
- employees
Founded 2009
💼 Consulting
📣 Marketing
📚 Education
💰 $40M Series D on 2015-01
Consulting • Marketing • Education
Stack Exchange is a network of question-and-answer (Q&A) communities, each focused on a specific topic, ranging from physics and law to worldbuilding and role-playing games. The platform enables experts to share knowledge and earn trust through providing helpful answers, which are upvoted by peers to ensure the best solution is easily accessible. Stack Exchange fosters communities of passionate individuals, where users can gain reputation and privileges, making it a resourceful site for learning and collaboration.
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🇺🇸 United States – Remote
⏰ Full Time
🟡 Mid-level
🟠 Senior
📊 Data Scientist
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- employees
Founded 2009
💼 Consulting
📣 Marketing
📚 Education
💰 $40M Series D on 2015-01
Consulting • Marketing • Education
Stack Exchange is a network of question-and-answer (Q&A) communities, each focused on a specific topic, ranging from physics and law to worldbuilding and role-playing games. The platform enables experts to share knowledge and earn trust through providing helpful answers, which are upvoted by peers to ensure the best solution is easily accessible. Stack Exchange fosters communities of passionate individuals, where users can gain reputation and privileges, making it a resourceful site for learning and collaboration.
• Design, build, and deploy machine learning solutions, including data pipelines, model training workflows, and LLM-powered experiences • Improve the performance, reliability, and accuracy of large language models in production environments • Define and track metrics to understand user behavior and product impact • Partner with Product, Engineering, and business stakeholders to identify data- and AI-driven opportunities • Build and maintain large-scale datasets for advanced analytics and machine learning applications • Develop tools, models, and experimentation frameworks to accelerate product development and decision-making • Serve as a technical thought leader shaping the company’s data science and AI approach • Mentor and support other data scientists
• Hands-on experience working with large-scale LLMs and modern ML systems in production • 3+ years of experience building and optimizing machine learning or NLP models • Strong analytical skills, especially when 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, including translating technical insights into business impact • Strong problem-solving skills and passion for building products powered by data and AI
• 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
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