
Senior Data Science Leader
4 days ago
The ideal candidate will possess extensive knowledge in data science, deep learning, and natural language processing (NLP), with a solid educational background in data science, mathematics, and statistics. A strong understanding of generative AI and hands-on experience in leading teams is highly desirable.
Key Responsibilities:- Lead and mentor a team of data scientists and machine learning engineers.
- Design, develop, and implement data science and machine learning solutions to solve complex business problems.
- Utilize deep learning and NLP techniques to extract insights from large datasets.
- Oversee the entire machine learning lifecycle, from data collection and preprocessing to model training, evaluation, and deployment.
- Collaborate with cross-functional teams to integrate machine learning models into production environments.
- Stay up-to-date with the latest advancements in data science, AI, and generative AI technologies.
- Ensure the scalability, reliability, and performance of machine learning models and systems.
- Develop and maintain documentation for data science processes, models, and algorithms.
- Provide technical leadership and guidance in the adoption of best practices for data science and machine learning.
- Mastery of Data Science, Mathematics, Statistics, Computer Science, or a related field.
- 8+ years of experience in data science, with a focus on deep learning and NLP.
- Proven experience in leading and managing data science teams.
- Strong proficiency in Python and experience with machine learning libraries such as TensorFlow, PyTorch, and scikit-learn.
- Hands-on experience with cloud platforms such as AWS or Azure.
- Solid understanding of statistical methods and mathematical concepts.
- Strong problem-solving skills and the ability to work in a fast-paced environment.
- Excellent communication and interpersonal skills.
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