Data Scientist

Bosnia and Herzegovina, Bulgaria, North Macedonia, Slovenia, Romania, Hungary, Serbia

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Capabilities

Machine Learning (ML) role description includes abilities and key strengths that a ML should possess:

  • Demonstrates proficiency in designing and delivering robust and scalable distributed systems in production.
  • Proficient with building a model, dataset selection, featurization, loss function selection, hyperparameter optimization.
  • Worked on solution delivery to customers.
  • Worked with geospatial data. 
  • Creates pragmatic technical documentation with well-understood diagrams.
  • Demonstrates good social skills (soft skills), English proficiency, and ability to explain technical points using business language and presentations.

Nice to have

  • Proficient with at least one of the ML libraries - TensorFlow, PyTorch, Keras, etc.
  • Strives for constant improvements in solution design. 
  • Keeps track of new technology trends.
  • Understands physical modelling of the real-world objects. 


Responsibilities

  • Analyzing the ML algorithms that could be used to solve a given problem and ranking them by their success probability
  • Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world
  • Verifying data quality, and/or ensuring it via data cleaning
  • Supervising the data acquisition process if more data is needed
  • Finding available datasets online that could be used for training
  • Analyzing the errors of the model and designing strategies to overcome them
  • Creates high-level design and dives into low-level implementation details when appropriate.
  • Drives technical quality of a solution and manages technical debt.
  • Ensures that the solution is well documented with an appropriate architecture decision log.
  • Drives technical investigation (Spike) and prototyping (PoC), taking a hands-on approach for the most critical parts.
  • Provides guidance and assistance through communication and collaboration with engineering teams, product teams, and stakeholders in all project phases.

Tags: Distributed Systems Engineering Keras Machine Learning Prototyping PyTorch TensorFlow

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Category: Data Science Jobs

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