Lead Data Scientist

Coca-Cola Europacific Partners; Daerah Khusus Ibukota Jakarta; On-site; USD 45.000 - 75.000; Full time

Job summary

A leading company in the food and beverage industry seeks a Lead Data Scientist to implement AI solutions across the region. This hands-on role requires extensive experience in data science, particularly in commercial or supply chain contexts, leveraging technologies like Databricks. Candidates should have a strong academic background coupled with the ability to provide actionable insights, making them valuable advisors to the business.

Qualifications

• 9+ years of experience in a technical data science role required.
• Proficiency in Spark, Python, SQL, and cloud platforms (Databricks, Azure).
• Strong understanding of AI explainability and driving value through analytics.

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.

Skills

AI explainability

Analytical thinking

Problem-solving

Collaboration

Effective communication

Continuous learning

Education

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

Tools

Spark

Python

SQL

Databricks

Azure

Job description

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

Behavioural Competencies

• Analytical thinking and problem-solving skills.
• Strong collaboration and teamwork abilities.
• Effective communication and presentation skills.
• Adaptability and continuous learning mindset.