Senior Analyst – Data Scientist

<h3>Company Description</h3><p>We are the METRO Global Solution Center! Our motto, "We make it count," reflects our belief that accounting is more than just numbers - it's 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.<br/> <br/> Join our team and experience the spirit of "We make it count."</p><h3>Job Description</h3><p>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 &amp; 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.</p><ul><li>Conduct exploratory data analysis to uncover trends, patterns, and relationships within datasets</li><li>Develop and implement machine learning algorithms and predictive models to solve business problems and generate actionable insights</li><li>Develop solutions with generative AI capabilities for the relevant use cases</li><li>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</li><li>Create Indirect Procurement Spend cube from different system/subsystem</li><li>Communicate findings through visualizations, reports, and presentations to facilitate decision-making at all levels of the organization</li><li>Collaborate with business leaders to understand requirements and prioritize projects based on strategic objectives</li><li>Deploy machine learning models into production environments and monitor their performance over time</li><li>Implement model monitoring and validation processes to ensure ongoing accuracy and reliability</li></ul><h3>Qualifications</h3><p>Technical Skills</p><ul><li>Proficiency with data mining, mathematics, and statistical analysis</li><li>Advanced experience in pattern recognition and predictive modeling</li><li>Hands on experience in working with LLMs</li><li>Experience with Excel, PowerPoint, Tableau, SQL, and programming languages (ex: Java/Python, SAS)</li><li>Strong knowledge of BI tools and technologies, such as MicroStrategy, Power BI, QlikView, or similar</li><li>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</li><li>Ability to work effectively in a dynamic, research-oriented group that has several concurrent projects</li><li>Execute analytical experiments to help solve problems across various domains like Retail, Wholesales, Marketing &amp; Finance</li><li>Experience with Data Visualization Tools like matplotlib, ggplot, d3.js., Tableau that help to visually encode data</li><li>Experience in GCP cloud services like BigQuery, Vertex ai, etc</li></ul><p>Functional Skills</p><ul><li>Bachelor’s degree in computer science, Information Technology, Data Science, or a related field</li><li>5+ years of experience as a Data scientist or in a similar role</li><li>Ability to translate business needs into technical specifications</li><li>Excellent problem-solving skills and attention to detail</li><li>Strong communication and interpersonal skills, with the ability to convey complex data concepts to non-technical stakeholders</li></ul><h3>Additional Information</h3><p>We provide</p><ul><li>Stable employment in an international corporation that is constantly growing</li><li>The chance to expand your knowledge and gain experience in various areas</li><li>Private medical care and group insurance, also available for family members</li><li>Cash benefits as part of the Social Benefits Fund, e.g., a Christmas allowance</li><li>A monthly salary supplement for knowledge of an additional language</li><li>Co-financed sports card</li><li>Team and company integration events after hours</li><li>Remote work</li></ul>