Position: Senior Data Scientist (5,6K)
Company: TLD
Experience required: 3y
English level: intermediate

About N.Rich
N.Rich is the leading SaaS ABM Platform in Europe serving enterprise and mid-sized B2B companies. The key highlights of N.Rich platform are #1 capabilities globally in terms of Account targeted advertising and #1 easiest-to-use Account-based advertising components. N.Rich is well-positioned for hypergrowth during the next few years following the post-covid surge of demand in digital marketing solutions for B2B companies. N.Rich is a VC Funded company with HQ in Helsinki, Finland and 150 team-members around the world (Finland, UK, Belarus, Denmark, Russia, Philippines). 

N.Rich operates fully remotely without offices. We offer a flexible working environment with a competitive salary, ability to become an integral part of the product development team of a fast growing company. Our development team has currently 11 members in Rostov na Dony. 

**Job description: **
Language skills: At least good English, Russian is a plus.
**Experience requirement: **
At least 4-5 years of experience in data science. Experience in NLP and predictive analytics is required.

As a senior data scientist, you will be responsible for designing and implementing data pipelines related to the vast global B2B dataset our application is generating (in the magnitude of billions of rows of data, accumulating in the pace of 10s of millions of rows a week). 
The data sources include for example bidstream / advertising data, client website data, marketing automation system data and CRM data.

In your role you need to bridge the gap between the raw data and the user experience. Our development team is in charge of implementing putting the data models and pipelines into production as well as for creating the user experience to support it, and your role is to enable extracting valuable insights out of the data. 

Of particular interest to us is developing machine learning-powered algorithms for extraction of intent data based on the browsing behaviour of the end user. 
NLP should be the key are a of competence as majority of the dataset is text-based, but also reinforcement learning competence will be considered a plus.

You need to be fluent in communication with the development team, having a basic understanding of data pipelines and their development, although you don’t need to fulfil the requirements of a Data Engineer - this is a role fulfilled by the development team.

N.Rich has worked with the leading university of Finland with developing the AI approach for B2B. Here is a recent article from Industrial Marketing Management publication describing one thread of the research: https://tinyurl.com/59e4esb7

**Compensation: $5600 / month**