数据科学家，FP&A 解决方案
Data Scientist, FP&A Solutions
职位编号 #
26WD100824职位概述
我们正在寻找一名数据科学家加入财务规划与分析（FP&A）解决方案团队，该团队隶属于财务转型组织。此职位位于财务、数据科学和分析工程的交汇点。数据科学家将与FP&A、财务、数据工程和业务团队紧密合作，自动化财务分析，开发预测和预测模型，构建可扩展的数据解决方案，并提高财务决策的质量和速度。
理想的候选人具备扎实的技术能力与财务洞察力，能够将复杂的数据转化为对业务和财务领导层清晰的建议。
职责
- 与FP&A和业务负责人合作，识别数据科学和高级分析可以改进计划、预测和决策的机会
- 开发基于Python的分析模型、预测解决方案、模拟和自动化工具，用于财务和运营用例
- 使用Snowflake、SQL和Python构建和维护可扩展的数据集和分析流程
- 为收入、支出、人员编制、预订、客户行为、现金流和业务表现等领域开发预测模型
- 通过统计建模、机器学习、驱动因素预测和情景分析改进财务预测
- 自动化重复的FP&A流程，包括数据准备、差异分析、预测更新、管理报告和财务绩效分析
- 执行财务和运营差异分析，以识别关键驱动因素、趋势、异常和潜在风险
- 设计情景和敏感性模型，帮助管理层理解潜在的财务结果和权衡
- 将来自多个系统的财务和运营数据整合到Snowflake中的可信分析数据集
- 开发可重用的Python库、笔记本、管道和分析框架，提高财务和分析团队的生产力
- 与数据工程团队合作，提升数据质量、架构、治理和性能
- 将复杂的分析和模型输出转化为对财务和业务利益相关者的简洁见解和建议
- 建立适当的模型验证、监控、文档和数据质量控制
- 在财务组织中推广数据科学、自动化和AI能力
最低要求
- 5年以上
查看英文原文
Job Requisition ID #
26WD100824Position 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, NumPy, scikit-learn, statsmodels, 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 movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.
We take great pride in our culture here at Autodesk – it’s at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.
When you’re an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!
Benefits
From health and financial benefits to time away and everyday wellness, we give Autodeskers the best, so they can do their best work. Learn more about our benefits in the U.S. by visiting
Salary transparency
Salary is one part of Autodesk’s competitive compensation package. For U.S.-based roles, we expect a starting base salary between $109,000 and $196,020. Offers are based on the candidate’s experience and geographic location, and may exceed this range. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.Equal Employment Opportunity
At Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law.
Belonging
We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here:
In-Person Onboarding and Identity Verification
This role may require in-person onboarding and/or in-person ID verification.
Are you an existing contractor or consultant with Autodesk?
Please search for open jobs and apply internally (not on this external site).
Originally posted on Himalayas