About Us

Artefact is the next generation end-to-end data service company, with a focus on consulting and marketing, that helps organizations transform data into value and business impact. 

Our broad range of data-driven solutions in data consulting and digital marketing are designed to meet our clients’ specific needs, always conceived with a business-centric approach and delivered with tangible results. 

We have 1200+ employees across 23 offices who are focused on accelerating digital transformation. Thanks to a unique mix of company assets: State of the art data technologies, lean AI agile methodologies for fast delivery, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts, all dedicated to bringing extra value to every client.

 

About The Role

Key Areas of Responsibility 

As a Senior Data Scientist, your role will encompass:

  • Conducting ambitious projects in the transformation of clients through data ;
  • Collaborating with the other Divisions (Activation, Creativity, and Strategy) to provide comprehensive services to your clients ;
  • Developing privileged relationships with our clients, using your technical abilities to assist in the transformation of their marketing department.

Among your responsibilities as a Senior Data Scientist, you will be responsible for:

Performing data projects

  • Securing delivery on your projects
  • Communicating your work and achievements among the team
  • Working closely with your Consulting counterpart to build and maintain strong relationships with your clients and best understand their needs
  • Ensuring that your solutions are bringing values to the client problematic
  • Being a good team player, knowing your role and responsibility in the global ambition

Being a great tech person

  • Demonstrating the skill and credibility required to ensure the success of our clients’ initiatives
  • Researching and developing new technical approaches to address problems efficiently
  • Sharing best practices and contributing to Artefact’s institutional knowledge
  • Embodying Artefact’s values and inspiring others to do the same

Competences & Skills

  • A Master's degree in machine learning, mathematics, computer science, or related fields
  • Min 5 years of hands-on experience developing and applying data-driven solutions in a corporate or consulting setting, preferably in a consumer marketing context (experience in the web industry is a plus)
  • Strong knowledge of data processing, data modeling, algorithms, and data architecture
  • Intellectual curiosity and excellent problem-solving skills, including the ability to structure and prioritize an approach for maximum impact
  • Fluent in Korean and English

 

Our Belief

We believe data is changing the world, and it’s just the beginning. We want this to be done in the right way, with transparency and ethics. This is the only way to create sustainable impact for business and society.

Our Mission

We are on a mission to build the next generation of data leaders who:  

  • Fully capture the power of data & digital to deliver business value ;
  • Bring understanding, trust & transparency of data into our society.

Our Values

  • Collaboration : People of different background and expertise working closely together;
  • Trust & Transparency: Dealing with data topics with integrity and ethics; Realistic and honest with our capabilities and limitations;
  • Innovation: Always working on the most trendy and new topics on data and digital; Always on top of the new ways of using data;
  • Action: We would rather do than to tell what to do; Has a “building the plane while flying” agile mentality.

Our Unique Attributes

  • We bring great value to business and create a better society with the understanding, transparency and ethical use of data ;
  • We build the next generation of data leaders ;
  • We disrupt the market :
  • Data Native - Born with data and defining data ;
  • ART + SCIENCE - Mixture of talents in ART (Creative, Planning, Media, Consumer Engagement) and SCIENCE (Data Consulting, Data Science, Data Engineer) ; 
  • One P&L - Integrated & collaborative, with all chapters working toward the same goal ;
  • End to End - Capabilities from Strategize to Build to Run.

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