AI & Analytics Engineer
Summary
An AI/ML role driving data-driven decisions for revenue, supply chain, and operations: developing and deploying ML models for demand forecasting, pricing/promotions, and smart ordering, plus leading MLOps (monitoring, drift detection, retraining). Core stack: Python, SQL, Databricks, MLflow, PySpark, with A/B testing. Hybrid, dayshift in Quezon City.
Role Overview
We are looking for an AI & Analytics Manager to drive data-driven decision-making through AI/ML solutions that support revenue growth, supply chain efficiency, and operational excellence. The role covers model development, deployment, MLOps, and collaboration with business and engineering teams.
Key Responsibilities
Develop and deploy ML models for demand forecasting, pricing/promotions, market analysis, and smart ordering.
Productionize models using Databricks, MLflow, and PySpark.
Build scalable feature engineering pipelines with data engineering teams.
Translate business challenges into data science solutions and evaluate A/B tests.
Lead MLOps, including model monitoring, drift detection, model registry, and retraining.
Drive AI/ML initiatives supporting business strategy and digital transformation.
Qualifications
Master's degree or PhD in Data Science, Statistics, Computer Science, Economics, or a related field.
5+ years of experience in Data Science, Machine Learning, or Advanced Analytics.
Strong Python, SQL, statistical modeling, and ML skills.
Hands-on experience with Databricks, MLflow, PySpark, and model deployment.
Strong business acumen, problem-solving, and A/B testing experience.
Excellent communication and stakeholder management skills.
Experience in FMCG, Retail, Supply Chain, or Consumer Goods is highly preferred.
Willing to work in a hybrid, dayshift schedule in Quezon City.
-bn/lgc