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Data Scientist

 

Job Purpose

 

As the data scientist you will play an important role in our data driven ambition. You will mine data, process and build/optimize classifiers using machine learning techniques. In your role it is key to generate business insights out of our data to steer business decisions. While data is in your DNA you are a team player who gets true motivation from driving our Heineken business.

 

Accountabilities

 

No.

Key Activities

 

Results

1

Analytics & data modelling


• Data mining using state-of-the-art methods
• Extending company’s data with third party sources of information when needed
• Enhancing data collection procedures to include information that is relevant for building analytic systems
• Processing, cleansing, and verifying the integrity of data used for analysis

Identify measurement approach based on available data sources and prepare structured/unstructured large data sets for testing and modelling purposes


• Creating automated anomaly detection systems and constant tracking of its performance (nice to have)
 

2

Drive a data driven way of working

  • Building new data views to support the business and providing improved informed business decisions
  • Create insights and key beliefs out of data models and verification with deployment (test & learn) team
  • Results are measured on a daily/weekly basis and post-campaign through standardized dashboards

 

 

3

Competitive Intelligence

  • Analyzing external developments and map to internal business operations to identify customer segments and opportunities to grow
  • Identify areas of data driven opportunities beyond current organizational thinking
  •  

4

Data community

 

  • Pro- actively share data learnings and knowledge across our APAC data community
  • Take learnings from other markets to adapt in Vietnam

 

 

Position profile

Qualifications:

  • Bachelor or Master degree ( E.g. Information Systems, Data Science, Business administration)
  • At least 2 year of experience in FMCG, Ecommerce, Logistics

 

Experience / skills required:

  • Proven experience as a Data Scientist
    • Understanding of machine-learning and operations research
    • Knowledge of R, SQL and Python
    • Excellent communication and presentation skills
    • Experience with data visualization tools.
    • Experience with NoSQL databases, such as MongoDB, Cassandra, HBase (nice to have)
    • Good applied statistics skills, such as distributions, statistical testing, regression, etc.
    • Good scripting and programming skills

Language(s):

  • Vietnamese
  • English

Functional Competencies:

  • Knowledge of R, SQL and Python
  • Experience with NoSQL databases, such as MongoDB, Cassandra, HBase (nice to have)
  • Advanced data analytics skills

Behavioral & soft skills

 

Next to an analytical mind you are a true business acumen. You have a commercial way of thinking, business understanding and you can communicate well with various stakeholders; sales, trade marketing, marketing and the regional team. Besides you like to transfer knowledge and capabilities to others.


Job Segment: Database, Scientific, Information Systems, SQL, Data Mining, Engineering, Technology

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