Danone China

Responsibilities:

Integrated into data team, you partner with different stakeholders to:

Ÿ   Qualify the feasibility of Use Cases and validation of PoC (Proof of Concept)

Ÿ   Provide analytical support to evaluate business strategies, extract insights qualitatively and quantitatively from data and optimize business models

Ÿ   Leverage state-of-art technologies and innovative solutions to solve business problems with ability to think and research creatively

When consulted on a business challenge, you will function as a business analytics expert. As a data scientist with analytical focus, you will particularly work on:

Data analysis and modeling

Ÿ   Perform analysis on large sets of data in CDP (customer data platform) to extract insights that will guide our business growth strategy

Ÿ   Build and maintain analytical models to analyze data from different sources to provide practical insights, which can be incorporated into digital transformations strategy.

Ÿ   Develop data visualization features to generate insights and support data storytelling.

Business alignment and solution design

Ÿ   Iterate with the business and the rest of the project team in an agile way to develop, adapt and refine the solution to enable maximum business impact

Ÿ   Run experimentation initiatives; design test plans, obtain cross -functional alignment, complete robust analysis, and deliver practical insights.

Ÿ   Communicate data-driven insights and recommendations to business stakeholders, non-technical audience, through clear visualizations and presentations

Cross function cooperation

Ÿ   Data scientist work requires close collaboration with media, IT, legal, finance, and other departments to promote project implementation.

Requirements:

Ÿ   3-5 years of experience in analytics and/or data science role, preferably in analytics-related degree.  (MS degrees in Mathematics, Econometrics, Computer Science/Engineering, Statistics or related is better)

Ÿ   Strong analytical and learning ability, strong logical expression ability and innovative mind, able to quickly learn and innovate analytics on fast-changing marketing. Love the retail FMCG industry and have a strong interest in social media and private domain tactics.

Ÿ   Proficiency with machine learning algorithms (e.g., regression, boosting, clustering) and hands-on experience in model building. 

Ÿ   Proficient in SQL, python, pyspark. Experience in A/B testing and experimental design would be preferred

Ÿ   Excellent in presentation skills, distilling complex analysis and concepts into concise business-focused takeaways

Ÿ   Strong problem-solving skills and attention to detail and need to have a strong desire and ability to learn, continuously absorbing new knowledge

Ÿ   Good at teamwork, careful personality with a strong sense of responsibility, and logic analysis.

Ÿ   Excellent communication skills in English.