Senior Data Scientist at Zefr focusing on Large Language Models for multimodal social media. Collaborate on fine - tuning and deploying AI systems to understand social media content.
About the role
- Staff Data Scientist leading data science initiatives at bootstrapped AI company. Architecting models and mentoring a team for revenue-driving outcomes in San Francisco.
Responsibilities
- You'll lead data science for one of three core systems: Predictive SEO Intelligence, Agent Decision Systems, Content & Entity Intelligence.
- You own research roadmaps, mentor a growing team, and ship algorithms that directly drive revenue.
- Build models serving millions of predictions/day with <100ms latency. Own full lifecycle: feature engineering, training, validation, A/B testing, drift monitoring.
- Define what we predict and optimize. Your scientific judgment sets priorities. Mentor data scientists and ML engineers through code review and research review.
Requirements
- 7+ years applied data science, with 3+ years shipping production ML systems.
- Deep Python fluency : NumPy, Pandas, Scikit-learn, PyTorch or TensorFlow.
- SQL at scale : Complex queries against terabyte datasets, query optimization.
- ML Engineering mindset : Feature stores, model serving, A/B testing, monitoring, drift detection.
- AI-native workflow : You use AI coding tools to accelerate research and automate analysis.
- Scientific communication : You explain complex methodologies to executives with clarity.
- Research leadership : You've mentored others, defined research agendas, shipped cross-functional projects.
- Bonus : NLP/LLM expertise, SEO/search domain knowledge, reinforcement learning, published research, Kaggle/GitHub presence.
Benefits
- Health: 100% medical (Aetna), 99% dental/vision.
- Time Off: Unlimited PTO, paid parental leave.
- Additional: 401(k) via Deel, pet insurance, flexible wellness stipend.
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