Chatbot for customer engagement automation
Data Scientist with NLP (junior) - Faqbot’s job description€30k – €40k
You'll contribute to the development of our natural language processing model and work on the machine learning capability.
Your Profile :
> You are intrigue by new technologies and motivated to work in a Startup.
> 1 to 4 years of experience as data scientist or with NLP projects.
Familiar with mathematical, statistical and programmatic knowledge within NLP.
> Developed predictive modeling, statistics, data mining and other data analysis techniques to collect, explore and extract insights from data.
> Experience with chatbot, artificial intelligence engine and machine learning.
> You have excellent written and verbal communication skills.
> You have a self-taught mind-set and looking to make a different.
> Degree in Computer Science, Linguistics, Natural Language Processing, Mathematics, Machine Learning or equivalent expertise.
Your Responsibilities :
> Maintain and develop the natural language processing engine adapted for FAQ.
> Translate market requirement into product feature and new capabilities.
> Monitor and track the good functioning of the service during operation phase.
> Develop new machine learning capabilities.
> Contribute and put in place testing and evaluation metrics.
Desired Skills / Familiar :
> Familiar with cloud services (i.e. Amazon Web Services, ..), big data technologies and analytics packages is a plus, scripting languages (i.e. > Python, Perl,...), programming languages (i.e. Java, SQL), deep learning frameworks (i.e. Tensorflow, Torch, ...).
> Familiar with No-SQL such as MongoDB, relational databases and unstructured data.
Come join a passionate team. If you can dream it, together we can build it. Remuneration will be adapted to your level of experience.
Faqbot at a glance
Faqbot focuses on Mobile, SaaS, Artificial Intelligence, and Natural Language Processing. Their company has offices in Brussels. They have a small team that's between 1-10 employees. To date, Faqbot has raised $684.847K of funding; their latest round was closed on January 2018 at a valuation of $1.985M.