Senior Data Scientist – International (m/f/d)

Full time
Locationinternacional Calendar13/01/2021   Full time

TalentSeed is revolutionizing the job market since 2017, through a specialized recruitment and selection service supported by our innovative technological Talent Management platforms.

We are an entity registered with the Portuguese board of psychologists and our mission is to present solutions in the Human Resources field, resorting to technology as a foundation of the innovation that we seek to present to our partners.

Our young, fun, and dedicated team aims to add value to companies and candidates, striving for the excellence of our services!

TalentSeed is currently recruiting:


 Data Scientist – Antwerp (Belgium), Toronto (Canada) or Vilnius (Lithuania) (m/f/d)



Our client is a data science company turning IOT sensor data into rich insights about people’s behaviour and real-time context.

As a Data Scientist, you will be integrated within a team with a passion for data science and data analysis. You’ll work in a fast-paced environment where you can use your programming skills to solve challenging data analytic problems.

You are an experienced machine learning practitioner and python programmer, with experience in software engineering.

You will have the following responsibilities:

  • Help improving current methods and models, bringing these models into a production environment;
  • Working with big data (GPS fixes and sensors); training algorithms related to activity detection and human behaviour;
  • Create machine learning pipelines capable of extracting insights from social interactions between users and design context-aware recommender systems;
  • Closely collaborate with the Data Engineering team.


  • Master degree or PhD in Computer Science or a similar field
  • Fluency in English (mandatory)
  • 3 years of experience in designing and deploying machine learning pipelines to production
  • Knowledge of deep learning implementation with Tensorflow
  • Knowledge of software engineering and deployment to production
  • Experience with relational and non-relational databases
  • Experience with analyzing data and performing statistical analysis 
  • Experience with Python and software engineering
  • Experience with machine learning and data modelling.


  • Signal processing and Geo-spatial data processing;
  • Sensor data modelling from mobile devices or wearables;
  • Knowledge of data engineering (Spark, Kafka…) and mobile programming (Android or iOS).
  • MLops Technologies (MLflow)