
Senior Data Science Professional
2 days ago
We are seeking a highly skilled professional to lead our data science efforts.
- The ideal candidate will bring a strong background in developing and deploying machine learning models, extracting actionable insights from complex datasets, and building scalable, data-driven solutions.
The successful candidate will be responsible for designing and implementing data-driven solutions, including real-time and batch processing systems.
Main Responsibilities:- 1. Develop and deploy machine learning models using Python, PyTorch, scikit-learn, and other relevant libraries.
- 2. Extract insights from complex data and communicate findings to stakeholders.
- 3. Design and implement data pipelines that drive business growth.
- 4. Collaborate with engineers to build scalable and efficient data systems.
- 5. Develop and maintain RESTful APIs to serve machine learning models.
- 6. Work with databases, including data modeling, schema design, and query optimization.
- 7. Stay up-to-date with industry trends and advancements in AI/ML.
Key Skills:
- Strong proficiency in Python and relevant libraries, including PyTorch, scikit-learn, and pandas.
- Experience with machine learning model development, deployment, and maintenance.
- Strong understanding of data structures, algorithms, and software design patterns.
- Experience with databases, including relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra).
- Experience with cloud-based platforms such as AWS.
Bonus Points:
- Familiarity with Docker and containerization.
- Knowledge of DevOps principles and practices.
- Achieving high-quality results while working independently and collaboratively within cross-functional teams.
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