Data Scientist (Manager), Brand Finance

About the Company

Samyang Foods SEA Pte. Ltd. is the APAC Regional Headquarters of Samyang Foods, a leading South Korean food company established in 1961. Renowned for globally recognized brands such as Buldak Hot Chicken Flavor Ramen, Samyang Foods has grown into an international food company with a presence across Asia, North America, Europe, and other key markets.

Driven by a commitment to quality, innovation, and consumer satisfaction, Samyang Foods develops and distributes a diverse range of food products while maintaining internationally recognized food safety and quality standards. As the company continues its global expansion, Samyang Foods SEA Pte. Ltd. as the APAC Regional Headquarter, plays a key role in strengthening the brand's presence by leading strategy, new products and go-to-market across Southeast Asia and Oceania.

At Samyang Foods SEA, we foster a collaborative, dynamic, and growth-oriented work environment where employees are empowered to contribute, innovate, and develop their careers while supporting the continued success of one of Korea's most recognized food brands.

About the role

You will turn the region’s commercial data into decisions. Working inside the brand finance team and closely with marketing, sales and demand planning, you will build the models and dashboards that tell us what sells, where, at what price and why, and what a new product or campaign is likely to add. This is a hands-on role in a team being built now, with direct visibility to regional leadership. This role reports into Regional CFO.

Responsibilities

• Build and maintain the regional commercial data foundation: sell-in, sell-out, retail audit and e-commerce data across markets and channels.
• Develop models for promotion effectiveness, price elasticity and return on marketing spend
• Estimate incremental volume for new products and campaigns and track actual versus forecast after launch.
• Support demand planning with baseline and uplift models by market, channel and SKU.
• Design and run dashboards for brand, market and channel performance used in monthly reviews.
• Partner market intelligence on consumer and retail data integration.
• Document methods so results are reproducible and understood by non-technical teams.

Qualifications

• 4+ years in data science or advanced analytics, with at least 2 years on commercial, pricing or marketing-mix problems in consumer goods, retail or e-commerce.
• Strong Python or R, SQL, and at least one BI tool (Power BI, Tableau or similar).
• Experience with time-series forecasting, regression or uplift modelling, and working with messy multi-source data.
• Able to explain a model’s output to a marketer or a finance partner in plain language.
• Fluent English.
• Bachelor’s or master’s degree in statistics, data science, economics, engineering or a related field.

Due to the volume ofapplications, we regret to inform only shortlisted candidates are contacted.