Junior Data Scientist

Junior Data Scientist

Job Description:

Are you seeking a sustainable, crisis-proof, and future-oriented company? Join us as we make significant contributions to shifting transportation onto rail. With our fleet covering over eighty-five million kilometers annually, we are a leading rail vehicle lessor with comprehensive full-service expertise. Established in Munich in two thousand eight, we now operate in six European countries and have a presence in eighteen countries with approximately four hundred ninety-three sustainable electric locomotives and one hundred forty-eight passenger vehicles, representing a total investment of two billion euros. We are committed to growth and sustainability, and we invite you to be part of our journey as we aim for a Race-to-Zero. We are looking for a full-time Junior Data Scientist to start immediately. You will analyze datasets to identify trends, patterns, and correlations, perform exploratory data analyses to test hypotheses and address potential business questions, and develop and implement statistical models and machine learning algorithms to solve business challenges and enhance processes. Additionally, you will optimize existing models and algorithms to improve efficiency and accuracy, extract, cleanse, transform, and integrate data from various sources to create a reliable foundation for analysis and modeling. You will utilize ETL processes for data preparation and create meaningful data visualizations and dashboards to present analysis results and support data-driven decision-making. Your role will also involve presenting complex analytical findings clearly to stakeholders and collaborating with various departments to understand their data needs and develop data-driven solutions. Furthermore, you will support the development of data-driven strategies and processes.

IT Languages:

• Python
• R
• SQL

As a Junior Data Scientist, you will tackle a variety of tasks focused on analyzing and interpreting complex datasets to drive strategic decision-making.:

Analyze datasets to identify trends and correlations;; Conduct exploratory data analyses to validate hypotheses;; Develop and implement statistical models and machine learning algorithms;; Optimize existing models for efficiency and accuracy;; Extract, cleanse, and integrate data from multiple sources;; Utilize ETL processes for effective data preparation;; Create data visualizations and dashboards;; Present findings to stakeholders;; Collaborate with departments to understand data needs;; Support the development of data-driven strategies

Spoken Languages:

• English;; German

Skillset:

• Data analysis
• Machine learning
• Statistical modeling
• Data visualization
• ETL processes
• Big Data technologies
• Cloud platforms

Soft Skills:

• Analytical thinking
• Effective communication
• Team collaboration
• Creative problem-solving

Qualifications:

• Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, Data Science, Engineering, or a related field
• Initial professional experience in data analysis, modeling, machine learning, and application of data science methods

Years of Experience:

2

Location:

Germany

Job Benefits:

• Work-life balance with thirty vacation days plus Christmas and New Year's Eve
• Mobility allowance for public transportation or a job bike
• Professional development opportunities
• Weekly fresh fruit delivery and coffee
• Focus on sustainability and diversity initiatives
• Health promotion programs and ergonomic office furniture
• Open and inclusive company culture
• Regular team events to celebrate successes
• Company pension plan
• Group accident insurance
• Corporate benefits with discounts

Working Conditions:

Full Time

Employment Type:

Permanent Contract

Company Culture:

• Our company values an open, international, and inclusive culture with flat hierarchies. We prioritize sustainability and diversity in our workplace.

Opportunities For Advancement:

• Skill development through training programs, Career growth within a sustainable and expanding company

Visa Sponsorship:

Available