Senior Data Scientist

E
EPAM SystemsData science
Opportunity to work remotely within PolandFull-TimeSenior
Salary not disclosed
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Job Details

Languages
English B2
Experience
3+ years of relevant experience working with a variety of information systems and data
Required Skills
PythonMachine LearningData visualizationNLPComputer Vision

Requirements

  • Have 3+ years of relevant experience working with a variety of information systems and data.
  • Write high-quality Python code according to PEP-8 guidelines.
  • Know data exploration and analysis techniques, and be able to build models or analytical frameworks, develop hypotheses, and design experiments.
  • Have advanced knowledge in at least one of Computer Vision, Time Series, Natural Language Processing, Recommendation Systems, or Predictive Analytics.
  • Know exploratory data analysis, classical and advanced machine learning models, performance metrics, losses, and model fine-tuning.
  • Understand the pros and cons of state-of-the-art machine learning architectures and their use cases.
  • Understand machine learning project lifecycles and data science methodologies such as CRISP-DM, TDSP, or LeanDS.
  • Be able to design and supervise data-labeling processes.
  • Be able to interpret and report analysis results, provide business recommendations, and coach or train others.

Responsibilities

  • Identify business problems and select suitable data and methods to address them.
  • Process large volumes of structured and unstructured customer data using analytical solutions.
  • Create data visualizations and feature-engineering pipelines, including missing-value treatment and outlier detection.
  • Research, build, and validate analytical, mathematical, econometric, descriptive, and predictive models.
  • Estimate, plan, and coordinate delivery of moderate- and large-sized projects.
  • Evaluate and select suitable Data Science tools and libraries.
  • Present analysis findings clearly and discuss technical matters with stakeholders, product managers, and engineers.
  • Contribute to team knowledge sharing and brainstorming.
  • Educate and coach junior and middle Data Scientists.
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