Data Scientist

PT HM Sampoerna Tbk.; Jakarta Pusat; On-site; IDR 500,000,000 - 800,000,000; Full time

Job summary

PT HM Sampoerna Tbk. in Jakarta (On-site) seeks 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 efficiency.

You will forecast outcomes, design A/B tests, and translate complex findings into pragmatic recommendations for senior leadership, using GA4, Looker, and Python-based tooling.

Qualifications

• Bachelor’s or Master’s in a quantitative field.
• ≥5 years in Data Science or Product Analytics.
• Advanced SQL and data manipulation skills.
• Strong Python with Pandas, Scikit-learn, Statsmodels.
• Experience with GA4, Looker, or similar analytics tools.
• Expertise in A/B testing and experimental design.

Responsibilities

• Build predictive models and analytical methods for trends.
• Analyze user journeys with GA4/Looker to improve product.
• Forecast outcomes using predictive and prescriptive methods.
• Design and analyze A/B tests and experiments.
• Apply Generative AI to automate workflows.
• Translate findings into actionable recommendations for leadership.

Skills

Data Science

Statistical analysis

Experiment design

Executive communication

Growth mindset

Education

Bachelor’s or Master’s degree in Data Science/Statistics/Math/Economics

Tools

SQL (advanced)

Python (Pandas/Scikit-learn/Statsmodels)

GA4 & Looker

Excel (financial modeling)

Time-series (Prophet/ARIMA)

Job description

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.

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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