Role executes summary
Cognitive and Sensory Science generates extensive annual test data. We are seeking a high‑impact AI & Data Scientist to unlock the full potential of data and transform Cognitive Sensory Science through advanced analytics, AI technologies, and digital innovation. This role will play a critical part in transforming raw evaluation data into predictive insights that accelerate product development, strengthen performance and claims, and improve evaluation productivity.
This position also acts as a catalyst for digital transformation within cognitive sensory organization and contributes to building a strong data-driven culture within the team. The successful candidate will dedicate to building a new generation of hybrid insights that empower future innovation
Main Responsibilities:
- Sensory Science and Project Management: Ensure high-quality data generation through certain effective sensory panel and management. Work closely with project team to define relevant sensory studies by clarifying project background, objectives, and appropriate evaluation methods. Manage and prioritize study requests to ensure efficient project delivery and high productivity. Develop and promote new sensory methodologies and customized protocols to support fast product innovation and future needs.
- Capability Building & Digital Innovation: Identify opportunities to enhance cognitive sensory evaluation productivity through digital solutions, automation, and AI-driven approaches. Develop data science models and analytical tools to improve evaluation efficiency and insight generation. Explore emerging technologies such as machine learning, generative AI, and advanced analytics to modernize cognitive and sensory science practices.
- Data Insight & Predictive Analytics: Analyze complex product evaluation datasets and translate results into clear, actionable insights that support product optimization and strategic decisions. Lead predictive analytics initiatives by exploring and developing data-driven prediction models using existing sensory datasets. Ensure data quality standards and methodological compliance while collaborating with local and global stakeholders to advance predictive capabilities.
- Reporting & Visualization: Develop and maintain dashboards and visual reports to communicate insights clearly and effectively to stakeholders.
- Collaboration & Communication: Partner with project teams and stakeholders to understand analytical needs and deliver tailored solutions. Communicate complex analytical findings in a clear and accessible way to both technical and non-technical audiences.
Requirements:
- Capability in data analysis, business intelligence, or a similar quantitative role, preferably within a product evaluation, R&D, or quality assurance context.
- Strong proficiency in SQL for data extraction and manipulation.
- Expertise in at least one statistical programming language (e.g., Python with libraries like Pandas, NumPy, Scikit-learn; or R).
- Experience with data visualization tools (e.g., Power BI) to create compelling and interactive dashboards.
- Solid understanding of statistical analysis techniques (e.g., hypothesis testing, regression analysis, ANOVA, Bootstrap methods) and their application to experimental data.
- Familiarity with AI technologies, including machine learning pipelines, automation, or generative AI applications, is highly desirable.
- Ability to translate complex analytical findings into clear, actionable business recommendations.
- Excellent written and verbal communication skills, with the ability to present technical information to diverse audiences.
- Passion and have the sense for beauty industry
EDUCATIONAL BACKGROUND & EXPERIENCE:
- Master's above degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a closely related quantitative field.
- With 1-3 years of experience in data analysis, business intelligence
Personal Qualities:
- Strategic thinker with the ability to identify opportunities where data and AI can create scientific and business impact.
- Influential communicators are capable of engaging scientists and stakeholders in adopting data-driven approaches.
- Highly curious and open to exploring emerging technologies, digital tools, and AI-driven methodologies.
- Proactive and strong problem-solving mindset to identify problems and develop innovative data-driven solutions.
- Driven by impact, with a focus on delivering tangible value and measurable improvements through data insights.
- Able to articulate complex technical information clearly and concisely, fostering understanding and driving alignment across teams.
- A team player who thrives in a collaborative environment and can build strong working relationships with colleagues.