Data Scientist

Exacaster helps to personalize engagements with 40 million customers for our clients in the Baltics, USA, Central and South America and the Caribbean. We operate one of the largest big-data environments in the Baltics and pursue some of the most challenging analytical projects.

The Exacaster Data Science team is looking for a Data Scientist who is willing to throw himself/herself into ever exciting and challenging AI development world. Our DS team is responsible for developing new AI/ML driven solutions to help our clients grow through personalized customer engagements.

We are looking for someone like you if you have strong problem-solving skills and are passionate about data science.

What do we expect from you?

  • Have 2+ years of experience in data science, data analysis or data engineering role with a focus on machine learning;
  • Experience using statistical computer languages to manipulate data and draw insights from large data sets;
  • Understanding of  machine-learning and operations research (including Neural Networks);
  • Experience performing object-oriented design – Python and software development lifecycle.
  • Experience in UNIX-based system administration.

Bonus points if you:

  • Hands-on experience with Dockerized deployment;
  • Have knowledge about Application Programming Interfaces (API’s);
  • Understanding about Amazon Web Services (AWS).

What do we offer?

  • Diverse and exciting challenges;
  • All the support that you need from our experienced team to become an even better professional;
  • A fair salary that matches your knowledge and experience with bonuses based on performance;
  • Personal learning and growth budget that you can spend to upgrade yourself even more, plus an experienced mentor;
  • Every second Friday free time dedicated to fun, experiments and trying new things;
  • The cozy office in the heart of Vilnius;
  • And the most important thing – super smart & crazy team!

Let’s have a talk with a cup of coffee. Send us an email with your Linkedin or CV to

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