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Data Scientist @ emagine Sp. Z o.o.
  • Gdynia
Data Scientist @ emagine Sp. Z o.o.
Gdynia, Gdynia, Pomeranian Voivodeship, Polska
emagine Sp. Z o.o.
26. 12. 2024
Informacje o stanowisku

Location: Gdynia or Warsaw (Hybrid Model)
Rate: up to 180 pln net/h

Industry: banking

Contract: B2B

Job Description:
We are seeking a Data Scientist to drive IT Stability improvements within IPC processes and business solutions. The role involves identifying, analyzing, and mitigating IT issues and risks using advanced analytics and cutting-edge AI technologies. The ultimate goal is to enhance IT operations through automation, advanced data insights, and integration of GenAI solutions.


Qualifications:

  • Strong expertise in T-SQL, DAX, and Python for ML and data wrangling.
  • Proficiency in MS Power BI or equivalent BI tools.
  • Deep knowledge of statistical techniques and machine learning tools for feature selection and classifier optimization.
  • Experience in data mining and transforming raw data into actionable insights.
  • Certification or proven experience in ITIL Foundation and IT Service Management.
  • Agile experience (Scrum/SAFe), with a Lean-Agile mindset.
  • Academic degree in Science, Software Engineering, Mathematics, or a related field.
  • Minimum 2-3 years in a similar role.
  • Fluent English (C1 level).

Location: Gdynia or Warsaw (Hybrid Model)
Rate: up to 180 pln net/h

Industry: banking

Contract: B2B

Job Description:
We are seeking a Data Scientist to drive IT Stability improvements within IPC processes and business solutions. The role involves identifying, analyzing, and mitigating IT issues and risks using advanced analytics and cutting-edge AI technologies. The ultimate goal is to enhance IT operations through automation, advanced data insights, and integration of GenAI solutions.

,[Enhancing IT Stability: Analyze IT risks to prevent reoccurring incidents, automate change risk assessments, and design service improvement plans., Advanced Analytics Solutions: Develop and maintain Power BI and Microsoft Fabric solutions for actionable insights and strategy alignment., Innovation and AI Implementation: Collaborate on AI-driven initiatives, including GenAI implementations for complex data analysis and foundational models for future strategies., Hypothesis Testing and Statistical Modeling: Build advanced dashboards, analyze data, and apply statistical techniques for predictive and descriptive insights., Agile Collaboration: Work within a SAFe Scrum Team to co-build a cutting-edge Data Analytics service. Requirements: T-SQL, DAX, Python, BI, Machine Learning, ITIL, SAFe, Degree

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