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Data Analyst

CraftwareIkona lokalizacjiGlobalnie

Żródlo publikacji: JustJoin.it
Rodzaj zatrudnienia
Rodzaj zatrudnieniaPełny etat
Doświadczenie
DoświadczenieMid / Regular
Dodano
Dodano23 lipca 2026
Wykryte przez nas
Wykryte przez nas23 lipca 2026
Zarobki
Zarobki20 160 - 28 560 PLN

Craftware is a technology company of over 500 experts, empowering large organizations to solve complex business challenges with modern IT solutions - from sales systems and automation to data platforms and AI. We operate where technology must be reliable, secure, and scalable. We deliver end-to-end projects: from analysis and architecture through implementation to development and maintenance. We are a trusted partner of industry leaders such as Salesforce, Veeva, UiPath, and Databricks.

Model: remote

Employment type: full-time

Responsibilities:

  • Algorithm Development: Create robust algorithms to extract disease-relevant features from diverse sensor data (touchscreen, accelerometer, audio, text) collected during remote testing.

  • Psychometric Analyses: Evaluate feature reliability, group differentiation (such as disease stages), collinearity, and correlation with traditional clinical assessments.

  • Vendor Management: Validate third-party data completeness and perform comparative analyses between external and in-house remote testing datasets.

  • Scientific Communication: Present findings internally and contribute to scientific abstracts and manuscripts for global conferences.

Requirements:

  • Advanced proficiency in Python (Pandas, NumPy, SciPy, MatPlotLib) and development workflows (Jupyter notebooks, virtual environments).

  • Strong coding practices focused on robustness and reproducibility, including git, unit testing, peer code reviews, and agile methodologies.

  • Solid understanding of group comparisons, correlation analysis, and linear mixed models.
    Ability to deal with real-world data, investigate the reasons for missing or erroneous values, and connect with other teams to resolve issues.

  • Familiarity with distributed, high-performance computing environments, ETL workflows, and the Unix command line.

  • Excellent English skills and the ability to thrive within a hybrid, dynamic team environment.

  • Expertise in one or more of the following areas is a plus: time series analysis, signal processing, image processing, natural language processing.

Employment conditions:

  • B2B contract,

  • Daily support from team leaders,

  • Integration trips/events.


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