Philip

Manager Data Science

Taguig, Philippines

Live, first seen by us 58 days ago

Pay: Pay not listed
Work setting: Not stated
Employment: Not stated

What you’ll work on

Full posting

Apply statistics, data mining and predictive modeling to generate business insights
Develop and implement machine learning models using specialized tools
Conduct advanced statistical analyses and turn findings into business recommendations
Partner with cross-functional teams on data-driven strategies and solutions
Mentor associate and regular data scientists through project delivery

From the employer’s posting

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.

What you’ll bring

All qualifications

Core experience

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

Qualification wording

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

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.

Education & alternatives

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.

Apply at Philip

Posting record

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Status in our records: Live
First seen by us: Sep 7, 202658 days ago
Recorded sightings: 174
Last seen by us: Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 58

Up longer than most. Similar jobs usually come down between day 7 and day 53.

From 7,804 similar postings that came down. Coming down is not always a hire.

Philip is hiring

17 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Data Leadership hiring is steady
Takes jobs down at a usual pace
6% of open jobs were reposted

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

Python
SQL
Docker
S3
SageMaker
Snowflake
AWS

Where the posting names them

- 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.

- 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.

- 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.

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Your next step

Complete your application on join.pmicareers.com. The employer’s form will show what is required.

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About the role

We file this job under Data Leadership, by the work the posting describes.

Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.

Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.

Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.

US government figures for computer and information systems managers

Median yearly pay, May 2025: $175,140
Expected change, 2025 to 2035: 15.8% more jobsagainst 3.5% for all jobs

The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.

Job description

View original posting ↗

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

Source details

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