Data Scientist, Extended Workforce Solutions

Role Overview: As a Data Scientist within the gTechs Extended Workforce Solutions (xWS) team at Google, you will play a crucial role in enabling Product Areas (PA) to efficiently scale their outsourced operations while managing risks. Your responsibilities will involve translating xWS data strategy into actionable solutions and collaborating with various teams to establish performance objectives and key performance indicators. You will work with complex internal data sets to solve analysis problems and provide insights to technical and business stakeholders through data-driven recommendations. Key Responsibilities: - 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 to solve difficult, non-routine analysis problems, applying advanced investigative methods as needed. - Act as a thought partner to produce insights and metrics for various technical and business stakeholders. - Collaborate with technical stakeholders to provide insights and recommendations driven by data analysis and business objectives. - Execute comprehensive data analysis projects, encompassing data collection, requirements definition, processing, analysis, and ongoing reporting through presentations and deliverables. - Deliver effective presentations of findings and recommendations to multiple levels of leadership, creating visual displays of quantitative information. Qualifications Required: - Masters 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). Additional Details of the Company: The gTechs Extended Workforce Solutions (xWS) team at Google aims to enable businesses to make informed decisions by providing the right talent in the right locations. The team works towards optimizing outsourcing engagements and ensuring that xWS policies and guidelines are followed for growth and success. Collaborating with various teams across Google, the xWS team strives to provide an excellent user experience and minimize administrative burden throughout the Extended Workforce process. Role Overview: As a Data Scientist within the gTechs Extended Workforce Solutions (xWS) team at Google, you will play a crucial role in enabling Product Areas (PA) to efficiently scale their outsourced operations while managing risks. Your responsibilities will involve translating xWS data strategy into actionable solutions and collaborating with various teams to establish performance objectives and key performance indicators. You will work with complex internal data sets to solve analysis problems and provide insights to technical and business stakeholders through data-driven recommendations. Key Responsibilities: - 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 to solve difficult, non-routine analysis problems, applying advanced investigative methods as needed. - Act as a thought partner to produce insights and metrics for various technical and business stakeholders. - Collaborate with technical stakeholders to provide insights and recommendations driven by data analysis and business objectives. - Execute comprehensive data analysis projects, encompassing data collection, requirements definition, processing, analysis, and ongoing reporting through presentations and deliverables. - Deliver effective presentations of findings and recommendations to multiple levels of leadership, creating visual displays of quantitative information. Qualifications Required: - Masters 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). Additional Details of the Company: The gTechs Extended Workforce Solutions (xWS) team at Google aims to enable businesses to make informed decisions by providing the right talent in the right locations. The