Lead Data Scientist
3 weeks ago
Key Responsibilities :
Leadership & Strategy :
- Lead the data science team in the research and development of innovative ML, NLP, LLM, and DL solutions.
- Develop and execute a strategic roadmap for AI initiatives in alignment with business goals.
- Mentor and guide junior data scientists and engineers, fostering a culture of continuous learning and innovation.
Research & Development :
- Conduct cutting-edge research in machine learning, NLP, LLM, and deep learning.
- Stay updated with the latest advancements in AI and data science, and apply this knowledge to solve complex problems.
- Publish research papers and represent the company at industry conferences and events.
Implementation & Optimization :
- Design, develop, and deploy scalable ML and DL models to production.
- Collaborate with cross-functional teams to integrate AI solutions into products and services.
- Continuously monitor and improve the performance of AI models, ensuring they meet business requirements and user needs.
Data Management :
- Oversee the collection, preprocessing, and analysis of large datasets.
- Ensure data quality and integrity across all AI projects.
- Implement best practices for data security and privacy.
Collaboration & Communication :
- Work closely with product managers, software engineers, and other stakeholders to understand business requirements and translate them into technical solutions.
- Communicate complex technical concepts to non-technical stakeholders in a clear and concise manner.
Qualifications :
Education :
- Master's degree in Computer Science, Data Science, Statistics, Applied Mathematics, or a related field.
Experience :
- 7+ years of experience in data science, with a focus on machine learning, NLP, LLM, and deep learning.
- Proven track record of leading successful AI projects from research to implementation.
- Experience in managing and mentoring a team of data scientists and engineers.
Technical Skills :
- Proficiency in programming languages such as Python, R, and SQL.
- Extensive experience with ML/DL frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
- Strong understanding of NLP techniques and tools (e.g., transformers, BERT, GPT).
- Experience with large language models and their applications.
Soft Skills :
- Excellent problem-solving and analytical skills.
- Strong communication and interpersonal skills.
- Ability to work in a fast-paced, dynamic environment.
Preferred Qualifications :
- Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) and big data technologies (e.g., Hadoop, Spark).
- Familiarity with MLOps practices and tools.
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