Who you are

• Proven track record of working with large-scale LLMs
• 4+ years of data science experience with a strong foundation in experimental design and rapid prototyping
• Proven ability to conduct independent research and translate findings into business insights for AI/ML applications
• Experience working in fast-paced environments, balancing research goals with business timelines
• Background in NLP, text analysis, and working with large-scale Q&A or developer-focused datasets
• Familiarity with developer tools, workflows, or technical communities preferred
• Comfortable with ambiguous requirements and iterative research approaches
• Strong technical communication skills for documentation and internal presentations
• Working within GMT-7:00 (US) to GMT+2:00 (Europe) time zones

What the job involves

• At Stack Overflow, the Senior Data Scientist on our Data Team is a key driver of innovation, leading research and development initiatives that directly enhance the Stack Overflow experience
• You'll operate in a highly cross-functional capacity, acting as a vital consultant and collaborator with our Software Engineers, Product Managers, and Data Engineers. Your primary focus will be on leveraging our rich dataset to research and build models that improve user engagement, content discovery, and overall platform functionality
• A significant part of your role will involve partnering closely with Product teams to identify and understand tactical challenges that can be solved through the application of data-driven insights, advanced statistical models, and Large Language Models (LLMs). You'll translate these challenges into data science problems, design solutions, and contribute to their implementation
• Collaborate with Product Managers and act as a thought leader to understand the Product problems they are facing and identify if there are existing solutions that can help them, or work with the Director of Data Science to determine if a more robust solution is needed
• Translate customer requirements into actionable research questions and technical demonstrations
• Create technical analyses and proof-of-concepts (POCs) that demonstrate how our data can drive value with our partners
• Dive deep into data/ML/AI problems our partners are facing and make recommendations on where they should go to capture value and avoid pitfalls
• Conduct experiments to quantify the value of Stack Overflow data when applied to various AI/ML applications including chatbots, assistants, copilots, and model-training
• Recreate research done by the open source community with our data demonstrating the value of our data
• Research industry trends and emerging use cases to identify new market opportunities for our trusted, accurate knowledge base
• Design and execute rapid offline experiments to understand data patterns and value propositions for AI tool development
• Package findings for internal teams and customers, focusing on learning about our data capabilities that accelerate productivity and innovation
• Example Projects:
• Analyze Q&A patterns from StackOverflow.com to help improve an AI Documentation Assistant explain complex API integrations
• Mine data from StackOverflow.com on code quality to improve an AI Code Review tool

Benefits

• Focus on well-being: We provide full health coverage for you and your family. That means that Stack Overflow pays 100% of your premiums. Additionally, we provide supplemental benefits such as telemedicine options
• Out of state care: We will reimburse up to $5,000 annually for the participant undergoing treatment or a procedure considered unlawful within their home state, plus a companion
• Work where you want: We have a remote-friendly culture. Before the pandemic we were 40% remote. Today, we’re over 80% permanently remote and won’t require employees to return to an office if they don’t want to. We believe people do their best work when they love where they work
• Work how you want: While we’re fully remote, we’re supporting all employees with home office reimbursements and internet stipends. We also encourage employees to set their working hours on their calendar and in Slack to encourage flexibility
• Take care of loved ones: We offer paid parental leave, a meal stipend, and the primary caregiver has the option to come back to work part time for up to one year. We also have a special caregiver policy due to the pandemic
• Keep learning & growing: Access to a personal and professional coach on a 1:1 basis to help develop your career. Additionally, all employees have annual tuition reimbursement, professional development budget for continuing education, conferences, and memberships, in order to advance their skills and knowledge
• Stay fit & have fun: We provide employees monthly fitness reimbursements as well as host regular yoga and meditation classes during the work day. That’s in addition to regular virtual cooking classes, “bev bashes” (what we call happy hours), and more
• Stack Gives Back: We care deeply for our employees and provide paid time off to encourage their voluntary involvement in and support of programs that positively impact the quality of life within the communities in which we live