Senior Data Scientist

As a Senior Data Scientist at Tiger Analytics, you will be specializing in Generative AI and Large Language Models (LLMs) to design, fine-tune, and deploy solutions for enterprise use cases. Your typical day will involve the following key responsibilities: - Design and implement LLM-based solutions such as text summarization, Q&A, content generation, and code generation. - Build and optimize Text to SQL pipelines for natural language querying of structured data. - Utilize LLMs for time series forecasting, specifically Time GPT. - Fine-tune and optimize pre-trained foundation models like OpenAI, Hugging Face, Llama on domain-specific datasets. - Develop RAG (Retrieval-Augmented Generation) pipelines using vector databases. - Create Lang Chain- or LangGraph-style orchestration workflows with multi-agent setups. - Collaborate with MLOps/Engineering teams for scalable deployment and monitoring of GenAI solutions. - Identify new AI-driven automation and augmentation opportunities in collaboration with business stakeholders. - Stay updated on industry trends in GenAI methodologies and tools, proposing and implementing innovative solutions for improvement. Qualifications required for this role include: - 7 years of hands-on experience in Data Science/ML with expertise in designing, fine-tuning, and deploying GenAI solutions. - A bachelor's or master's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or a related discipline. Technical Skills: - Proficiency in Python, PySpark, and SQL. - Experience with transformer models, vector DBs, and semantic search. - Familiarity with prompt engineering, fine-tuning, and evaluation techniques. - Good understanding of MLOps practices like MLflow, Docker, CI/CD pipelines. - Experience with Azure cloud platform & Data Bricks. Soft Skills: - Excellent problem-solving and analytical skills. - Strong communication and storytelling abilities. - Ability to work independently and collaboratively in a fast-paced environment. - Proactive and adaptable mindset with a continuous learning approach. The company, Tiger Analytics, is a global leader in AI and analytics, empowering businesses to achieve real outcomes and value at scale. With a team of 4000 technologists and consultants across various locations, Tiger Analytics is recognized as a Great Place to Work-Certified and has been ranked among the Best and Fastest Growing analytics firms. Additionally, the company offers health insurance, a virtual wellness platform, and knowledge communities as additional benefits. As a Senior Data Scientist at Tiger Analytics, you will be specializing in Generative AI and Large Language Models (LLMs) to design, fine-tune, and deploy solutions for enterprise use cases. Your typical day will involve the following key responsibilities: - Design and implement LLM-based solutions such as text summarization, Q&A, content generation, and code generation. - Build and optimize Text to SQL pipelines for natural language querying of structured data. - Utilize LLMs for time series forecasting, specifically Time GPT. - Fine-tune and optimize pre-trained foundation models like OpenAI, Hugging Face, Llama on domain-specific datasets. - Develop RAG (Retrieval-Augmented Generation) pipelines using vector databases. - Create Lang Chain- or LangGraph-style orchestration workflows with multi-agent setups. - Collaborate with MLOps/Engineering teams for scalable deployment and monitoring of GenAI solutions. - Identify new AI-driven automation and augmentation opportunities in collaboration with business stakeholders. - Stay updated on industry trends in GenAI methodologies and tools, proposing and implementing innovative solutions for improvement. Qualifications required for this role include: - 7 years of hands-on experience in Data Science/ML with expertise in designing, fine-tuning, and deploying GenAI solutions. - A bachelor's or master's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or a related discipline. Technical Skills: - Proficiency in Python, PySpark, and SQL. - Experience with transformer models, vector DBs, and semantic search. - Familiarity with prompt engineering, fine-tuning, and evaluation techniques. - Good understanding of MLOps practices like MLflow, Docker, CI/CD pipelines. - Experience with Azure cloud platform & Data Bricks. Soft Skills: - Excellent problem-solving and analytical skills. - Strong communication and storytelling abilities. - Ability to work independently and collaboratively in a fast-paced environment. - Proactive and adaptable mindset with a continuous learning approach. The company, Tiger Analytics, is a global leader in AI and analytics, empowering businesses to achieve real outcomes and value at scale. With a team of 4000 technologists and consultants across various locations, Tiger Analytics is recognized as a Great Place to Work-Certified and has been ranked among the Best and Fas