Head of Data Science

Converge ICT Solutions Inc.; Pasig; On-site; PHP 3,000,000 - 5,200,000; Full time

Job summary

Converge ICT Solutions Inc. is seeking an accomplished Data Scientist to own end-to-end predictive AI initiatives in a production setting.

You will build models (e.g., churn, propensity), fine-tune open‑source LLMs on local GPU servers, and work with engineers and PMO to demonstrate ROI and value across revenue, cost savings, and customer experience.

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.

Responsibilities

• Build predictive models (e.g., churn, propensity) when rules aren’t enough.
• Serve and fine‑tune open‑source LLMs on local GPU servers to optimize token and compute costs.
• Use AI coding assistants 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.

Skills

Python

SQL

Statistics

Feature engineering

Temporal cross‑validation

LLM usage

AI coding tools

Executive communication

Tools

Go monorepo

GPU deployment

Job description

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.

Responsibilities

• Build predictive models (e.g., churn, propensity) when rules aren’t 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.

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.