Data Analyst Data Scientist
3 tygodni temu
Responsibilities:
Create and maintain analytical workflows and data processes handling time-series and structured data.
Monitor and improve data quality, accuracy, and completeness across multiple sources.
Support data modeling, feature preparation, and result validation for analytical and predictive use cases.
Write efficient Python and R scripts for data transformation, automation, and integrations with external APIs.
Collaborate with product, research, and engineering teams to design KPIs and analysis frameworks.
Contribute to improving the analytics environment using DBT, Metabase, AWS Glue, or Spark.
✅ Requirements:
4+ years of experience in data analysis or applied data science.
Strong programming skills in R and Python for data processing, modeling, and automation.
Solid understanding of time-series structures, streaming data, and complex datasets.
Experience working with APIs and integrating data from multiple systems.
Familiarity with machine learning workflows and model validation.
Exposure to AWS Glue, DBT, Spark, Metabase, DataDog, Great Expectations, Postgres, or TimescaleDB.
Nice to have:
Experience in regulated or data-sensitive industries (healthcare, aviation, transportation).
Collaboration with research or scientific teams on measurement frameworks.
Basic familiarity with a typed language like Go.
We offer:
Fully remote work with flexible schedule.
Attractive B2B rate: 19 000 – 30 000 PLN/month.
Private healthcare and Multisport.
Learning budget to grow your analytical and technical skills.
Real impact: your work directly improves decision-making, performance and safety outcomes.
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