Senior Analyst - Data Scientist

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  5. Senior Analyst - Data Scientist
We are the METRO Global Solution Center! Our motto, "We make it count," reflects our belief that accounting is more than just numbers - its about creating impactful solutions, driving meaningful change, and always counting for more. As a proud member of the METRO/MAKRO family, a leading international wholesaler with over 93,000 employees across 30+ countries, we are committed to excellence and innovation. Our inclusive and diverse community promotes collaboration, personal development, and dedication to achieving our goals together.

Join our team and experience the spirit of "We make it count."
Senior Analyst - Data Scientist
Workplace: Szczecin, Plac Brama Portowa 1
We are seeking a skilled and motivated Data Scientist to join our team. The ideal candidate should have a strong background in advanced analytics and machine learning & statistical modeling techniques.  The Data Scientist will play a key role in extracting valuable insights from large datasets, developing predictive models, and contributing to data-driven decision making to drive organizational success and competitive advantage.
  • Conduct exploratory data analysis to uncover trends, patterns, and relationships within datasets.
  • Develop and implement machine learning algorithms and predictive models to solve business problems and generate actionable insights.
  • Develop solutions with generative AI capabilities for the relevant use cases.
  • Cleanse, preprocess, and transform raw data to ensure quality, consistency, and suitability for analysis. Handle missing data, outliers, and anomalies using appropriate techniques to maintain data integrity and reliability.
  • Create Indirect Procurement Spend cube from different system/subsystem.
  • Communicate findings through visualizations, reports, and presentations to facilitate decision-making at all levels of the organization.
  • Collaborate with business leaders to understand requirements and prioritize projects based on strategic objectives.
  • Deploy machine learning models into production environments and monitor their performance over time.
  • Implement model monitoring and validation processes to ensure ongoing accuracy and reliability.
Qualifications

Technical Skills
  • Proficiency with data mining, mathematics, and statistical analysis.
  • Advanced experience in pattern recognition and predictive modeling.
  • Hands on experience in working with LLMs.
  • Experience with Excel, PowerPoint, Tableau, SQL, and programming languages (ex: Java/Python, SAS).
  • Strong knowledge of BI tools and technologies, such as MicroStrategy, Power BI, QlikView, or similar.
  • Programming Skills – knowledge of statistical programming languages like R, Python, and database query languages like SQL, Hive, Pig is desirable. Familiarity with Scala, Java, or C++ is an added advantage.
  • Ability to work effectively in a dynamic, research-oriented group that has several concurrent projects.
  • Execute analytical experiments to help solve problems across various domains like Retail, Wholesales, Marketing & Finance.
  • Experience with Data Visualization Tools like matplotlib, ggplot, d3.js., Tableau that help to visually encode data.
  • Experience in GCP cloud services like BigQuery, Vertex ai, etc.
Functional Skills
  • Bachelor’s degree in computer science, Information Technology, Data Science, or a related field.
  • 5+ years of experience as a Data scientist or in a similar role.
  • Ability to translate business needs into technical specifications.
  • Excellent problem-solving skills and attention to detail.
  • Strong communication and interpersonal skills, with the ability to convey complex data concepts to non-technical stakeholders.
We provide
  • Stable employment in an international corporation that is constantly growing.
  • The chance to expand your knowledge and gain experience in various areas.
  • Private medical care and group insurance, also available for family members.
  • Cash benefits as part of the Social Benefits Fund, e.g., a Christmas allowance.
  • A monthly salary supplement for knowledge of an additional language.
  • Co-financed sports card.
  • Team and company integration events after hours.
  • Remote work.

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