Company: Context Scout
Role: Apply Machine Learning/data science to work on applying statistical modelling to web browsing behaviour data
You should have:
• Solid previous experience in solving large analytical problems using statistical, machine learning or other quantitative methods (e.g. supervised/unsupervised learning, graphical models, time series analysis, statistical testing)
• B.S. degree (or higher) in Computer Science or Electrical Engineering (or equivalent experience)
• Solid programming skills in at least one of, Python, Scala, C/C++ or Java (Python is preferred).
• Self-motivated researcher with ability to work on industrially relevant research
Experience with some of the following is a plus:
• Working with machine learning, information retrieval, web search, NLP, knowledge bases and graph frameworks such as Pandas, scikit-learn, NumPy or SciPy
• Working in a research team
• Working in a fast-paced startup environment
How to apply:
Please complete this online application form + send your CV to gracie@capitalenterprise.org