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.
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 postingBuild 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.
Posting record
Report an error- 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
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
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.
Your next step
Complete your application on join.pmicareers.com. The employer’s form will show what is required.
Applying through Phenom
- Phenom runs the employer’s careers site, but the application itself usually runs on another system, often Workday or Taleo. The advice for that system applies once you click Apply.
Already applied? Track this application
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.
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.
About the role
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
US government figures for data scientists
- Median yearly pay, May 2025
- $120,230
- Expected change, 2025 to 2035
- 34.6% more jobsagainst 3.5% for all jobs
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Job description
Data Scientist
Location: Jakarta, Indonesia
Working Pattern: On-site
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.
#sampoerna
#sampoerna
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Jakarta, Indonesia
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.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.