We are seeking a Senior Data Scientist to lead experimentation and causal inference initiatives for Autodesk's Go-to-Market Data Intelligence (GDI) organization. This role will focus on designing and deploying rigorous measurement frameworks that move beyond descriptive analytics toward defensible, decision-grade impact estimation.You will partner with GTM teams across Sales, Customer Success, Marketing, and Finance to quantify incremental impact, support decision-making to improve resource allocation, and elevate experimentation standards across GTM funnels. The ideal candidate combines strong statistical foundations with production-level fluency in Python and SQL and has a demonstrated ability to translate causal insights into operational decisions.**Responsibilities** **Key Qualifications** 5+ years of experience and a graduate degree in data science, computer science, applied econometrics, statistics, or related quantitative field.Advanced proficiency in Python (e.g., pandas, NumPy, statsmodels, scikit-learn; experience with causal libraries such as DoWhy, EconML, or similar is preferred).Advanced SQL skills with experience working on large-scale data warehouses.Experience designing and analyzing online or field experiments. Ability to communicate, justify and visualize complex statistical concepts for non-technical stakeholders.Experience in B2B GTM environments (SFDC and MarTech data, sales performance, pricing, marketing mix, lifecycle optimization, or growth experimentation).Familiarity with uplift modeling and heterogeneous treatment-effect estimation.Experience deploying models in production environments. Experience influencing executive decision-making through formal experimentation readouts or investment cases.#J-18808-Ljbffr