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Senior Data Scientist (m/f/d)
Responder al anuncioThe 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.
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 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).
- Analytical and Decision-Making Abilities:
- You are adept at making data-driven decisions and guiding stakeholders to achieve optimal strategies based on actionable insights.
- You possess strong problem-solving skills and the ability to translate complex data engineering challenges into clear, actionable solutions.
- Communication Skills:
- You are business fluent in English, both written and verbal.
- You can effectively communicate technical concepts to non-technical stakeholders and collaborate with diverse teams.
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