Data Scientist, FP&A Solutions

🔥 2 hours ago

🌐 United States, Canada – Remote

🇺🇸 United States – Remote 🇨🇦 Canada – Remote

🏄 California, Oregon – Remote

🏄 California – Remote 🌲 Oregon – Remote

💵 $109k - $196k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

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Autodesk

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1982

🏗️ Construction

🏭 Manufacturing

💼 Consulting

Construction • Manufacturing • Consulting

Autodesk is a global leader in software for designers, engineers, builders, and creators. The company provides a comprehensive suite of design and engineering applications including popular products like AutoCAD, Revit, and 3ds Max. Through its Design and Make Platform, Autodesk empowers professionals across various industries to design, visualize, and manage projects efficiently, facilitating innovation and sustainability in architecture, engineering, construction, and manufacturing.

📋 Description

• Partner with FP&A and business leaders to identify opportunities for data science and advanced analytics • Develop Python-based analytical models, forecasting solutions, simulations, and automation • Build and maintain scalable datasets and analytical workflows using Snowflake, SQL, and Python • Develop predictive models for 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 drivers, trends, anomalies, and emerging risks • Design scenario and sensitivity models for leadership decision-making • Integrate financial and operational data from multiple systems into trusted Snowflake datasets • Develop reusable Python libraries, notebooks, pipelines, and analytical frameworks • Partner with Data Engineering to improve data quality, architecture, governance, and performance • Translate complex analyses and model outputs into concise insights and recommendations • Establish model validation, monitoring, documentation, and data-quality controls • Promote data science, automation, and AI capabilities within Finance

🎯 Requirements

• 5+ years of experience in data science, advanced analytics, financial analytics, FP&A analytics, or a related field • Advanced proficiency in Python, including pandas, NumPy, scikit-learn, statsmodels, or similar analytical frameworks • Advanced SQL skills and hands-on experience 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: experience supporting corporate FP&A; financial forecasting, time-series analysis, driver-based planning, Monte Carlo simulation, or scenario modeling; Snowpark, dbt, orchestration tools, modern data engineering; financial planning platforms; Power BI, Tableau, or Looker; machine learning, generative AI, or intelligent automation; Git, testing, CI/CD, code review, and version control; large, global, or matrixed organizations

🏖️ Benefits

• Annual cash bonuses may be included • Stock grants may be included • Comprehensive benefits package • Health and financial benefits • Time away and everyday wellness benefits • In-person onboarding and/or in-person ID verification may be provided/required