#LI-hybrid

Your Role and Responsibilities
Data Science Projects

• Collaborate with cross-functional teams to design, develop, and deploy data-driven solutions
• Work on data analysis, machine learning, and AI projects to drive business outcomes
• Develop and deploy models using various machine learning algorithms and techniques
• Interpret results, provide insights, and communicate findings to stakeholders

Data Analysis and Visualization

• Collect, process, and analyze large datasets
• Develop data visualizations to communicate insights and findings
• Use statistical and data analysis techniques to identify trends and patterns

Collaboration and Communication

• Work closely with data engineers, software developers, and product managers to integrate data science solutions
• Communicate complex technical concepts to non-technical stakeholders
• Collaborate with team members to share knowledge, best practices and ideas

Required Technical and Professional Expertise
Education

• Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Engineering, or a related field

Skills

• Strong programming skills in Python, R, or SQL
• Experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch
• Familiarity with data analysis and visualization tools such as Tableau, Power BI, or D3.js
• Strong problem-solving and analytical skills
• Excellent communication and collaboration skills
• Professional level English, additional languages such as German nice to have

Experience

• Previous experience in data science, machine learning, or a related field is a plus
• Experience with cloud-based platforms such as IBM Cloud, AWS, or GCP is a plus

Preferred Technical and Professional Expertise
n/a