Brandnographer works with visionary innovators and now, we are looking for a game changer who can bring skills and expertise to join our growing team.

What we need:

We are looking for an open-minded, high caliber personnel to join our team.

What you’ll be doing in this role:

Utilize relevant Business Intelligence visualization tools, such as Tableau and Power BI in different situations and conduct training sessions to executive teams.
Perform research and development in areas including machine learning, natural language processing, data analytics;
Develop modules or libraries in Python to support various ML/NLP tasks;
Conduct individual projects on text analytics, such as sentiment analysis, information extraction, topic classification, trend detection, knowledge graph, etc.;
Prepare clear documentations and reusable source codes for research and development projects.




You are the one if:

Minimum 1 – 2 years of experience as a data scientist;
Knowledge in machine learning, natural language processing, data analytics, knowledge graph, and related areas;
Obsessed with data; analytical and rigorous, with a thorough understanding of statistics and machine learning
Hands-on experience in R/Python/MatLab/SQL and common data processing and machine learning libraries, such as pandas, numpy, scikit-learn, nltk, fastText, etc.;
Knowledge and experience in using GIT for collaborative development and source code management;
Knowledge and experience in Big Data systems such as Hadoop, Spark, HBase are welcome;
Knowledge of SEO, SEM and search engine keyword search
Must have a Hong Kong Bachelor, Masters or Phd degree with emphasis in computer science, information technology, statistics, machine learning, psychology and economics

It’d be nice if you also have:

Work experience in an early stage high-performing startup and cross-functional team culture.

Language requirements:

Excellent written and presentation skills in English, Mandarin and Cantonese

Educational level:

Bachelor’s Degree

Level of experience (years):

Mid Career (2+ years of experience)

Tagged as: , , ,