Data Scientist, FP&A Solutions

Job Requisition ID #26WD100824Position OverviewWe are seeking a Data Scientist to join our growing FP&A Solutions team within the Finance Transformation organization. This role sits at the intersection of finance, data science, and analytics engineering. The Data Scientist will partner closely with FP&A, Finance, Data Engineering, and business teams to automate financial analysis, develop forecasting and predictive models, build scalable data solutions, and improve the quality and speed of financial decision-making.The ideal candidate combines strong technical skills with financial acumen and can translate complex data into clear recommendations for business and finance leaders.ResponsibilitiesPartner with FP&A and business leaders to identify opportunities where data science and advanced analytics can improve planning, forecasting, and decision-makingDevelop Python-based analytical models, forecasting solutions, simulations, and automation for financial and operational use casesBuild and maintain scalable datasets and analytical workflows using Snowflake, SQL, and PythonDevelop predictive models for areas such as revenue, expenses, headcount, bookings, customer behavior, cash flow, and business performanceImprove financial forecasting through statistical modeling, machine learning, driver-based forecasting, and scenario analysisAutomate recurring FP&A processes, including data preparation, variance analysis, forecast updates, management reporting, and financial performance analysisPerform financial and operational variance analysis to identify key drivers, trends, anomalies, and emerging risksDesign scenario and sensitivity models that help leadership understand potential financial outcomes and tradeoffsIntegrate financial and operational data from multiple systems into trusted analytical datasets within SnowflakeDevelop reusable Python libraries, notebooks, pipelines, and analytical frameworks that improve productivity across Finance and Analytics