Data Scientist Manager

About Us

Eka Jaya Group is a leader in the beauty industry, proudly home to premium brands Hanasui, NCo, FYNE, and Eomma. Since our establishment in December 2016, we have been driven by our core values:
Integrity, Compassion, Innovation, and Customer Satisfaction (IC-2). With our own private factory, we ensure superior product quality, timely delivery, and competitive pricing. As a fast-growing company, we continuously leverage data and innovation to drive business growth and make better strategic decisions. We are looking for passionate individuals to join our dynamic team and contribute through data-driven insights.

Data Scientist Manager.

• Bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, or related fields
• 2–3+ years of experience in Data Science or analytics roles, preferably in consumer goods, retail, or related industries
• Strong proficiency in Python/Java and machine learning frameworks (Tensor Flow, Scikit-learn, Spark MLlib)
• Solid understanding of statistical methods and data science techniques (regression, classification, clustering, A/B testing)
• Familiarity with big data technologies, ETL pipelines, and data visualization tools
• Experience or exposure to business use cases such as demand forecasting, customer segmentation, pricing, or promotion analytics is a plus
• Understanding of consumer behavior, sales, and marketing data is preferred
• Strong analytical thinking with the ability to translate data into business and commercial insights
• Excellent communication skills to work with both technical teams and business stakeholders
• Proven ability to collaborate in cross-functional teams in a fast-paced, data-driven environment

• Data Collection & Analysis: Collect, clean, and analyze large-scale data from sales, marketing, supply chain, and consumer data platforms to generate meaningful insights
• Machine Learning & Predictive Modeling: Develop and deploy machine learning models for demand forecasting, customer segmentation, pricing, and promotion optimization
• Consumer & Marketing Analytics: Analyze consumer behavior, customer lifetime value, and marketing effectiveness to support business growth
• Business Collaboration & Implementation: Work closely with business stakeholders to translate analytical models into scalable, production-ready solutions
• Insight Translation & Strategy: Translate complex data findings into actionable strategies for commercial, marketing, and operations teams
• Model Monitoring & Improvement: Continuously monitor, evaluate, and improve model performance in a fast-paced FMCG environment
• Advanced Analytics for Business Optimization: Identify opportunities in pricing, distribution, and product performance through advanced analytics