Hiring: Data Scientist, FP&A Solutions Company: Autodesk Location: Portland, OR Job Posted Time: 2026-09-03 10:42:13 Target Skills & Keywords : CI/CD, Financial Planning, Git, Machine Learning, NumPy, Pandas, Python, SQL, Snowflake, dbt, scikit-learn About the job Experience: •5+ years of experience in data science, advanced analytics, financial analytics, FP&A analytics, or a related field Required Skills: •The ideal candidate combines strong technical skills with financial acumen and can translate complex data into clear recommendations for business and finance leaders. •Partner with FP&A and business leaders to identify opportunities where data science and advanced analytics can improve planning, forecasting, and decision-making •Develop Python-based analytical models, forecasting solutions, simulations, and automation for financial and operational use cases •Build and maintain scalable datasets and analytical workflows using Snowflake, SQL, and Python •Develop predictive models for areas such as revenue, expenses, headcount, bookings, customer behavior, cash flow, and business performance •Improve financial forecasting through statistical modeling, machine learning, driver-based forecasting, and scenario analysis •Automate recurring FP&A processes, including data preparation, variance analysis, forecast updates, management reporting, and financial performance analysis •Perform financial and operational variance analysis to identify key drivers, trends, anomalies, and emerging risks Qualifications: •Advanced proficiency in Python, including experience with libraries such as pandas, NumPy, scikit-learn, statsmodels, or similar analytical frameworks •Advanced SQL skills and hands-on experience working with Snowflake •In-depth knowledge of FP&A concepts, including budgeting, forecasting, variance analysis, financial modeling, management reporting, and scenario planning •In-depth knowledge of data modeling, data transformation, and analytical data structures •Demonstrated capacity to evaluate data quality and identify inconsistencies, anomalies, and underlying business drivers •Strong communication skills with the ability to explain technical concepts and analytical findings to non-technical audiences •Demonstrated ability to work across Finance, Data, Technology, and business organizations •Bachelor's or master's degree in Data Science, Statistics, Computer Science, Economics, Finance, Mathematics, Engineering, or a related quantitative discipline, or equivalent practical experience •Operational familiarity with Snowpark for Python, dbt, orchestration tools, or modern data-engineering practices Compensation: •Competitive benefits and rewards package Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!