Company: Krusche & Company GmbH
Location: Remote (with optional hybrid from offices in Munich, Kraków, Sofia, or Baku)
Job Type: Full-time
About Krusche & Company GmbH
Krusche & Company GmbH (K&C) is a leading international software development company with a strong focus on complex IT projects for major European clients. Our team of 100+ experts works across various locations, including Munich, Kyiv, Kraków, Sofia, Baku, and Sulaimaniya. We pride ourselves on delivering high-quality consulting and direct services for clients such as Commerzbank, Nestle, Bosch, and Lufthansa. Our expertise spans websites, portals, platforms, mobile applications, and more, with a commitment to innovative solutions and a supportive work environment.
Role Overview
We are seeking an experienced Data Scientist to join our team and collaborate with Data Engineers on advanced analytics and reporting solutions. In this role, you will work closely with stakeholders, particularly within the distribution vertical, to deliver sophisticated analytics models, dashboards, and AI-driven insights. This position offers the flexibility to work remotely or in a hybrid arrangement from one of our international offices.
Key Responsibilities
- Collaborate with Data Engineers: Work with Data Engineers to leverage the data Lakehouse architecture on Databricks, optimizing data for analytics and reporting.
- Business Requirement Analysis: Engage with stakeholders to understand business needs and translate them into detailed analytics and reporting requirements.
- Advanced Analytics and Reporting: Design and build complex analytics models and visualizations. Create and maintain dashboards delivering key metrics and insights.
- Finance Analytics Expertise: Apply finance analytics knowledge to develop solutions supporting financial decision-making within the distribution sector.
- AI and Machine Learning Solutions: Develop and deploy AI models for predictive analytics and automation. Focus on AI solutions tailored to the distribution sector.
- Data Management: Handle and analyze large, complex datasets from ERP systems, ensuring data quality and integrity.
- Industry Expertise: Use your experience in the distribution vertical to create targeted analytics solutions.
- Stakeholder Communication: Communicate technical concepts to non-technical stakeholders effectively.
- Stay Current with Industry Trends: Keep up-to-date with the latest developments in data science, AI, and analytics tools.
Requirements
- Education and Experience: At least 5 years of experience in data science with a focus on analytics and reporting for ERP customers, ideally in the distribution vertical.
- Technical Expertise: Proficiency in Python, SQL, Apache Spark, Databricks, and familiarity with the Azure ecosystem (ADLS G2, ADF).
- Analytics and Reporting Skills: Strong experience in designing and building dashboards and reports using tools like Power BI or Tableau.
- Finance Analytics Knowledge: Deep understanding of finance analytics and experience creating models and reports for financial decision-making.
- AI and Machine Learning: Proven experience in developing and deploying AI and machine learning solutions.
- Complex Data Management: Experience with large datasets from ERP systems, strong data structure and quality management skills.
- Communication Skills: Excellent ability to translate complex data into actionable insights.
- Problem-Solving Skills: Strong analytical and problem-solving abilities.
- Team Collaboration: Ability to work effectively within a cross-functional team.
- Adaptability and Learning: Willingness to learn new technologies and stay abreast of industry trends.
What We Offer
- Flexible Working: Option to work remotely or in a hybrid arrangement from our international offices.
- Flexible Schedule: Tailor your work hours to fit your lifestyle.
- Health Insurance: Comprehensive coverage, conditions may vary based on location.
- Vacation and Sick Leave: Generous leave policies.
- Professional Development: Opportunities to work with cutting-edge technologies and international clients.
- Supportive Team Environment: A friendly and professional team eager to expand and develop.
- Diverse Work Culture: Be yourself in a supportive and inclusive work environment.
How to Apply
Click The Link Below
https://www.indeed.com/viewjob?jk=3a1523feee9a6370&tk=1i7vodq51k8iv80j&from=serp&vjs=3
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