Signal Processing & Data Analysis Specialist

We are looking for a Signal Processing & Data Analysis Specialist to join our Data Science team. In this role, you will provide technical guidance to migration, engineering, and clinical teams, ensuring a shared understanding of algorithm behavior and expected output characteristics. If you are passionate about applying your expertise in data science to validate algorithms and support system transitions, this opportunity may be the right fit for you.
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 Nice-to-have requirements: Familiarity with database migrations or platform equivalency testing Experience with high-frequency sensor data
Must have: Python, pandas, NumPy, System Validation, CSV (Computerized System Validation)
Nice to have: Database Migrations, sensor data
Daily tasks: - Providing technical guidance on signal processing to migration, engineering, and clinical teams, ensuring a shared understanding of algorithm behavior and expected output characteristics
– Analyzing datasets to identify deviations, edge cases, and anomalies, applying appropriate statistical methods to assess the significance of discrepancies
– Deconstructing the logic of existing signal processing algorithms and producing clear, well-structured documentation to support validation efforts and enable knowledge transfer across teams
– Contributing to the design of validation frameworks and test cases, including defining tolerance thresholds and acceptance criteria for comparing algorithm outputs across environments
– Developing and executing CSV-based comparison workflows to verify the consistency of algorithmic output, identifying and quantifying discrepancies
– Collaborating with data migration specialists and engineers to resolve data-integrity issues, ensuring all deviations are properly quantified, documented, and traceable