Data Scientist, Extended Workforce Solutions
Description For Data Scientist, Extended Workforce Solutions
Google's Extended Workforce Solutions (xWS) team is seeking a Data Scientist to drive data-driven decision making for their outsourced operations. This role combines technical expertise in data science with business strategy, focusing on enabling Google's Product Areas to scale their extended workforce effectively. The position requires strong analytical skills, expertise in machine learning and statistical modeling, and the ability to communicate complex findings to various stakeholders. You'll work with cutting-edge technology and large datasets while helping shape Google's workforce strategy. The role offers the opportunity to impact Google's global operations through data-driven insights and solutions, making it ideal for candidates passionate about applying data science to solve complex business challenges. Working at Google, you'll be part of a company known for innovation and technical excellence, with access to world-class resources and the chance to work on projects that affect millions of users.
Responsibilities For Data Scientist, Extended Workforce Solutions
- Translate Extended Workforce Solutions (xWS) data strategy and leverage expertise to deliver solutions for users. Develop the data infrastructure, project planning, and solution roadmap development
- Collaborate with Leadership, Engineering, and PA teams to establish performance objectives, key performance indicators (KPI), and other success metrics for xWS projects and processes
- Work with large, complex internal data sets; solve difficult, non-routine analysis problems, applying advanced investigative methods as needed
- Collaborate with technical stakeholders to provide insights and recommendations driven by data analysis and business objectives
- Deliver effective presentations of findings and recommendations to multiple levels of leadership, creating visual displays of quantitative information
Requirements For Data Scientist, Extended Workforce Solutions
- Master's degree in a STEM field or equivalent practical experience
- 4 years of industry or PhD Data Science experience
- Experience in causal inference, A/B testing, statistical modeling, or Machine Learning (ML)
- Experience with programming in SQL and Python, leveraging ML or statistical libraries (e.g. TensorFlow, Scikit-learn, XGBoost, Keras, Pandas)
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