Sr. Manager, Data Science and Advanced Analytic Solutions

SAMYANG AMERICA INC•Brea, CA

2d•$120,000 - $140,000

About The Position

The Senior Manager, Data Science & Advanced Analytics Solutions will lead the development of analytics, business intelligence, and AI-driven decision tools that enable Samyang America to operate with speed, precision, and foresight. This role focuses on transforming data into actionable insights and predictive capabilities, supporting strategy, innovation, and commercial execution across the enterprise.

Requirements

8+ years of experience in analytics, data science, business intelligence, or related fields.
Strong experience developing analytics solutions that influence business decisions.
Proficiency in tools such as Python, R, SQL, and BI platforms (Power BI, Tableau, etc.).
Experience with data modeling, forecasting, and statistical analysis.
Ability to translate business problems into analytical frameworks.

Nice To Haves

Experience applying machine learning or AI in commercial or operational settings.
Experience in consumer goods, retail, or marketing analytics.
Familiarity with experimentation frameworks (A/B testing, causal inference).
Exposure to modern data platforms (Snowflake, Databricks, etc.).

Responsibilities

Develop and deploy automated dashboards and reporting systems across key business functions:
Sales & revenue performance
Marketing effectiveness & ROI
Financial performance
Innovation pipeline tracking
Executive scorecards
Standardize KPIs and ensure consistency in how performance is measured across the organization.
Build models for:
Demand forecasting
Pricing & elasticity
Consumer segmentation
Marketing mix optimization
Innovation success prediction
Translate complex data into clear, decision-ready insights.
Lead development of AI and machine learning applications to enhance decision-making.
Identify and prioritize high-impact AI use cases across functions.
Implement scalable solutions that move the organization from descriptive to predictive and prescriptive analytics.
Work closely with Strategy, Marketing, R&D, Finance, and Sales leaders to identify key business questions and translate them into analytics solutions.
Ensure analytics outputs are embedded into real business processes and decisions.
Treat dashboards, models, and tools as products, ensuring usability, adoption, and continuous improvement.
Drive a culture of test-and-learn, experimentation, and data-driven decision-making.