Lead Data Science & ML Solutions: Impact at Scale

Philip Morris International; Taguig; On-site; PHP 1,200,000 - 1,800,000; Full time

Job summary

Philip Morris International is seeking a Manager Data Science to lead the development and deployment of advanced analytics and ML solutions that address complex business problems. You will translate data into actionable insights, guide data scientists, and collaborate with stakeholders across functions.

The role emphasizes mentoring, productionizing models, and staying ahead of AI developments to drive innovation in a smoke-free future.

Qualifications

• Master’s or PhD in Data Science, CS, Statistics, or related field.
• 3–4+ years in data science or a similar role with ML experience.
• Proficiency in Python, SQL, ML frameworks, and relational DBs.
• Experience deploying ML models to production and AWS SageMaker.
• Experience with Docker, Snowflake, Jupyter, and Git-based workflows.
• Familiarity with data governance and data management best practices.

Responsibilities

• Apply mathematical and statistical methods to generate insights from data.
• Develop and implement data science and ML models using relevant tools.
• Conduct advanced analyses and translate findings into business guidance.
• Partner with cross-functional teams to define data-driven strategies.
• Mentor associate and regular data scientists throughout projects.
• Monitor AI advances to identify opportunities for innovation and improvement.
• Communicate complex findings via reports, presentations, and visuals.

Skills

Python

SQL

Machine learning frameworks

Relational databases

AWS SageMaker

Big data technologies

Docker

Git

JIRA

Confluence

Snowflake

Data governance

Project mentorship

Education

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

Tools

AWS SageMaker

Docker

Snowflake

Jupyter

Git

Bitbucket

JIRA

Confluence

Job description

Philip Morris International is seeking a Manager Data Science to lead the development and deployment of advanced analytics and ML solutions that address complex business problems. You will translate data into actionable insights, guide data scientists, and collaborate with stakeholders across functions.

The role emphasizes mentoring, productionizing models, and staying ahead of AI developments to drive innovation in a smoke-free future.