Data Scientist, Business Advancement Science
Amazon.com
Success in any organization begins with its people and having a comprehensive understanding of our workforce and how we best utilize their unique skills and experience is paramount to our future success.. Come join the team that owns the technology behind AWS People Planning products, services, and metrics. We leverage technology to improve the experience of AWS Executives, HR/Recruiting/Finance leaders, and internal AWS planning partners.
A Data Scientist in the AWS Workforce Planning team, will partner with Software Engineers, Data Engineers and other Scientists, TPMs, Product Managers and Senior Management to help create world-class solutions. We're looking for people who are passionate about innovating on behalf of customers, demonstrate a high degree of product ownership, and want to have fun while they make history. You will leverage your knowledge in machine learning, advanced analytics, metrics, reporting, and analytic tooling/languages to analyze and translate the data into meaningful insights. You will have end-to-end ownership of operational and technical aspects of the insights you are building for the business, and will play an integral role in strategic decision-making. Further, you will build solutions leveraging advanced analytics that enable stakeholders to manage the business and make effective decisions, partner with internal teams to identify process and system improvement opportunities. As a tech expert, you will be an advocate for compelling user experiences and will demonstrate the value of automation and data-driven planning tools in the People Experience and Technology space.
Key job responsibilities
* Engineering execution - drive crisp and timely execution of milestones, consider and advise on key design and technology trade-offs with engineering teams
* Priority management - manage diverse requests and dependencies from teams
* Process improvements – define, implement and continuously improve delivery and operational efficiency
* Stakeholder management – interface with and influence your stakeholders, balancing business needs vs. technical constraints and driving clarity in ambiguous situations
* Operational Excellence – monitor metrics and program health, anticipate and clear blockers, manage escalations
To be successful on this journey, you love having high standards for yourself and everyone you work with, and always look for opportunities to make our services better.
A Data Scientist in the AWS Workforce Planning team, will partner with Software Engineers, Data Engineers and other Scientists, TPMs, Product Managers and Senior Management to help create world-class solutions. We're looking for people who are passionate about innovating on behalf of customers, demonstrate a high degree of product ownership, and want to have fun while they make history. You will leverage your knowledge in machine learning, advanced analytics, metrics, reporting, and analytic tooling/languages to analyze and translate the data into meaningful insights. You will have end-to-end ownership of operational and technical aspects of the insights you are building for the business, and will play an integral role in strategic decision-making. Further, you will build solutions leveraging advanced analytics that enable stakeholders to manage the business and make effective decisions, partner with internal teams to identify process and system improvement opportunities. As a tech expert, you will be an advocate for compelling user experiences and will demonstrate the value of automation and data-driven planning tools in the People Experience and Technology space.
Key job responsibilities
* Engineering execution - drive crisp and timely execution of milestones, consider and advise on key design and technology trade-offs with engineering teams
* Priority management - manage diverse requests and dependencies from teams
* Process improvements – define, implement and continuously improve delivery and operational efficiency
* Stakeholder management – interface with and influence your stakeholders, balancing business needs vs. technical constraints and driving clarity in ambiguous situations
* Operational Excellence – monitor metrics and program health, anticipate and clear blockers, manage escalations
To be successful on this journey, you love having high standards for yourself and everyone you work with, and always look for opportunities to make our services better.
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