- 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.
- 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.
- 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.
- 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.
Poznaj
METRO Global Solution Center sp. z o.o.
Jesteśmy METRO Global Solution Center! Nasze motto „We make it count” pokazuje, że księgowość to nie tylko liczby – chodzi o tworzenie wartościowych rozwiązań, wprowadzanie pozytywnych zmian i przekonanie, że zawsze liczy się coś więcej! Jako dumny członek rodziny METRO/MAKRO, wiodącego międzynarodowego hurtownika z ponad 93 tysiącami pracowników w ponad 30 krajach, stawiamy na doskonałość i innowacje. Nasza otwarta i różnorodna społeczność sprzyja współpracy, rozwojowi osobistemu i wspólnemu osiąganiu celów.
Dołącz do naszego zespołu i poczuj ducha „We make it count”.
Dlaczego my?
We make it count! Jako pracodawca dążymy do stworzenia spójnego, międzynarodowego i nowoczesnego środowiska, w którym ludzie mają wpływ na rozwój własny i rozwój firmy. Wspólnie dążymy do perfekcji. Ciągle się doskonalimy, bo aspirujemy do bycia po prostu najlepszymi w tym, co robimy. Stale rośniemy, a co za tym idzie rozwijamy naszą pozycję i serdecznie zapraszamy do udziału w tym doświadczeniu.
Zachęcamy do skorzystania z naszych ekscytujących możliwości rozwoju i podnoszenia kwalifikacji oraz otwartej kultury pracy, międzynarodowego nastawienia, nieformalnej atmosfery i pięknego biura w urokliwym Szczecinie!
