Back
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Senior, specialized ML and GCP requirements reduce candidate density.
Requires specialized data science and GCP skills but those are moderately transferable across industries.
Explicit 8+ years and 5+ years data-science mandate plus required GCP, SQL, Python increases filtering strictness.
Lead development and deployment of advanced analytical and machine learning solutions across multiple strategic business areas including Sales, Vendor Management, Cloud, eCommerce, Finance, and Supply Chain.
Independently scope, lead, and deliver complex analytical projects, translating data insights into actionable recommendations for diverse stakeholders and business leaders.
Drive solution discovery and technical roadmaps by breaking down ambiguous business problems and collaborating with cross-functional teams.
Bachelor’s degree in a quantitative field; master’s degree preferred.
8+ years functional experience, with at least 5+ years in data science or advanced analytics.
Advanced SQL skills and experience with Google Cloud Platform (BigQuery, Vertex AI preferred).
Proficiency in Python for statistical modeling and in visualization tools like Google Looker, Qlik, PowerBI, or Plotly Dash.
Experienced leader capable of operating with minimal guidance on complex, ambiguous problems and driving high-impact outcomes.
Strong technical expertise in building and deploying predictive and machine learning models, with familiarity in MLOps and GenAI/LLM workflows as a plus.
Comfortable communicating complex analytical insights and building executive-ready presentations for non-technical and technical stakeholders.