Lead Data Science & ML Solutions

Philip Morris International; Philippines; On-site; PHP 2,500,000 - 4,200,000; Full time

Benefits offered by this job

Career development

Global opportunities

Inclusive culture

Smoke-free future mission

Job summary

Philip Morris International is seeking a Manager Data Science in the Philippines to lead the development and deployment of advanced analytics and ML solutions. You will translate data into strategic insights, guide junior scientists, and collaborate with cross-functional teams to drive data-driven decisions.

The role emphasizes mentoring, staying current with AI trends, and communicating findings through clear visualizations and reports.

Qualifications

• Advanced degree in data science or related field.
• 3–4 years hands-on experience in data science or similar role.
• Proficiency in Python, SQL, ML frameworks, and relational databases.

Responsibilities

• Apply mathematics, statistics, data mining, and predictive/prospective modeling to derive insights.
• Develop and implement data science and ML models using languages, frameworks, and tools.
• Conduct advanced statistical analyses and translate findings into business recommendations.
• Partner with cross-functional teams to define and deliver data-driven strategies and solutions.
• Mentor associate and regular data scientists, providing technical guidance.
• Monitor emerging AI/data science developments for opportunities and improvements.
• Communicate complex findings to stakeholders through reports, presentations, and visualizations.

Skills

Python

SQL

ML frameworks

Forecasting

NLP

Data visualization

Stakeholder communication

Mentoring

Statistical modeling

Data-driven decision-making

Cross-functional collaboration

Education

Master’s or doctoral degree in Data Science, Computer Science, Statistics, or related field

Tools

SageMaker

Docker

Snowflake

Jupyter

Git

Bitbucket

JIRA

Confluence

S3

EC2

Job description

Philip Morris International is seeking a Manager Data Science in the Philippines to lead the development and deployment of advanced analytics and ML solutions. You will translate data into strategic insights, guide junior scientists, and collaborate with cross-functional teams to drive data-driven decisions.

The role emphasizes mentoring, staying current with AI trends, and communicating findings through clear visualizations and reports.