Senior Data Scientist

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

We are looking for a Senior Data Scientist to develop advanced analytics and AI/ML solutions that support data-driven decision-making, revenue growth, supply chain optimization, and operational efficiency. The role will focus on developing and deploying machine learning models, improving analytical capabilities, and working closely with business, data engineering, and technology teams to deliver impactful solutions.

Key Responsibilities

• Develop, train, and deploy machine learning models for demand forecasting, pricing and promotions, market analysis, and intelligent ordering.
• Apply advanced statistical and machine learning techniques to identify business opportunities and solve complex problems.
• Build and optimize feature engineering pipelines in collaboration with data engineering teams.
• Productionize and deploy ML models using Databricks, MLflow, PySpark, and other relevant tools.
• Implement MLOps practices, including model monitoring, performance tracking, drift detection, model registry, and model retraining.
• Translate business requirements into scalable data science and AI solutions.
• Design and evaluate A/B tests and experiments to measure the effectiveness of models and business initiatives.
• Analyze large and complex datasets to generate actionable insights and support strategic decision-making.
• Collaborate with business stakeholders, data scientists, engineers, and other technical teams to ensure successful implementation of AI/ML solutions.
• Contribute to AI and analytics initiatives that support digital transformation and continuous process improvement.

Qualifications

• Master’s degree or PhD in Data Science, Statistics, Computer Science, Economics, or a related field.
• At least 5 years of experience in Data Science, Machine Learning, Advanced Analytics, or a related discipline.
• Strong proficiency in Python, SQL, statistical modeling, and machine learning.
• Hands-on experience with Databricks, MLflow, PySpark, and ML model deployment.
• Strong knowledge of A/B testing, experimentation, predictive modeling, and data-driven decision-making.
• Experience working with large datasets and developing scalable data science solutions.
• Strong analytical, problem-solving, and critical-thinking skills.
• Excellent communication and collaboration skills, with the ability to present technical findings to both technical and non-technical stakeholders.
• Experience in FMCG, Retail, Supply Chain, Consumer Goods, or related industries is highly preferred.
• Willing to work on a hybrid, dayshift schedule in Quezon City.