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Data Scientist

b2bnetwork

Gdynia

On-site

PLN 100,000 - 130,000

Full time

2 days ago
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Job summary

A leading tech analytics company in Poland is seeking an experienced professional to enhance IT stability by leveraging advanced analytics, machine learning, and automation. The ideal candidate will develop data analytic solutions using tools like Power BI, ensuring data quality and creating actionable insights. Strong expertise in statistics, Python, T-SQL, and a relevant degree are essential. The role offers the chance to work in a dynamic environment focused on innovation and continuous improvement.

Qualifications

  • Expert in statistics and advanced analytics.
  • Strong professional experience in T-SQL and DAX.
  • Professional experience using Python for machine learning and data wrangling.
  • Minimum 2-3 years of experience in a similar role.
  • Fluency in English (C2 level at least).

Responsibilities

  • Identify, quantify, and mitigate IT issues and risks.
  • Develop and maintain data analytic solutions in Power BI.
  • Analyze and model data to create actionable insights.
  • Develop automated reporting solutions using AI.

Skills

Statistics
Python
T-SQL
Power Query
DAX
MS Power BI
GIT
Data Mining
Machine Learning Tools
Presentation Skills
ITIL Foundation
Lean-Agile

Education

Academic degree in Science, Software Engineering, Mathematics, Statistics or similar

Tools

MS Power BI
AI tools
Job description

Description: Increasing IT Stability by identifying, quantifying and mitigating IT issues and risks by using Advanced Analytics (predictive / prescriptive analytics - Machine Learning and more) to either prevent or reduce risks or providing service improvement plans into CSI. Automating the IT Ops reporting area, including Suppliers’ Performance by implementing Gen AI self-reporting solution(s) by implementation of:

  • automated root cause identification of business critical IT systems instability
  • to minimize MTRS and/or probability of reoccurring incident or probability of a change to cause an incident, building the Neural Network setting optimal values of the ML factors (reporting Deep Analysis)
  • Generative AI model(s) of fully automated, customized self-reporting solutions using AI – thousands of potential automation hours
Supported strategy theme(s)
  • IT Stability by increasing it
  • Standards & Automation by solution design (fully automated SD)
Areas to be supported
  • Incident Management, Problem Management, Change Management, Operational Service Improvement, Suppliers Performance Management/Suppliers’ Supervision, Service Areas/Domains

It'll be done within (SAFe) Insights Agile Release Train by:

  • Developing and maintaining solutions in Power BI Service / Microsoft Fabric
  • Co-creating novel ideas with our stakeholders
  • Co-building a future Insights Data Analytics service
  • Working with hypothesis to prove or reject business statements
  • Hypothesis testing and designing statistical models
  • Building advanced reports/dashboards
  • Analysing, processing and modelling data, interpret the results to create actionable insights
  • Ensuring complete collection and quality of data while adhering to best data practices
  • Working within SAFe Scrum Team with the aligned autonomy
Skills
  • expert in statistics, Python, T-SQL, Power Query, DAX, MS Power BI / MS Power Platform, GIT
  • Strong professional experience in T-SQL, DAX
  • Professional experience using Python for ML and data wrangling
  • Experience in one or more Business Intelligence tool as MS Power BI (preferred)
  • Deep knowledge of statistical techniques for descriptive and predictive analytics
  • Data mining or extracting usable data from valuable data sources
  • Using machine learning tools to select features, create and optimize classifiers
  • Excellent presentation skills
  • ITIL Foundation certified or proven work experience in IT Service Management
  • Lean-Agile trained or certified (Scrum or SAFe)
  • Academic degree in Science, Software Engineering, Mathematics, Statistics or similar
  • Proven work experience with minimum 2-3 years in similar role
  • Fluency in English (C2 level at least)
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