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Senior Data Scientist - Agentic AI

Tiger AnalyticsNew York, New York, United States
On-site Full-time
Position filled

Experience Level

Senior

Qualifications

Requirements:7+ years of overall experience, with a minimum of 4 years as a GenAI Data Scientist. Proficiency in Python with a strong understanding of functional programming principles, dependency management, and version control using Git. Solid foundation in machine learning, deep learning, natural language processing (NLP), cloud computing, multi-agent systems, data analysis, and ethical considerations in AI development. Experience with agent frameworks (preferably Langchain). Familiarity with prompt engineering for chatbots, virtual assistants, image generation, etc. Experience with both proprietary and open-source LLMs.

About the role

Tiger Analytics is on the lookout for highly skilled Data Scientists to join our rapidly expanding advanced analytics consulting team. With a wealth of experience in Data Science, Machine Learning, and AI, our professionals are trusted analytics partners for numerous Fortune 500 companies, empowering them to unlock business value from their data. Our leadership and business value have been acknowledged by leading market research firms, including Forrester and Gartner. As we strive to assemble the finest global analytics consulting team, we invite top-tier talent to apply.

In the role of Senior Data Scientist, you will leverage your strong AI expertise in machine learning, data mining, and information retrieval to design, prototype, and develop cutting-edge analytics engines and services. You will work closely with cross-disciplinary teams and business partners to define technical problem statements and formulate hypotheses for testing. Your focus will be on creating effective analytical models that replicate business decision-making processes, incorporating these models into analytical data products and tools. This position offers you the chance to influence both current and future strategies by applying your analytical capabilities to ensure business value and effectively communicate outcomes.

Key Responsibilities:

  • Act as a key resource for developing AI agents and RAG databases to address complex challenges. Create AI agent tools to automate data retrieval, wrangling, and analysis.
  • Utilize your understanding of data structures, analytics, algorithms/models, and solid computer science principles to prepare datasets, execute analytics, and develop deployable solutions with guidance from senior team members.
  • Analyze and integrate complex new data sources into analytical solutions.
  • Collaborate with clients and key stakeholders to generate innovative ideas, perform design, analysis, and process enhancements.
  • Develop and implement AI and ML solutions on the Google Cloud Platform.
  • Leverage vast data sources to derive business insights and features for groundbreaking solutions.
  • Understand various data types, both structured and unstructured.

About Tiger Analytics

Tiger Analytics stands as a premier advanced analytics consulting firm, renowned for transforming data into actionable insights for Fortune 500 companies. Our teams are composed of experts in Data Science, Machine Learning, and AI, dedicated to delivering unparalleled business value. Our credibility is reinforced by recognition from prestigious research firms like Forrester and Gartner.

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