Data Scientist, Extended Workforce Solutions

Google is a leading global technology company specializing in internet-related services and products.
Data
Mid-Level Software Engineer
In-Person
5,000+ Employees
4+ years of experience
AI · Enterprise SaaS

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 diverse stakeholders.

The ideal candidate will have a strong foundation in STEM with at least 4 years of data science experience or a PhD. They will work with cutting-edge technologies and tools, including Python, SQL, and various ML libraries. The role offers the opportunity to impact Google's global workforce strategy through data-driven insights and solutions.

Key responsibilities include developing data infrastructure, establishing KPIs, analyzing complex datasets, and presenting findings to leadership. The role requires expertise in causal inference, A/B testing, and machine learning, with preferred experience in NLP and Large Language Models.

Working at Google means joining a company committed to diversity, equality, and inclusion, with a global reach and collaborative culture. The position offers the chance to work on meaningful projects that directly influence how Google manages its extended workforce, making it an excellent opportunity for data scientists who want to combine technical expertise with business impact.

Last updated 4 days ago

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

Python
  • 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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