Job
Description
Role Overview: As a Data Scientist at gTechs Extended Workforce Solutions (xWS) team, you will play a crucial role in enabling Google's businesses to make informed decisions by putting the right talent in the right locations. Your primary responsibility will be to translate xWS data strategy, develop data infrastructure, and collaborate with various teams to establish performance objectives and key performance indicators. Additionally, you will work on complex internal data sets, provide insights and recommendations driven by data analysis, and deliver effective presentations to multiple levels of leadership. 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 Product Area (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. 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: - 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). Additional Company Details: gTechs Extended Workforce Solutions (xWS) team enables Product Areas (PA) to effectively and efficiently scale their outsourced operations while managing risk. In this role, you will assist with Extended Workforce planning and strategy, provide tools to support PAs in managing their xWS infrastructure, and ensure xWS policies and guidelines are followed for growth and success. Role Overview: As a Data Scientist at gTechs Extended Workforce Solutions (xWS) team, you will play a crucial role in enabling Google's businesses to make informed decisions by putting the right talent in the right locations. Your primary responsibility will be to translate xWS data strategy, develop data infrastructure, and collaborate with various teams to establish performance objectives and key performance indicators. Additionally, you will work on complex internal data sets, provide insights and recommendations driven by data analysis, and deliver effective presentations to multiple levels of leadership. 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 Product Area (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. 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: - 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). Additional Company Details: gTechs Extended Workforce Solutions (xWS) team enables Product Areas (PA) to effectively and efficiently scale their outsourced operations while managing risk. In this role, you will assist with Extended Workforce planning and strategy, provide tools to
