Senior Data Scientist - Hybrid AI/ML for Growth & Ops

Lewis Personnel Management; Quezon City; Hybrid; PHP 1,200,000 - 1,800,000; Full time

Job summary

Lewis Personnel Management is seeking a Senior Data Scientist in Quezon City for advanced analytics and AI/ML initiatives. You will design, train, and deploy models to optimize revenue, supply chain, and operations, collaborating with business, data engineering, and technology teams.

The role emphasizes scalable data science solutions, feature engineering, MLOps, and informing strategic decisions with data-driven insights.

Qualifications

• Master’s degree or PhD in Data Science, Statistics, Computer Science, Economics, or related field.
• 5+ years of experience in Data Science, ML, or Advanced Analytics.
• Strong proficiency in Python, SQL, statistical modeling, and ML.
• Hands-on experience with Databricks, MLflow, PySpark, and ML deployment.

Responsibilities

• Develop, train, and deploy ML models for demand forecasting, pricing, and market analysis.
• Apply advanced ML techniques to identify business opportunities and solve problems.
• Build and optimize feature engineering pipelines with data engineering teams.
• Productionize ML models using Databricks, MLflow, PySpark, and related tools.
• Implement MLOps practices: monitoring, drift detection, model registry, retraining.
• Translate business needs into scalable data science and AI solutions.
• Design and evaluate A/B tests to measure model and initiative impact.
• Analyze large datasets to generate actionable business insights.
• Collaborate with stakeholders and technical teams for successful AI deployments.
• Contribute to AI initiatives that support digital transformation and continuous process improvement.

Skills

Python

SQL

Statistics

ML Deployment

A/B Testing

Data Analysis

Communication

Education

Master's degree in DS/CS/Statistics

Tools

Databricks

MLflow

PySpark

Job description

Lewis Personnel Management is seeking a Senior Data Scientist in Quezon City for advanced analytics and AI/ML initiatives. You will design, train, and deploy models to optimize revenue, supply chain, and operations, collaborating with business, data engineering, and technology teams.

The role emphasizes scalable data science solutions, feature engineering, MLOps, and informing strategic decisions with data-driven insights.