AI & Analytics Engineer

Lewis Personnel Management; Quezon City; Hybrid; PHP 1,500,000 - 3,500,000; Full time

Job summary

Lewis Personnel Management is seeking an AI & Analytics Manager to drive data-driven decisions using AI/ML solutions that boost revenue, optimize supply chain, and enable operational excellence.

You will develop and deploy ML models, productionize them with MLOps, and collaborate with business and engineering teams to translate challenges into data-driven solutions, including A/B testing and continuous improvement.

Qualifications

• Advanced degree in a quantitative field; strong research exposure.
• 5+ years in Data Science, ML, or advanced analytics.
• Proficient in Python, SQL and ML techniques.
• Hands-on with Databricks, MLflow, PySpark and deployment.

Responsibilities

• Develop and deploy ML models for demand forecasting and pricing.
• Productionize models and manage MLOps, monitoring and retraining.
• Lead feature engineering with data engineering teams.
• Translate business problems into data science solutions and run A/B tests.
• Drive AI initiatives aligning with business strategy and transformation.
• Collaborate with business and engineering teams for impact.

Skills

Python

SQL

statistical modeling

ML

A/B testing

communication

stakeholder management

Education

Master's degree or PhD in Data Science, Statistics, Computer Science, Economics

Tools

Databricks

MLflow

PySpark

Model deployment

Job description

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