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Lead Data Scientist

4 months ago

india Multplyr Full time

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.

(ref:hirist.tech)