Cool professionals do not stop and are always looking for ways to improve their expertise. It is for such specialists that the position of Senior Data Scientist in the NIX team is suitable. With us, an expert can move to the next level and reach their full potential!WHAT AWAITS YOU: Be a proactive team player.Collaborate with the team to implement new features to support growing data needs.Create, maintain and deploy DS and ML pipelines, including search data, pre-processing, feature development
Cool professionals do not stop and are always looking for ways to improve their expertise. It is for such specialists that the position of Senior Data Scientist in the NIX team is suitable. With us, an expert can move to the next level and reach their full potential!WHAT AWAITS YOU: Be a proactive team player.Collaborate with the team to implement new features to support growing data needs.Create, maintain and deploy DS and ML pipelines, including search data, pre-processing, feature development, model training and derivation, analysis and visualization of results. Share knowledge with other teams on various topics related to data science or projects. Collaborate with the team to decide which tools and strategies to use in specific scenarios. WHAT YOU NEED: English level upper Intermediate+. Good mathematical and statistical training, tensor calculus. Good knowledge of databases such as Postgres, MongoDB and SQL. Python language, including practical experience with Scikit-learn, Numpy, Pandas libraries and Matplot. Hands-on experience with gradient boosting algorithms (XGBoost or LightGBM). At least one framework for building and training neural networks (TensorFlow/Keras, PyTorch), good understanding of neural network architecture and practical advice. Commercial experience with classical machine learning and deep learning , including NLP and CV models such as Bert, Resnet. Hands-on skills in building end-to-end ML learning pipelines (data loading, preprocessing, training, inference) as well as GitHub / GitLab CI/CD streams. Docker or Kubernetes platform. Experience working with Data Scientist for more than 4 years. WILL BE AN ADVANTAGE: Practical experience with AWS, or Azure or GCP. Ability to work with Spark, Airflow. WHAT WE WOULD LIKE TO OFFER YOU: Maximum opportunities to learn new roles as a solution architect, tech leader or group leader, etc. Non-standard tasks that will affect the development of the project, product, business of the customer in general. Participation as an expert in the mentoring system and professional conferences where you can share your experience. Decent remuneration that corresponds to the role in the team and can flexibly grow with new tasks. Informal corporate culture with a transparent decision-making system and friendly support. The opportunity to choose between modern office spaces in Poltava or Kharkiv and a remote format, which is possible with a guarantee of stable communication. If you are ready for a fundamentally new stage, send your resume to [respond]. We will be happy to see how we can do something cool together!