Senior Data Scientist

Our large, Fortune Technology client is ranked as one of the best companies to work with, in the world. As a global leader in 3D design, engineering, and entertainment software, they foster progressive culture, creativity, and a flexible work environment. They use cutting-edge technologies to keep themselves ahead of the curve. Diversity in all aspects is respected. Integrity, experience, honesty, people, humanity, and passion for excellence are some other adjectives that define this global technology leader. Looking for Senior Applied Scientist to work on a myriad of analytics related to data products that provides ML insights to our users. If you're an expert in machine learning with a proven track record of production-grade ML models, statistical analysis, and are excited about applying the latest technology and rigorous analysis to solve complex problems using ML, you may be the ideal candidate. Responsibilities Work on a variety of problems that better understand how customers use Autodesk products and what drives deeper adoption and usage of products. Apply your quantitative analysis, data mining and machine learning expertise to build models that influence product development, strategy, and roadmap prioritization. Design and implement machine learning pipelines that improve Autodesk’s evidence-based decision-making capabilities. Partner with senior cross-functional leaders including Product, Product Marketing, Engineering, and Design to ensure data-driven decisions across the organization by applying the appropriate data science & analytics approaches where they will have a material impact. You will provide technical leadership and mentorship for less-experienced members of the team to deliver key ML-powered features for our Digital Customer Platform. Minimum Qualifications: MS/PhD in a quantitative field: Mathematics, Physical Sciences, Statistics/Analytics, Computer Science, or other relevant fields. 4 years of industry experience and a passion for designing, analyzing, and deploying machine learning-based solutions. Experience with Large Language Models LLM (RAG, Generative AI) and NLP. Experience working with relational SQL and/or NoSQL databases. Experience working with big data platforms (Hadoop, Spark, Hive). Fluency with one or more programming languages: Python, Java, Scala, etc. Experience with data science toolkits like: pandas, Jupyter, scikit, TensorFlow, etc. Familiarity with Machine Learning techniques, e.g., classification, clustering, regularization, optimization, dimension reduction, etc. Ability to write high quality, well-documented, scalable code - Python preferred. Strong communication skills with the ability to explain complex/technical work to a non-technical audience and to present data effectively. Familiarity with cloud computing (AWS). Preferred Qualifications: Self-starter: Able to take a big idea or complex problem, mine data to create insights, and use those insights to establish a point-of-view on the idea/problem. Desire to learn in a fast-paced environment. Familiarity with MLOps, and ability to optimize ML workflows in production environments. Experience leading research resulting in publications.