Data Scientist

Summary

The job is for a Data team member at Roadsurfer, responsible for developing predictive models, data analysis, collaborating with stakeholders, and fostering a data-driven culture. The position requires a bachelor's degree in STEM-related areas, relevant experience as a data scientist, advanced proficiency in SQL, data visualization tools, programming languages, and machine learning libraries.

Requirements

• Educational Background: You have successfully completed a bachelor’s degree, preferably in engineering, physics, informatics, computer science, or other STEM-related areas
• Professional Experience: You have several years of relevant experience as a data scientist, with a strong focus on business and operational analytics
• Technical Skills: You have advanced proficiency in SQL for data extraction and manipulation
• You are skilled in using data visualization tools such as Tableau, Power BI, or similar platforms
• You have extensive experience with programming languages such as Python or R
• And are proficient in machine learning libraries (Scikit-Learn, XGBoost, Keras o Tensorflow)

Responsibilities

• Developing and Implementing Predictive Models and Algorithms
• Design and develop advanced machine learning models for forecasting demand, pricing optimization, and other key business functions
• Implement models using Python and libraries (e.g., TensorFlow, PyTorch, scikit-learn)
• Ensure model accuracy and performance through rigorous validation and testing
• Data Preparation and Analysis
• Utilize data visualization tools (e.g., Tableau, Power BI, Matplotlib) to present findings effectively
• Perform exploratory data analysis (EDA) to uncover patterns, correlations, and insights that inform business decisions
• Collaboration and Stakeholder Engagement
• Work closely with business stakeholders to understand their data needs and translate them into technical requirements
• Provide actionable insights and recommendations through clear and concise communication of complex data engineering results
• Guide stakeholders in implementing data-driven strategies and solutions
• Supporting Team Members
• Conduct peer reviews of code and data engineering approaches to ensure best practices and knowledge sharing
• Mentor junior data engineers and analysts, providing guidance on technical challenges and career development
• Fostering a Data-Driven Culture
• Develop and deliver training sessions on data engineering topics, tools, and best practices to enhance data literacy across the organization

Benefits

• FLEX WORK & WORKATION: You are flexible in terms of working hours. Our Flex Work Policy enables you to switch between office days and home office days and work from abroad in Europe for one month per year
• PERSONAL DEVELOPMENT: We support your personal and professional development through an individual Growth Plan and our Inhouse Academy
• CAMPER BUDGET: You get an annual camper budget to experience the #happyroadsurfing lifestyle for yourself
• DISCOUNTS. : Use our Corporate Benefits Platform, the Travel Industry Card and Family & Friends Discounts