Data Analyst/Data Scientist

Craftware Sp. z o.o.; Warszawa; On-site; PLN 120,000 - 180,000; Full time

Benefits offered by this job

B2B Contract

Wide spectrum of projects (internal &

Annual performance reviews

Job summary

Craftware Sp. z o.o. in Warszawa seeks a skilled data scientist/scientific programmer to develop robust algorithms that extract disease-relevant features from diverse sensor data collected during remote testing.

You will evaluate feature reliability, assess group differences, and collaborate with external vendors on data quality. The candidate will contribute to scientific abstracts and manuscripts, present results internally, and work within a hybrid team environment leveraging Python, HPC

Qualifications

• 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. Able to handle real-world data, missing or erroneous values, and coordinate with other teams.
• 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 time series analysis, signal processing, image processing, and natural language processing is a plus.

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.

Tools

Python

Pandas

NumPy

SciPy

MatPlotLib

Jupyter notebooks

Virtual environments

Git

Unix command line

ETL workflows

Job description

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.

Qualifications

• 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.

We Offer

• B2B Contract
• Wide spectrum of projects (internal and international projects)
• Annual performance reviews to help define your individual development path