Manager Data Science

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

Job Description:

Be a part of a revolutionary change!

At PMI, we’ve chosen to do something incredible. We’re totally transforming our business and building our future on one clear purpose - to deliver a smoke-free future.

With huge change, comes huge opportunity. So, wherever you join us, you’ll enjoy the freedom to dream up and deliver better, brighter solutions and the space to move your career forward in endlessly different directions.

The Manager Data Science leads the development and implementation of advanced analytics and machine learning solutions that address complex business problems. The role collaborates with cross-functional stakeholders, translates data into actionable insights, supports data-driven decision-making, and provides technical guidance to other data scientists.

Key Responsibilities

• Apply mathematics, statistics, data mining, and predictive and prescriptive modeling techniques to generate meaningful insights from data.
• Develop and implement data science and machine learning models using specialized programming languages, frameworks, and tools.
• Conduct advanced statistical analyses and translate findings into practical 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 throughout project delivery.
• Monitor emerging developments in artificial intelligence and data science to identify opportunities for innovation and process improvement.
• Communicate complex findings to stakeholders through clear reports, presentations, and data visualizations.

Qualifications

• Master’s or doctoral degree in Data Science, Computer Science, Statistics, or a related field.
• At least 3 to 4 years of hands-on experience in data science or a similar role.
• Proficiency in Python, SQL, machine learning frameworks, and relational databases.
• Experience with supervised and unsupervised learning, forecasting, natural language processing, and advanced statistical modeling.
• Experience deploying or productionizing artificial intelligence and machine learning models.
• Proficiency with Amazon Web Services, including tools such as S3, EC2, and SageMaker.
• Experience with big data technologies, Jupyter, Snowflake, Docker, and open-source data science tools and libraries.
• Familiarity with version control and project management tools, including Git, Bitbucket, JIRA, and Confluence.
• Knowledge of data governance and data management best practices.

What We Offer

Our success depends on the men and women who come to work every single day with a sense of purpose and an appetite for progress. Join PMI and you too can:

• Seize the freedom to define your future and ours. We’ll empower you to take risks, experiment and explore.
• Be part of an inclusive, diverse culture, where everyone’s contribution is respected; collaborate with some of the world’s best people and feel like you belong.
• Pursue your ambitions and develop your skills with a global business – our staggering size and scale provides endless opportunities to progress.
• Take pride in delivering our promise to society: to deliver a smoke-free future