Data Scientist, FP&A Solutions

California, USA - Remote

Oregon, USA - Remote

Portland, OR, USA

Ontario, CAN - Remote

Full time

26WD100824

** Job

Requisition  #*
* 26WD100824

** Position Overview*
* We 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.

** Responsibilities*
* + 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

+ Design scenario and sensitivity models that help leadership understand potential financial outcomes and tradeoffs

+ Integrate financial and operational data from multiple systems into trusted analytical datasets within Snowflake

+ Develop reusable Python libraries, notebooks, pipelines, and analytical frameworks that improve productivity across Finance and Analytics teams

+ Partner with Data Engineering teams to improve data quality, architecture, governance, and performance

+ Translate complex analyses and model outputs into concise insights and recommendations for finance and business stakeholders

+ Establish appropriate model validation, monitoring, documentation, and data-quality controls

+ Promote adoption of data science, automation, and AI capabilities within the Finance organization

** Minimum Qualifications*
* + 5+ years of experience in data science, advanced analytics, financial analytics, FP&A analytics, or a related field

+ Advanced proficiency in Python, including experience with libraries such as pandas, Num Py, scikit-learn, stats models, or similar analytical frameworks

+ Advanced SQL skills and hands-on experience working with Snowflake

+ Strong understanding of FP&A concepts, including budgeting, forecasting, variance analysis, financial modeling, management reporting, and scenario planning

+ Experience developing statistical, predictive, or machine-learning models against large financial or operational datasets

+ Experience building automated and reproducible analytical workflows

+ Strong understanding of data modeling, data transformation, and analytical data structures

+ Ability 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

** Preferred Qualifications*
* + Experience working directly within or closely supporting a corporate FP&A organization

+

Experience with financial forecasting, time-series analysis, driver-based planning, Monte Carlo simulation, or scenario modeling

+ Experience developing production-quality analytical solutions using Snowflake and Python

+ Familiarity with Snowpark for Python, dbt, orchestration tools, or modern data-engineering practices

+

Experience with financial planning platforms such as Adaptive Planning, Anaplan, Oracle EPM, or similar systems

+

Experience with visualization and BI platforms such as Power BI, Tableau, or Looker

+ Experience applying machine learning, generative AI, or intelligent automation to Finance use cases

+ Familiarity with software development practices including Git, testing, CI/CD, code review, and version control

+ Experience working in a large, global, or matrixed organization

** Learn More*
* ** About Autodesk*
* Welcome to Autodesk! Amazing things are created every day with our software - from the greenest buildings and cleanest cars to the smartest factories and biggest hit…