earth’s most customer-centric company, where customers can find and discover anything they might want to buy online, and endeavors to offer its customers the lowest possible prices.” This goal continues today, but Amazon’s customers are worldwide now, and have grown to include millions of Consumers, Sellers, Content Creators, and Developers & Enterprises. Each of these groups has different needs, and we always work to meet those needs, innovating new solutions to make things easier, faster, better, and more cost-effective.
Since opening our virtual doors in 1995, Amazon has been pushing the boundaries of possible further and further.
Our entire business works hard to delight our customers – from the second an order is placed online, to the seamless coordination of that order behind the scenes, we strive to stay agile, fluid and intentional. This can be described in one of our core Leadership Principles, which is Bias for Action. This means that our teams’ band together, roll up their sleeves, and are not content with just standing still. We are aiming to become the most customer-centric company on Earth.
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.
Job ID: 1721786 | Amazon Deutschland Servcs GmbH
Responsibilities
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
