Job Description

Job Requisition ID #

26WD97276

Position Overview

We are seeking a Senior Data Scientist to leadexperimentation andcausal inferenceinitiatives 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 toimprove resource allocation, and elevate experimentation standardsacrossGTMfunnels 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

• Design, implement, and evaluate randomized controlled trials (A/B, geo experiments, incrementality tests).

• Develop quasi-experimental frameworks (e.g., difference-in-differences, synthetic controls, regression discontinuity, instrumental variables, uplift modeling).

• Define and operationalize an experimentation roadmap across GTM, including hypothesis prioritization, pre-registration standards, guardrail metrics, and clear decision thresholds for launch, scale, or sunset.

• Establish best practices for experimental design, power analysis, and bias mitigation.

• Design, build andproductionalizecausal and predictive models using Python.

• Develop reusable experimentation andinferencetoolkits.

• Conduct robustness checks, sensitivity analyses, and assumption validation.Also partner with analysts on those activities to accelerate project delivery.

• Partner with data engineering to ensure high-quality, analysis-ready datasetsand successful model deployment

• Transform and organizecomplex structured and semi-structureddata sources using advanced SQL.

• Construct scalable analytical datasets from large-scale transactional and behavioral systems.

• Collaborate on experimentation infrastructure, including randomization frameworks and measurement pipelines.

• Improve data instrumentation, logging, and tracking to enable defensible inference.

• Translate statistical findings into clear, decision-oriented recommendations.

• Influence GTM strategy through evidence-based resource allocation guidance.

• Educate cross-functional partners on experimental design,causal reasoning, and interpretation of causal inference analytics

Key Qualifications

• 5+ years of experienceand a graduate degreein data science,computer science,applied econometrics, statistics, or related quantitativefield

• Strong grounding in causal inference theory and applied methods.

• AdvancedproficiencyinPython(e.g., pandas, NumPy,statsmodels, scikit-learn; experience with causal libraries such asDoWhy,EconML, or similar is preferred).

• Advanced SQL skills with experience workingonlarge-scale data warehouses.

• Experience designing and analyzing online or field experiments.

• Ability to communicate,justifyand visualizecomplex statistical conceptsfornon-technical stakeholders.

• Experience in B2B GTM environments (SFDC andMarTechdata,sales performance, pricing, marketing mix, lifecycle optimization, or growth experimentation).

• Familiarity with uplift modeling and heterogeneous treatment-effect estimation.

• Exposure to Bayesian methods or hierarchical modeling.

• Experience deploying models in production environments.

• Experience influencing executive decision-making through formalexperimentationreadouts or investment cases.

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!

Salary transparency

Salary is one part of Autodesk’s competitive compensation package. For Canada based roles, we expect a starting base salary between $107,000 and $156,200. 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.

Diversity & Belonging
We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/diversity-and-belonging

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