Senior Data Science Engineer
6 days ago
We are seeking a highly skilled and motivated Senior Data Science Engineer to join our team at Boneffice Systems. This role combines the core responsibilities of both a Python Developer and a Data Scientist, making it ideal for someone with a strong background in both software development and data science.
Job Description:The successful candidate will be responsible for designing, developing, and deploying machine learning models and data processing pipelines that drive significant innovations in the energy sector. This role requires advanced Python programming skills, expertise in machine learning frameworks, and a deep understanding of data handling and analysis techniques.
Key Responsibilities Include:
- Designing and implementing sophisticated algorithms and data processing pipelines using Python and libraries such as scikit-learn, Keras, and PyTorch.
- Leading data analysis, wrangling, and preprocessing activities to prepare high-quality datasets for machine learning and deep learning models.
- Collaborating with cross-functional teams to define software specifications, gather requirements, and develop innovative solutions that meet business needs.
- Communicating insights and results effectively to both technical and non-technical audiences.
- Advanced degree in Computer Science, Data Science, or related field.
- 8+ years of professional experience in Python development and machine learning.
- Expertise in using Python and data science libraries such as scikit-learn, Keras, and PyTorch.
- Strong experience in data analysis, wrangling, and preprocessing techniques.
- Solid understanding of software engineering principles and version control using git.
- Ability to create dashboards for data visualization (Dash or Flask).
- Excellent problem-solving skills and the ability to work on complex issues requiring in-depth evaluation of variable factors.
- Proficiency in English (B2+/C1 level) with strong verbal and written communication skills.
- A competitive salary of $120,000 per year.
- A dynamic and supportive work environment with a focus on personal and professional growth.
- The opportunity to work remotely with a flexible schedule.
- Access to the latest tools, technologies, and training to help you succeed.
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