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. You'll work with cross-functional teams to develop data infrastructure, analyze complex datasets, and provide actionable insights to leadership.
The position requires strong analytical skills, expertise in Python and SQL programming, and experience with machine learning libraries. You'll be responsible for establishing KPIs, conducting advanced data analysis, and presenting findings to various stakeholders. The role offers the opportunity to impact Google's workforce planning and strategy while working with cutting-edge technologies and large-scale datasets.
As part of Google's gTech organization, you'll help enable Product Areas to scale their outsourced operations efficiently while managing risk. The role combines technical depth with business impact, requiring both analytical rigor and strong communication skills to translate complex analyses into actionable insights.
This is an excellent opportunity for experienced data scientists who want to work at the intersection of workforce strategy and advanced analytics, making a direct impact on Google's global operations while working with state-of-the-art tools and technologies.
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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