Senior Data Scientist

Summary

Join Stack Overflow as a Senior Data Scientist and become a key driver of innovation, leading research and development initiatives that directly enhance the Stack Overflow experience. Collaborate with Software Engineers, Product Managers, and Data Engineers to leverage our rich dataset and build models improving user engagement and platform functionality. Partner with Product teams to identify and solve challenges using data-driven insights and advanced statistical models, including LLMs. Conduct experiments to quantify the value of Stack Overflow data in AI/ML applications and research industry trends to identify new market opportunities. Package findings for internal teams and customers, focusing on learning about our data capabilities that accelerate productivity and innovation. This role involves 75% product support and 25% research. Stack Overflow offers a remote-first work environment and a comprehensive benefits package.

Requirements

• 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
• 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

Responsibilities

• 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

Preferred Qualifications

Familiarity with developer tools, workflows, or technical communities

Benefits

• Competitive Base Salary
• Generous paid vacation
• Generous parental leave (16 weeks at 100% pay), family care leave, and unlimited sick days
• Equity for all employees at all levels
• Industry-leading health benefits that are applicable per country of residence for all our full-time employees
• Company-paid Life Insurance
• Home Internet stipend
• Professional allocation for your growth and development
• One-time allowance to assist with your home office setup
• Company-paid access to Calm, Bravely, LinkedIn Learning, MyAcademy and Overdrive