Head of Data Science

Job Summary Deliver predictive AI (e.g., churn) and open-source GPU model capabilities to drive revenue, cost reduction, and customer experience. Hands-on expert operating as a 1 FTE pillar within the 10-person Data & AI Group. What You Will Do Build predictive models (e.g., churn, propensity) when rules arent enough. Serve and fine-tune open-source LLMs on local GPU servers to optimize token and compute costs. Use AI coding assistants (Claude Enterprise) daily to accelerate model code delivery. Partner with Forward Deployed Engineers (FDEs) to integrate model endpoints into the Go monorepo. Collaborate with Data Engineering on feature specifications from clean MDM/mediation layers. Track compute/token costs per initiative with PMO and report value against ROI baselines. Must-Have Qualifications 8+ years in applied Data Science/ML with proven hands-on production delivery. Expert Python, SQL, statistics, temporal cross- validation, and feature engineering. Hands-on technical depth comparable to a BCG X ML Expert. Experience deploying open-source LLMs on GPU hardware and evaluating RAG performance. Daily proficiency with AI coding tools (Claude, Cursor, Copilot). Clear executive communication and ability to collaborate with engineering peers. Preferred Skills Telecom, ISP, or large consumer subscription environment experience. Experience integrating ML models into Go monorepos or API microservices. Familiarity with network, AAA, billing, and Salesforce data models. Advanced quantitative degree (Master's/Ph.D. in Computer Science, Math, Stats).