Philip

Data Scientist

Jakarta, Indonesia

Live, first seen by us 14 days ago

Pay: Pay not listed
Work setting: On-site — work setting source
Data Scientist Location: Jakarta, Indonesia Working Pattern: On-site At PMI, we’ve chosen to do something incredible. We’ve transformed our business and are building our future on one clear purpose—to deliver a smoke-free future.
Read the full posting
Employment: Not stated

What you’ll work on

Full posting

Build predictive models and statistical reports on large, complex datasets
Design and analyze A/B tests and multivariate experiments
Forecast business outcomes using predictive and prescriptive methods
Map user journeys in GA4 and Looker to find drop-offs and suggest product fixes
Apply Generative AI to automate manual business workflows

From the employer’s posting

Build predictive models, statistical reports, and analytical methods to identify trends in large, complex datasets.

Design and analyze A/B tests and multivariate experiments, including hypotheses, sample sizes, and statistical significance.

Forecast business outcomes using predictive and prescriptive methods, probabilities, and defined confidence levels.

Use Google Analytics 4 and Looker to map user journeys, identify drop-offs, and recommend product improvements.

Apply Generative AI to improve business processes and automate manual workflows.

Education & alternatives

Must-Haves - Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, Economics, or another quantitative field. - At least five years of experience in Data Science, Product Analytics, or a related quantitative field.

Apply at Philip

Posting record

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Status in our records: Live
First seen by us: Oct 21, 202614 days ago
Recorded sightings: 36
Last seen by us: Nov 4, 2026
Reposted: once since Jun 11, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.

How this job compares

Time since we first saw it

Day 14

Similar jobs usually come down between day 7 and day 55.

From 9,971 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.

Hiring at a steady pace
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
Excel
pandas
scikit-learn

Where the posting names them

- Advanced SQL skills, including common table expressions and window functions. - Strong Python skills, including Pandas, Scikit-learn, and Statsmodels. - Expert proficiency in Google Analytics 4, Looker, or similar product analytics tools.

- At least five years of experience in Data Science, Product Analytics, or a related quantitative field. - Advanced SQL skills, including common table expressions and window functions. - Strong Python skills, including Pandas, Scikit-learn, and Statsmodels.

- Deep knowledge of A/B testing and Frequentist or Bayesian experimental design. - Advanced Excel skills, including financial modeling, complex formulas, and data manipulation. - Experience with time-series analysis using methods such as Prophet and ARIMA.

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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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Has Philip posted this job before?

Yes. We’ve followed 6 other Data Scientist jobs there since April 2026. 3 came down, usually after about 84 days. 3 are still up.

AlmatyCame down after 5 days, first seen Apr 23
JakartaCame down after 84 days, first seen Jun 11
BudapestCame down after 120 days, first seen Jun 17
Makati CityStill up after 71 days, first seen Aug 25
TaguigStill up after 58 days, first seen Sep 7
KrakówStill up after 30 days, first seen Oct 5
This jobUp 14 days so far, first seen Oct 21

If this one keeps the same pace, it may come down around January 13.

Large employers often post one title for several teams, so these can be separate openings.

Job description

View original posting ↗

Data Scientist

Location: Jakarta, Indonesia
Working Pattern: On-site

At PMI, we’ve chosen to do something incredible. We’ve transformed our business and are 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.

We are looking for a Full Stack Data Science and Analytics professional to connect advanced statistical modeling with agile product growth. You will manage the end-to-end data lifecycle, build predictive models, and lead experimentation that improves user engagement and business efficiency.

Impact You’ll Own

Turn complex data into actionable insights that support business decisions.
Improve product engagement through rigorous experimentation and user behavior analysis.
Strengthen forecasting and planning through predictive and prescriptive analytics.
Automate manual workflows using Generative AI solutions.
Communicate clear, practical recommendations to senior leaders.

What You’ll Do

Build predictive models, statistical reports, and analytical methods to identify trends in large, complex datasets.
Apply analytics across market economics, supply chain, marketing, advertising, and scientific research.
Forecast business outcomes using predictive and prescriptive methods, probabilities, and defined confidence levels.
Design and analyze A/B tests and multivariate experiments, including hypotheses, sample sizes, and statistical significance.
Use Google Analytics 4 and Looker to map user journeys, identify drop-offs, and recommend product improvements.
Apply Generative AI to improve business processes and automate manual workflows.
Translate complex findings into actionable recommendations for senior leadership.

Skills & Capabilities

Must-Haves

Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, Economics, or another quantitative field.
At least five years of experience in Data Science, Product Analytics, or a related quantitative field.
Advanced SQL skills, including common table expressions and window functions.
Strong Python skills, including Pandas, Scikit-learn, and Statsmodels.
Expert proficiency in Google Analytics 4, Looker, or similar product analytics tools.
Deep knowledge of A/B testing and Frequentist or Bayesian experimental design.
Advanced Excel skills, including financial modeling, complex formulas, and data manipulation.
Experience with time-series analysis using methods such as Prophet and ARIMA.
Experience with growth modeling, including S-curves.
Strong product mindset and ability to explain technical concepts to non-technical executive audiences.

Nice-to-Haves

Experience applying Generative AI to business processes.
Ability to move between long-term research and fast-paced experimentation.

Application Process

Apply online and submit your updated resume. Selected candidates will be contacted regarding the next stage of the recruitment process.

Equal Opportunities Statement

We believe that diverse perspectives and experiences make us stronger. As an equal opportunity employer, we are committed to creating a workplace where every individual feels welcomed, respected, valued, and empowered to reach their full potential.

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