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:

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

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

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

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.

It is better for you to have knowledge and hands-on experience in the state-of-art technologies such as data science, machine learning and artificial intelligence. The following abilities are better to have:   

You design, build, maintain, and troubleshoot the data models integrated in the solutions delivered by the transformation:

Ÿ   Assess the quality of the data; clean and aggregate when necessary

Ÿ   Compare and choose the right algorithms

Ÿ   Develop and train machine learning models

Ÿ   Troubleshoot the models in production

Requirements:

Ÿ   >3 years of experience in a marketing 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. Experience with MMM (Marketing Mix Modeling) and MTA (Multi-Touch Attribution) models is a strong plus.

Ÿ   Have good marketing and social media sense. Experience in using analytic tools like databank, 巨量引擎, etc. Strong understanding of media related knowledge as a plus

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

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

Ÿ   Good at teamwork, careful personality with a strong sense of responsibility, and logic analysis. Excellent communication skills in English. Experience with global projects is an advantage.