
Data Modeler
5 days ago
Overview:
We are seeking a skilled professional to support the development and implementation of data models, focusing on Machine Learning, under the supervision of more experienced scientists.
Job Description:
- Assist in the design and implementation of data-driven solutions by developing Machine Learning models and algorithms.
- Perform data preprocessing, cleaning, and analysis to prepare datasets for modeling and support higher-level data science initiatives.
- Leverage experience with Deep Learning and General AI technologies to contribute to innovative projects and enhance skills.
- Cultivate continuous professional development, enhancing skills in Python, Machine Learning, and related areas through training and practical experience.
- Collaborate with team members to ensure the effective implementation of data science solutions, participating in brainstorming sessions and project discussions.
- Support the documentation of methodologies and results, ensuring transparency and reproducibility of data science processes.
Requirements:
- Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field, with a strong interest in Machine Learning, Deep Learning, and AI.
- Experience in a data science role, demonstrating practical experience and strong Python programming skills.
- Familiarity with data platforms such as Dataiku is a plus.
Key Skills:
- Solid understanding of Machine Learning principles and practical experience in Python programming.
- Familiarity with data science and machine learning libraries in Python (e.g., scikit-learn, pandas, NumPy).
- Eagerness to learn Deep Learning and General AI technologies, with a proactive approach to acquiring new knowledge and skills.
- Strong analytical and problem-solving abilities, capable of tackling data-related challenges and deriving meaningful insights.
- Basic industry domain knowledge, with a willingness to deepen expertise and apply data science principles to solve real-world problems.
- Effective communication skills, with the ability to work collaboratively in a team environment and contribute to discussions.
At our organization, we value diversity and are committed to creating an inclusive environment for all employees, regardless of race, color, religion, gender, sexual orientation, national origin, age, disability, or veteran status.
Our culture fosters collaboration, innovation, and growth, and we encourage applications from individuals of all backgrounds and experiences.
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