Leading Data Science Initiatives

7 days ago

Mumbai, Maharashtra, India beBeeDataScientist Full time US$ 1,50,000 - US$ 2,50,000
Lead Data Scientist
A top-performing Data Scientist Leader is required to spearhead our data science initiatives in Mumbai. The ideal candidate will have a proven track record of leading high-performing teams, developing strategic plans, and driving business growth through innovative data-driven solutions.

The successful candidate will lead and develop a team of data scientists, overseeing their professional growth and development. They will also be responsible for developing and implementing strategic plans for data science projects, ensuring alignment with the company's goals and objectives.

Key Responsibilities
  • Team Leadership: Lead and mentor a team of data scientists, fostering their professional growth and development.
  • Strategic Planning: Develop and implement strategic plans for data science projects, ensuring alignment with the company's goals and objectives.
  • Ai-Ready Data Development: Design, develop, and maintain high-quality Ai-ready datasets, ensuring data integrity, usability, and scalability to support advanced Generative Ai models.
  • Advanced Data Processing: Drive hands-on efforts in complex data extraction, cleansing, and curation for diverse text and numerical datasets.
  • Algorithm Implementation & Optimization: Implement and optimize state-of-the-art algorithms and pipelines for efficient data processing, feature engineering, and data transformation tailored for Llm and Genai applications.
  • Genai Application Development: Apply and integrate frameworks like LangChain and Hugging Face Transformers to build modular, scalable, and robust Generative Ai data pipelines and applications.
  • Prompt Engineering Application: Apply advanced prompt engineering techniques to optimize Llm performance for specific data extraction, summarization, and generation tasks.
  • LLM Evaluation Support: Contribute to the systematic evaluation of Large Language Models (Llms) outputs, analyzing quality, relevance, and accuracy.
  • RAG Contribution: Actively contribute to the implementation and optimization of Rag systems, including working with embedding models, vector databases, and knowledge graphs.
Requirements
  • Leadership Experience: Proven track record in leading and mentoring data science teams, with a focus on strategic planning and operational excellence.
  • Academic Background: Advanced degree in Ai, statistics, mathematics, computer science, or a related field.
  • Programming and Frameworks: 5+ years of hands-on experience with Python, TensorFlow or PyTorch, and NLP libraries such as spaCy and Hugging Face.
  • Genai Tools: 2+ years of practical experience with LangChain, Hugging Face Transformers, and embedding models for building Genai applications.
  • Prompt Engineering: Deep expertise in prompt engineering, including prompt tuning, chaining, and optimization techniques.
  • LLM Evaluation: Experience evaluating Llm outputs, including using Llm-as-a-judge methodologies to assess quality and alignment.
  • RAG and Knowledge Graphs: Practical understanding and experience using vector databases and graph-based Rag architectures.
  • Cloud: 2+ years of experience with cloud platforms such as AWS, Google Cloud, or Azure, proficient with Docker for containerization.
  • Data Engineering: Strong understanding of data extraction, curation, metadata enrichment, and Ai-ready dataset creation.
  • Collaboration and Communication: Excellent communication skills and a collaborative mindset, with experience working across global teams.
What We Offer
  • Competitive Salary
  • Flexible Working Policy
  • Group Healthcare Scheme
  • Annual Leave
  • Casual Leave
  • Internal and External Training

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