Data Scientist

岗位职责和要求

Responsibilities:

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

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

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

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

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

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

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

Business alignment and solution design

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

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

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

Cross function cooperation

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

Requirements:

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)

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.

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

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

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

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

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

Excellent communication skills in English.