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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