Senior Data Scientist

1w1 week ago

Autodesk

CA · Full-time · $180,000 – $260,000

About this role

Autodesk is seeking a Senior Data Scientist to join the Data Science & Analytics team within our Go-to-Market Data Intelligence organization. This team develops data products, predictive models, machine learning products, and applied AI solutions. These help Autodesk better understand customers and improve go-to-market decisions across the customer lifecycle.

In this role, you will apply machine learning, statistical methods, and practical AI techniques to complex business problems with meaningful impact. You will work across complex, real-world datasets, develop and improve models. Partner with cross-functional stakeholders to turn data into scalable products and business insights.

Collaborate with the machine learning engineering team to develop, validate, and deploy machine learning and AI products. Work with product owners and stakeholders to shape new data product ideas or enhancements. Help drive technical direction alongside engineering and product owners to navigate tradeoffs.

Thrive in ambiguity as a strong individual contributor guiding high-impact work across multiple efforts. Become an expert in Autodesk data and recommend reusable features for trusted foundations. Communicate analyses and recommendations clearly to technical and non-technical audiences.

Requirements

5+ years of experience and a graduate degree in data science, computer science, statistics, or a related quantitative field
Advanced Python and SQL skills, including experience working with large-scale data warehouses
Experience leading end-to-end development of machine learning models, data science products, or advanced analytical solutions in a business environment
Strong communication skills and the ability to explain technical concepts, decisions, and tradeoffs to different audiences
Familiarity with go-to-market data such as Salesforce, financial metrics, or product usage and engagement data
Experience using AI productivity and coding tools

Responsibilities

Design, develop, validate, and improve data science models and products
Participate in stakeholder planning sessions to gather context on ambiguous business challenges and recommend data science modeling approaches
Define customer and business value metrics, evaluation approaches, and validation criteria for models and products
Use SQL to transform complex data and build scalable datasets for modeling and analysis
Work with the machine learning engineering team to develop, validate, and deploy machine learning and AI products
Collaborate with product owners and other stakeholders to shape new data product ideas or enhancements
Develop technical design and architecture documentation for data science and AI products
Communicate analyses, model performance, methodology, and recommendations clearly to technical and non-technical audiences