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Senior Data Scientist

ABOUT COMPANY
The company provides a complete solution for ship managers and owners using AI technology

ABOUT PROJECT

Is a cloud based fully integrated ERP system for the shipping industry. The main goal of the product is to allow shipping companies to improve productivity, efficiency and safety levels, while reducing costs. The solution enables increased automation and streamlining of processes, creating pre-defined work flows and reducing the usage of email and paper.

 

Office Location

Kyiv BC Gulliver/Remote

Conditions

Competitive salary, A flexible working schedule, remote or office in Kyiv (BC Gulliver), 20 days of paid vacation + 15 days paid sick leaves, PE accounting, Premium medical insurance, MacBook Pro 16”

Requirements

  • Has minimum 5 years of experience building Machine Learning models and workflows (TensorFlow, etc. a plus)
  • Knows how to get data from a relational database with SQL and is fluent in working with it in Python
  • Understands the fundamental and unique challenges behind productionizing algorithms learned from data.
  • Can learn and communicate how to fit their knowledge in machine learning to a complex and evolving product
  • Applied machine learning (e.g. libSVM, Shogun, Scikit-learn or similar)
  • Knowledgeable about data management concepts and have worked with one or more data processing frameworks like Apache Beam, Spark, Flink, and in a cloud environment, like GCP, AWS

  • Experience developing/deploying ML solutions in a public cloud (AWS/Azure/Google Cloud) platforms

  • Has a Bachelor’s degree or equivalent real-world experience, preferably in a related field (Engineering, Computer Science, Statistics, Applied Math)

  • Is always willing to learn and apply new techniques where appropriate

  • Distributed computing platforms, such as Hadoop (Hive, HBase, Pig), Spark, GraphLab

  • Databases (traditional and noSQL)

Preferred/Nice to have skills

  • Experience with a mass-market consumer-facing product
  • Familiarity with auto-differentiation libraries (e.g., TensorFlow, PyTorch, etc.)
  • Proficiency with the pydata stack (NumPy, scipy, pandas)
  • Familiarity with scheduling and orchestration tools (e.g., Airflow, Metaflow, etc.)

  • Familiarity with AWS services (e.g., SageMaker, S3, EC2, etc.)

Why is this professional opportunity an excellent career step for you?

  • Competitive salary and social package
  • A flexible working schedule, remote or office (BC Gulliver)
  • 20 days of paid vacation + 5 sick leaves
  • PE accounting
  • Medical insurance
  • MacBook Pro 16”
  • A healthy work-life balance
Don’t miss your chance & send your resume