Senior Data Scientist - Business Intelligence

Fastly helps people stay better connected with the things they love. Fastly’s edge cloud platform enables customers to create great digital experiences quickly, securely, and reliably by processing, serving, and securing our customers’ applications as close to their end-users as possible — at the edge of the Internet. The platform is designed to take advantage of the modern internet, to be programmable, and to support agile software development. Fastly’s customers include many of the world’s most prominent companies, including Vimeo, Pinterest, The New York Times, and GitHub.

We're building a more trustworthy Internet. Come join us.

Posting Open Date: Oct. 7, 2025

Anticipated Posting Close Date*: Nov. 6, 2025

*Job posting may close early due to the volume of applicants.

Senior Data Scientist 

Join our high impact Analytics team as a Senior Data Scientist, where you’ll shape the future of data-driven decision-making at Fastly. In this role, you’ll deliver actionable deep insights to solve critical business challenges. Over time, you’ll transition into more advanced data science work, such as predictive modeling and machine learning, to unlock even greater value. As a senior member on the team, you’ll mentor colleagues, set best practices, and elevate how we use data to drive success. This is your opportunity to make a meaningful impact while growing in a collaborative and innovative environment.

What You'll Do:

• Lead end-to-end data science and AI projects from problem definition and data collection to model deployment and business implementation
• Design, develop, and optimize machine learning and generative AI models to solve complex business problems and drive measurable outcomes
• Integrate AI capabilities into existing products and workflows to enhance functionality and create new value opportunities
• Collaborate with engineering, product, and business teams to identify opportunities where data science and advanced AI can create significant impact
• Communicate insights and recommendations to technical and non-technical stakeholders through compelling visualizations and presentations
• Mentor junior team members and establish best practices for the team's AI approaches and methodologies

What We're Looking For (Required): 

• Significant professional experience in a related technical or ecommerce field, applying data science and AI techniques to solve diverse business problems - Most Senior level folks at Fastly have at least 5 years of related experience.
• Demonstrated expertise building tools to support complex and highly impactful quantitative analysis of broad operational business questions.
• Demonstrated experience as a technical leader -  leading full lifecycle initiatives, driving long term roadmaps, collaborating with cross-functional stakeholders, influencing best practices, mentoring team members, etc.
• Strong programming skills in SQL and Python and experience with data science and AI libraries (PyTorch, TensorFlow, scikit-learn, Hugging Face)
• Expertise in statistical analysis, machine learning algorithms, experimentation methodologies, large language models, and generative AI frameworks
• Experience mentoring and leading others in data science skills and initiatives
• Experience working with modern data stacks, including Airflow, Fivetran, dbt, BigQuery, Vertex AI, and Looker

 

We’ll be super impressed if you have experience in one or more of these: 

• Master's or PhD in Computer Science, Statistics, Mathematics, or a related quantitative field
• Related CDN industry experience
• Experience in small to mid-size organizations where you have hands on experience and decision making input on building and expanding the data ecosystem 
• Experience deploying and maintaining production machine learning systems
• Experience with specialized data types such as natural language, time-series, or recommendation systems
• Implementing and fine-tuning large language models or other generative AI systems for specific business applications
• Building AI-powered products or features that have been successfully deployed to end users
• Experience with prompt engineering and RAG systems
• Contributions to open-source AI projects or research publications in machine learning or generative AI
• Proficiency with AI services on cloud platforms (AWS Bedrock, GCP Vertex AI, Azure OpenAI)
  
  

Work Hours:

• This position will require you to be available during core business hours and participate in an on-call rotation. 

Work Location(s) & Travel Requirem