Every developer has a tab open on Stack Overflow.
We are one of the most popular websites in the world - a community-based space focused on increasing productivity, decreasing cycle times, accelerating time to market, and protecting institutional knowledge.
Innovation is at the heart of everything we do. We embrace collaboration, transparency, and believe in leading with empathy; creating an environment where every Stacker knows they belong. We embrace that the unique contributions and points of view of all Stackers contribute to our success.
We are a Best Company to Work For, in addition to being recognized for Best Company Leadership, Best Company Happiness, Best Company Perks and Benefits, Best Company Work-Life Balance, Best Company Compensation, and Best Company Outlook.
We are a remote-first company with Hiring HUBs based in the US, Canada, UK, and Germany.
Our Data Science team uses data, machine learning, and large language models to power smarter products and more intuitive knowledge discovery. We’re looking for a Staff Data Scientist who’s excited about leading ambitious, high-impact work, partnering closely with product and engineering teams, and helping define the future of knowledge discovery in the AI era.
In this role, you’ll lead data science initiatives that span multiple product teams across Stack Overflow and Stack Internal, moving across teams as the work requires. You’ll stay hands-on with the hardest technical questions, guide work across the full data science lifecycle, and help teams make better product, technical, and business decisions with data.
What you’ll do- Lead data science initiatives spanning multiple product teams, turning ambiguous needs into tractable problems
- Stay hands-on in analysis, experimentation, model development, and evaluation, especially where scientific uncertainty is highest
- Define what good looks like, design offline evaluations that are representative of production settings, ensure proper online product measurement to make clear product, technical, and business recommendations
- Translate needs for upstream data, downstream integration, model serving, and monitoring into clear requirements for engineering partners
- Balance product deadlines with deeper research and innovation, using thin slices and clear learning milestones to move uncertain work forward
- Partner with Product, Engineering, and business stakeholders to explain capabilities, limitations, and tradeoffs; challenge assumptions constructively and help teams make informed decisions
- Identify repeated work and develop shared methods or tools where they can accelerate future experimentation and deployment
- Mentor data scientists and engineers interested in ML, helping build stronger data science, ML, and AI understanding across the organization
- 7+ years of relevant experience, including a track record of leading ambiguous, production-facing data science or ML initiatives across multiple teams
- Hands-on experience building and evaluating ML systems, including LLM-powered applications; fine-tuning, SFT, or other language-model development experience is a plus
- A strong understanding of the full data science and ML lifecycle, including data and instrumentation needs, offline and online evaluation, production handoffs, monitoring, and iteration
- Strong analytical and modeling skills, especially when working with large or unstructured datasets
- Excellent stakeholder leadership — able to turn evidence into clear recommendations, educate different audiences, and influence or challenge decisions without formal authority
- Sound judgment when balancing near-term product delivery with deeper research and technical uncertainty
- Experience mentoring data scientists or engineers
Stack Overflow has shaped how developers learn and solve problems for over eighteen years. That foundation of trusted, human-verified knowledge is now central to how enterprises are building their AI capabilities. This role puts you at the center of that transformation, helping customers connect their internal knowledge to the AI tools their teams use every day. Professional Services is a core part of how we deliver on that mission. For the right leader, this is a career-defining opportunity to build something meaningful at a company developers actually care about.
What you’ll get in return:
- Competitive Base Salary
- Generous paid vacation
- Generous parental leave, family care leave, and unlimited sick days
- 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, Prosus Academy and Overdrive
Stack Overflow is proud to be an equal opportunity workplace. We value diversity, inclusion, equity and belonging and these pillars are at the heart of how we work together here at Stack. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or any other applicable legally protected characteristics in the location in which the candidate is applying.
For individuals based in California, and other locations where required, we will consider employment qualified applicants with arrest and conviction records.
Skills Required
- Hands-on experience working with large-scale LLMs and modern machine learning systems in production
- 3+ years of experience building and optimizing machine learning or NLP models
- Strong analytical skills working with large or unstructured datasets
- Experience mentoring or leading other data scientists
- Ability to work autonomously and explore creative solutions to complex problems
- Excellent communication skills and ability to translate technical insights into business impact
- Strong problem-solving skills and passion for building data- and AI-powered products
What We Do
Stack Overflow is empowering the world to build for the future. More than 100 million people come to Stack Overflow every month making it one of the most-visited websites in the world. It’s best known for its public platform, which has attracted over 14 million users and helped developers and technologists over 50 billion times since its founding in 2008. Stack Overflow’s Reach & Relevance products include employer branding, content, and advertising, which help technology brands reach developers with content relevant to them. In 2017, Stack Overflow launched a private version of the public Q&A platform so enterprises can capture institutional knowledge, collaborate asynchronously, and boost efficiency across teams. Today, over 10,000 customers partner with Stack Overflow, including Bloomberg, Microsoft, Instacart, Chevron, Expensify, and eBay.
Why Work With Us
Every person we hire makes Stack Overflow an even better place to work. We foster an open and diverse work culture where everyone works together. We believe great ideas can come from anywhere and welcome anyone to champion ideas. We support a culture that’s open to trying new things and is constantly trying to learn from the things we build.
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