The ideal staff should be highly motivated and experienced, will have a strong background in data management, machine learning, and AI, with a proven ability to translate business needs into actionable data-driven insights. You will play a critical role in developing and implementing data strategy and data science solutions that address R&I business challenges and drive decision-making.


Responsibilities:
--Collaborate with stakeholders across various business units to understand their needs and translate them into well-defined data driven solutions.
-- Ensure the availability/quality of data needed for AI and analytics use cases (integration, acquisition, cleansing, harmonization, and structuring in layers of Data-platform).
-- Work closely with the IT and Business Owners to align with the enterprise data strategy and governance.
-- Define data management strategy to meet functional business requirements.
-- Co-design analytics tools with functional Product Owner and IT to leverage the structured data.
-- Develop / implement machine learning and AI algorithms to address business problems, including predictive modeling, image processing, and natural language processing, etc.
-- Communicate findings and insights to both technical and non-technical audiences through clear visualizations and presentations.

Requirements:
-- Postgraduate degree in data science related field
-- At least 3-5 years, rich knowledge on database, data management and data analysis.
-- Ability to build processes supporting data transformation, data structures, metadata, and
dependency.
-- Strong Agile project management and organizational skills
-- Strong communication and presentation skills with various audience
-- Python, SQL, Power BI
-- Cosmetics or chemistry knowledge/experience is a plus.