Senior Data Scientist

  • Data Science
  • Vilnius, Lithuania

Senior Data Scientist

Job description

As a Senior Data Scientist, you have extensive experience with generative and discriminative classification and regression, linear and non-linear dimensionality reduction, predictive analytics and time series modeling. You will be part of our Data Science Team and you are passionate about machine learning and data analysis.

Job description

  • You will design and implement state-of-the-art methods for both supervised and unsupervised learning.
  • You will work with big data (GPS fixes and sensors) from hundreds of thousands of users.
  • You will train algorithms to predict low events concepts (type of transports, home/work location) and human behavior (commuting, sporting, shopping).
  • You will help the team to improve upon current methods and models. With a practical mindset you will bring these models into a production environment.¬†
  • Your software development experience will allow you to closely collaborate with our Data Engineering team to improve our models and push them through our release process.
  • You will work in our office in Vilnius (Lithuania)


Desired skills and expertise

  • You have a masters degree or PhD in computer science or a related field.
  • You are an expert in machine learning and data modeling.
  • You have proven experience with generative (e.g. Gaussian Mixture Models) and discriminative (e.g. Random Forest) classification techniques.
  • You possess a deep understanding of clustering, manifold learning and predictive modeling techniques.
  • You have a strong mathematical background and analytical mindset.
  • You are fluent in English.
  • You can work independently and take matters into your own hands.
  • You have software development experience in Python.
  • The ability to quickly learn new technologies and successfully implement them is a true strength of yours.

We have 2 open Sr. Data Scientist positions, each with its specific focus:

Sr. Data Scientist Mobility Sensing - Experience with any of the following is desired:

  • Signal Processing: pre-processing, Band-pass filtering, downsampling with anti-aliasing, Fourier/Cepstrum analysis
  • Temporal Modeling: HMMs, Dynamic Bayesian Networks, Kalman and Particle Filtering

Sr. Data Scientist Lifestyles Interpretation - Experience with any of the following is considered a plus:

  • Geo-spatial and Spatio-temporal learning
  • Representation Learning
  • Natural Language Processing; Word2Vec, Doc2Vec, POS Tagging
  • Graph and/or Sequence Modeling and Mining; Node2Vec, Random Walks


  • Deep Learning; LSTMs, Convolutional neural networks, etc.
  • Sensor data modeling from mobile devices or wearables
  • Data engineering expertise
  • Experience with Java