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

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data sciencemachine learningPythonNumPyPandasScikit-learnPyTorchTensorFlowSQLA/B testing

Soft Skills

mentoringscientific communicationleadershipresearch leadershipprioritizationclarity in explanation