[Hiring] Senior Data Scientist @Tiger Analytics Inc.

Role Description

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. As a Senior Data Scientist, you will apply strong expertise in AI through the use of machine learning, data mining, and information retrieval to design, prototype, and build next-generation advanced analytics engines and services.

• Collaborate with cross-functional teams and business partners to define the technical problem statement and hypotheses to test.
• Develop efficient and accurate analytical models which mimic business decisions and incorporate those models into analytical data products and tools.
• Drive current and future strategy by leveraging analytical skills to ensure business value and communicate results.

Qualifications

• 7+ years of overall experience, 4+ years working as a GenAI Data Scientist.
• Experience with Python from a functional programming paradigm, able to manage dependencies and virtual environments, along with version control in git.
• Machine learning and deep learning fundamentals, natural language processing (NLP), cloud computing, multi-agent systems understanding, data analysis, programming proficiency, and a grasp of ethical considerations in AI development.
• Experience with agents frameworks (preferably Langchain).
• Experience with prompt engineering - Chatbots and virtual assistants, image generation, etc.
• Experience with proprietary and/or open source LLMs.
• Experience with RAG and Vector Databases.

Requirements

• Serve as a resource for creating AI agents and RAG databases to solve problems.
• Develop AI Agent tools to automate the retrieval, wrangling, and analysis of data.
• Utilize combined knowledge of data structures, analytics, algorithms/models, and strong computer science fundamentals to prepare datasets, conduct analytics, and develop deployable solutions with guidance from more senior resources.
• Able to analyze and prepare complex and new data sources and incorporate them into analytical solutions.
• Collaborate with customers and key stakeholders on initiating ideas, performing design, analysis, and process improvement.
• Develop and deploy AI and ML solutions on Google Cloud Platform.
• Utilize massive data sources to craft business insights and features for innovative solutions.
• Understand diverse data sources, both structured and unstructured.

Benefits

• Excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.