Lead Data Scientist

Coca-Cola Europacific Partners Indonesia; Jakarta Utara; On-site; IDR 600.000.000 - 800.000.000; Full time

Job summary

A leading beverage company is seeking a Lead Data Scientist in Jakarta Utara, Indonesia. This role involves developing AI solutions and collaborating with stakeholders. The ideal candidate should have over 9 years of experience, a PhD or Master’s degree in a related field, and proficiency in tools like Spark, Python, and Databricks.

Qualifications

• 9+ years of experience in a technical data science role.
• Experience in using time‑series, supervised, and unsupervised machine learning techniques.
• Familiarity with emerging capabilities within AI.

Responsibilities

• Develop and implement data science solutions leveraging Databricks.
• Provide insights and recommendations based on statistical analysis.
• Collaborate with business stakeholders to align AI initiatives with objectives.

Skills

Strong understanding of AI explainability

Strong communication skills

Demonstrated experience in driving value through analytics

Analytical thinking and problem-solving skills

Adaptability and continuous learning mindset

Education

PhD or Master’s degree in Machine Learning, Data Science, or related field

Tools

Spark

Python

SQL

Databricks

Azure

Job description

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.

Key Responsibilities

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.

Experience (On the Job)

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.

Candidate Qualifications / Licences

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.

How many years' experience do you have as a Data Scientist?