---
title: 'Staff Data Scientist at Stack Overflow'
canonical: 'https://feeny.ai/job/staff-data-scientist-stack-overflow-united-states-we5j3dahy8ej'
type: 'job'
last_seen: '2026-09-07'
---

# Staff Data Scientist at Stack Overflow

- **Company:** Stack Overflow
- **Location:** United States
- **Work type:** remote
- **Posted:** 2026-09-03
- **Last confirmed live:** 2026-09-07
- **Apply:** https://stackoverflow.co/company/careers/8172828?gh_jid=8172828

## Job description

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.

## Role Overview

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

## What you’ll bring

- 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

Why join now?

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.

## About Stack Overflow

## Company Overview
- **One-liner**: Stack Overflow builds the largest community for developers to learn and share knowledge, and provides knowledge intelligence products for enterprises and AI companies.
- **Entity Type**: Private
- **Headquarters**: New York City, USA
- **Founded**: 2008
- **Founders**: Joel Spolsky and Jeff Atwood

## Core Business
- Primary industry/industries: Developer community platforms, enterprise knowledge management, data licensing for AI
- Target customers: B2B (enterprise engineering teams, AI companies) and B2C (individual developers)
- Mission or purpose statement: "Cultivate community. Power learning. Unlock growth."

## Products & Services
- **[Stack Overflow Public Platform]**: The flagship Q&A website where over 100 million developers visit monthly to find answers, learn new technologies, and share expertise. Over 83 million questions have been asked and answered.
- **[Stack Overflow for Teams]**: A private knowledge intelligence ecosystem for enterprises, used by over 20,000 organizations like Microsoft, Zappos, and Expensify.
- **[Stack Overflow AI (OverflowAI)]**: AI-powered assistance integrated into the developer experience to help find answers faster.
- **[Stack Data Licensing]**: Provides human-validated, attributed content to leading AI companies.
- **[Stack Ads]**: Brand advertising platform reaching the world's largest technical audience.

## Market Standing
- **Valuation/Market Cap**: Not disclosed.
- **Key Metric**: Over 100 million monthly visitors to the public platform; over 20,000 organizations use Stack Overflow for Teams.
- **Notable Investors/Partners**: Founded by Joel Spolsky (co-creator of Trello) and Jeff Atwood. Key customers include Microsoft, Zappos, and Expensify.
- **Growth Signals**: Launch of OverflowAI integrates generative AI into the platform; expansion of data licensing business with top AI companies; continued strong community engagement.

## Competitive Advantages
- **Massive, engaged developer community**: With over 100 million monthly visitors, it is the most trusted and visited developer Q&A site globally.
- **Human-validated content**: The community's curation and upvoting system creates a high-quality, trusted knowledge base that is a key differentiator vs. AI-only solutions.
- **Deep enterprise adoption**: Stack Overflow for Teams is deeply embedded in thousands of engineering organizations, creating a high switching cost.
- **Brand trust and recognition**: A 15+ year legacy as the essential tool for developers.

## Strategic Focus
- **AI integration**: Building OverflowAI to help developers find answers faster and make the knowledge base more useful in the age of AI.
- **Data licensing growth**: Monetizing the platform's unique, human-validated dataset with AI companies.
- **Enterprise expansion**: Continuing to grow Stack Overflow for Teams as the "system of record" for institutional engineering knowledge.
- **Community health**: Ensuring the public Q&A platform remains vibrant, inclusive, and valuable for the next generation of developers.

## Why Work Here
- **Fully remote culture**: "We’ve had a remote culture here since we started, and today 100% of our Stackers work remotely from their homes in our hiring hubs of the US, Canada, UK and Germany." Employees set their own working hours with no mandated core hours.
- **Comprehensive benefits**: 100% company-paid health insurance for employee and family, 16 weeks fully paid parental leave (including adoption), equity for all employees, 401k match, and a bonus program.
- **Home office support**: One-time setup allowance plus monthly internet stipend.
- **Learning & development**: Annual tuition reimbursement and professional development budget for conferences, memberships, and continuing education. Access to LinkedIn Learning, MyAcademy, and 1:1 career coaching.
- **Diversity & inclusion**: Strong culture with Employee Resource Groups (ERGs) including Black & Brown, LGBTQ+, and neurodiversity communities. "We seek people from a diversity of backgrounds and experiences, particularly from those that are underrepresented at Stack Overflow."
- **Culture & values**: Emphasis on transparency, flexibility, growth mindset, and keeping community at the center. Known for a supportive, collaborative team environment with virtual team events like cooking classes and "bev bashes."
- **Summer Fridays**: Additional flexibility during warmer months.

## Sources
1. [stackoverflow.co](https://stackoverflow.co/company/careers/)
2. [stackoverflow.com](https://stackoverflow/jobs/companies/stack-overflow)
3. [linkedin.com](https://www.linkedin.com/company/stack-overflow)
4. [comparably.com](https://www.comparably.com/companies/stack-overflow?open=ratings)
5. [remotivated.com](https://remotivated.com/companies/stack-overflow)

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