Senior Full-Stack Data Scientist: Product Growth & AI

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

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.