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, machine learning, and programming with business acumen to optimize Google's extended workforce strategy.
The position requires a strong background in STEM with either 4 years of industry experience or a PhD in Data Science. You'll be working with cutting-edge technologies and frameworks including Python, SQL, and various ML libraries like TensorFlow and Scikit-learn. The role involves analyzing complex datasets, developing data infrastructure, and creating actionable insights that influence strategic decisions.
As a Data Scientist at Google, you'll collaborate with diverse teams across the organization, from engineering to leadership, helping establish and track key performance indicators for xWS projects. You'll be responsible for translating complex technical concepts into clear recommendations for both technical and non-technical stakeholders.
The role offers an opportunity to impact Google's global workforce strategy, working with one of the world's leading technology companies. You'll be part of a team that enables Product Areas to scale their outsourced operations efficiently while managing risk. The position requires both technical excellence and strong communication skills, as you'll be presenting findings to various levels of leadership and creating visual representations of quantitative information.
This is an ideal role for someone who combines strong analytical capabilities with business acumen, and who is passionate about using data science to solve complex organizational challenges. You'll be at the forefront of developing solutions that help Google optimize its extended workforce operations while ensuring compliance with policies and guidelines.
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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