Senior Data Scientist

Job Description

As a Senior Data Scientist at Tiger Analytics, you will be specializing in Generative AI and Large Language Models (LLMs) to design and deploy innovative solutions for enterprise use cases. Your typical day will involve working on a range of tasks including text summarization, Q&A, content generation, code generation, and more. Here are the key responsibilities for this role:- Design and implement LLM-based solutions for various applications- Build and optimize Text to SQL pipelines for natural language querying of structured data- Utilize LLMs for time series forecasting and fine-tune pre-trained foundation models on domain-specific datasets- Develop RAG (Retrieval-Augmented Generation) pipelines and orchestration workflows- 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 and advancements in GenAI methodologies and tools for continuous improvementQualifications:- 7 years of hands-on experience in Data Science/ML with expertise in GenAI solutionsEducation:- Bachelors or masters degree in Statistics, Mathematics, Computer Science, Economics, or related fieldsTechnical Skills:- Proficiency in Python, PySpark, SQL- Experience with transformer models, vector DBs, and semantic search- Familiarity with MLOps practices and Azure cloud platform- Knowledge of prompt engineering, fine-tuning, and evaluation techniquesSoft Skills:- Strong problem-solving and analytical skills- Excellent communication and storytelling abilities- Ability to work independently and collaboratively in a fast-paced environment- Proactive mindset with a continuous learning approachIf you find that you do not meet all the criteria listed above, we still encourage you to apply as we value diversity and inclusivity in our workplace. Tiger Analytics is an equal opportunity employer with a diverse and inclusive culture. Compensation packages are competitive, and additional benefits include health insurance (self & family), virtual wellness platform, and access to knowledge communities. As a Senior Data Scientist at Tiger Analytics, you will be specializing in Generative AI and Large Language Models (LLMs) to design and deploy innovative solutions for enterprise use cases. Your typical day will involve working on a range of tasks including text summarization, Q&A, content generation, code generation, and more. Here are the key responsibilities for this role:- Design and implement LLM-based solutions for various applications- Build and optimize Text to SQL pipelines for natural language querying of structured data- Utilize LLMs for time series forecasting and fine-tune pre-trained foundation models on domain-specific datasets- Develop RAG (Retrieval-Augmented Generation) pipelines and orchestration workflows- 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 and advancements in GenAI methodologies and tools for continuous improvementQualifications:- 7 years of hands-on experience in Data Science/ML with expertise in GenAI solutionsEducation:- Bachelors or masters degree in Statistics, Mathematics, Computer Science, Economics, or related fieldsTechnical Skills:- Proficiency in Python, PySpark, SQL- Experience with transformer models, vector DBs, and semantic search- Familiarity with MLOps practices and Azure cloud platform- Knowledge of prompt engineering, fine-tuning, and evaluation techniquesSoft Skills:- Strong problem-solving and analytical skills- Excellent communication and storytelling abilities- Ability to work independently and collaboratively in a fast-paced environment- Proactive mindset with a continuous learning approachIf you find that you do not meet all the criteria listed above, we still encourage you to apply as we value diversity and inclusivity in our workplace. Tiger Analytics is an equal opportunity employer with a diverse and inclusive culture. Compensation packages are competitive, and additional benefits include health insurance (self & family), virtual wellness platform, and access to knowledge communities.

Keyskills :
PythonSQLSemantic SearchGenerative AILarge Language ModelsText SummarizationTime Series ForecastingRAG RetrievalAugmented Generation PipelinesLang ChainLangGraphPySparkTransformer ModelsVector DBsMLOps PracticesAzure Cloud Platform