Data Scientist jobs in Indonesia
Lead Data Scientist
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Lead Data Scientist
Job summary
A leading beverage company is seeking a Lead Data Scientist in Jakarta Selatan, Indonesia. This role focuses on delivering AI explorations and implementing data science solutions to meet business objectives. Ideal candidates will have 9+ years of technical data science experience and proficiency in tools like Spark and Python. Strong analytical and communication skills are essential. Join a dynamic team that values innovation and data-driven decision making.
Qualifications
- 9+ years of experience in a technical data science role.
- Demonstrated experience in driving value through analytics.
- Experience working in large and complex environments.
Responsibilities
- Develop data science solutions leveraging Databricks.
- Align AI initiatives with business objectives.
- Provide insights based on statistical analysis.
Skills
Education
Tools
Are you looking for new challenges and personal growth within Coca-Cola Europacific Partners Indonesia? Then we have a great opportunity for you.
Please attach an updated CV with your application.
The Lead Data Scientist will deliver AI explorations identified via the AI Incubator process across the APS region. This hands‑on role requires a data scientist with a commercial or supply chain background and demonstrated experience in using time‑series, supervised, and unsupervised machine learning techniques. The candidate's experience in the retail or food and beverage industry will be highly regarded.
- Develop and implement data science solutions leveraging Databricks.
- Collaborate with business stakeholders to align AI initiatives with business objectives.
- Provide insights and recommendations based on statistical analysis and machine learning.
- Stay abreast of advancements in AI and data science and use cases.
- Be a trusted advisor to the local business regarding Data Science and AI, its applications, use cases, and limitation.
- Strong understanding of AI explainability and familiarity with techniques such as SHAP values and counterfactual explanations to ensure models are highly explainable and provide expected results.
- Strong communication skills for conveying technical insights to stakeholders.
- Demonstrated experience in driving value through analytics.
- Experience working in large and complex environments.
- Familiarity with emerging capabilities within AI such as LLMs, RAGs, and AI agents, and the ability to articulate their use cases and risks.
- Experience with the design of artifacts within MLflow to monitor models in production.
- PhD or Master’s degree in Machine Learning, Data Science, or a related field.
- Proficiency in Spark, Python, SQL, and cloud platforms (e.g., Databricks, Azure).
- 9+ years of experience in a technical data science role.
- Analytical thinking and problem‑solving skills.
- Strong collaboration and teamwork abilities.
- Effective communication and presentation skills.
- Adaptability and continuous learning mindset.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.