Senior Data Scientist (m/f/d)
RoadsurferAbout the role
Why roadsurfer?
TEAM SPIRIT & TEAM EVENTS: Look forward to a collegial atmosphere with flat hierarchies, lots of fun and great team spirit, as well as regular team events such as joint sports sessions, pizza & beer evenings, etc.
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
Our Data team
Our strategic leader, who is responsible for aligning the company's strategies with our team's priorities through her knowledge and vision of the business.
The technical data leader, responsible for sizing the team, defining work dynamics to improve deliveries, looking after the career development of team members and defining data project roadmaps.
Data engineers, who help us integrate any new source into our Data Lake and structure our Data Warehouse.
Analytics engineers, who master our PowerBI dashboards, grow our Data Warehouse with data quality, applying all the business logic to our raw data.
Web Data Analysts, who focus on front-end analysis and empower marketing and product teams with data, creating the entire structure that allows us to track and understand user behaviour.
Data analysts, responsible for transforming the company's data and metrics into valuable insights and business knowledge to improve performance and drive strategic actions and decisions.
The role - your passion
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.
Promote the use of modern data engineering tools and methodologies in decision-making processes through workshops, seminars, and other educational activities.lf-sufficient in getting the answer to their business questions by themselves
What you need to surf the wave with us
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.
You have a proven track record of developing and deploying predictive models and algorithms in a business context.
Technical Skills:
You have advanced proficiency in SQL for data extraction and manipulation.
You are skilled in using data visualization too
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