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 ideal candidate will have strong technical skills in Python, SQL, and machine learning, coupled with excellent communication abilities to present findings to both technical and non-technical stakeholders. You'll be responsible for establishing KPIs, conducting advanced analysis, and developing solutions that balance optimization with policy compliance.
This position offers the opportunity to work at one of the world's leading tech companies, tackling complex workforce challenges using cutting-edge data science techniques. You'll have the chance to influence strategic decisions that impact Google's global extended workforce operations while working with large-scale datasets and advanced analytical tools.
The role requires a blend of technical expertise, strategic thinking, and business acumen. You'll need to be comfortable with both detailed technical work and high-level strategic planning, making this an excellent opportunity for someone looking to make a significant impact at the intersection of data science and workforce management.
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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