Signal Processing & Data Analysis Specialist
S
SiiData Science
Białystok, Wrocław, Kraków, Gdańsk, Katowice, Łódź, Lublin, Poznań, Rzeszów, Warszawa, Bydgoszcz, Piła, Szczecin, ToruńContractSenior
Salary5008 - 5463 CHF per day b2b currencySource=conversion; 5331 - 5816 EUR per day b2b currencySource=conversion; 4565 - 4980 GBP per day b2b currencySource=conversion; 6181 - 6743 USD per day b2b currencySource=conversion; 23100 - 25200 PLN per day b2b currencySource=original
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Job Details
- Languages
- Advanced level of English
- Experience
- Minimum 5 years
- Required Skills
- PythonNumpyPandas
Requirements
- Minimum 5 years of experience with algorithm or software validation, developing data comparison or reconciliation workflows using large tabular or CSV datasets.
- PhD in Electrical Engineering, Applied Mathematics, Physics, Data Science, or a related quantitative field.
- Solid understanding of digital signal processing and time-series analysis.
- Proficiency in Python, including familiarity with libraries like SciPy, NumPy, or pandas.
- Ability to communicate complex technical concepts to stakeholders outside your specialty.
- Advanced level of English and residency in Poland.
Responsibilities
- Provide technical guidance on signal processing to migration, engineering, and clinical teams, ensuring a shared understanding of algorithm behavior and expected output characteristics.
- Analyze datasets to identify deviations, edge cases, and anomalies, applying appropriate statistical methods to assess the significance of discrepancies.
- Deconstruct the logic of existing signal processing algorithms and produce clear, well-structured documentation to support validation efforts and enable knowledge transfer across teams.
- Contribute to the design of validation frameworks and test cases, including defining tolerance thresholds and acceptance criteria for comparing algorithm outputs across environments.
- Develop and execute CSV-based comparison workflows to verify the consistency of algorithmic output, identifying and quantifying discrepancies.
- Collaborate with data migration specialists and engineers to resolve data-integrity issues, ensuring all deviations are properly quantified, documented, and traceable.
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