Data Scientist

Job Description

Data Solutions GmbH is looking for a Data Scientist who thrives in a dynamic environment. As part of our analytics team, you will utilize your expertise in machine learning and statistical modeling to deliver innovative solutions and improve our data-driven initiatives.

Responsibilities

• Create data collection systems for data analytics and metrics.
• Employ machine learning techniques to enhance model accuracy.
• Collaborate with IT and other departments to ensure optimal data flow.
• Perform exploratory data analysis to guide the development of new products and services.
• Document processes and methodologies for analysis and reporting.
• Engage in continuous learning and stay updated with industry trends.
• Mentor junior data staff, providing guidance on best practices.

Requirements

Education

• Bachelor's degree in Statistics, Mathematics, or related field
• Master's degree in Data Science is preferred

Experience

• 3+ years of experience in analytics or related field

Technical Skills

• Python
• SQL

Soft Skills

• Adaptability
• Project Management

Certifications

• Data Analysis Professional Certificate
• AWS Certified Data Analytics

Languages

• English: Fluent

Advantageous

• Familiarity with Tableau or Power BI: Experience with data visualization tools to communicate insights effectively.
• Contributions to open-source data science projects: Experience in contributing to data science initiatives in the open-source community.

Benefits

• Comprehensive benefits package including medical and dental
• Employee wellness programs and fitness reimbursement
• Generous leave policies and work-from-home options
• Continuous learning and professional growth opportunities

Company Culture

• Continuous Learning: We invest in the continuous learning and development of our employees to help them succeed.
• Accountability: We promote accountability, ensuring that everyone understands their contributions to our success.
• Employee Well-Being: We prioritize the well-being of our employees with wellness programs and work-life balance initiatives.