Lead Data Scientist - GenAI
泰格分析正在寻找经验丰富的数据科学家 GenAI 加入我们快速增长的高级分析咨询公司。我们的顾问在数据科学，机器学习和人工智能领域带来了深入的专业知识。我们是多个财富500强企业的可靠的分析合作伙伴，使他们能够从数据中产生商业价值。我们的商业价钱和领导力已被包括 Forrester 和 Gartner 在内的各种市场研究公司认可。我们正在寻求顶级人才，因为我们继续构建世界上最好的全球分析咨询团队。我们正在搜索一个具有高技能和经验的领先数据科学家，拥有 GenAI 模型方面的强大的专业知识。理想的候选人将拥有可扩展 GenAI 解决方案设计，开发和部署经验证明的记录，同时领导项目和指导团队。此职位需要深入的技术专业知识，实践编码经验以及与客户和利益相关者密切合作，以将业务需求转化为强大的分析解决方案的能力。责任：· 在解决业务问题时工作数据科学最新应用 · 与客户利益相关方直接合作，将业务问题转化成高水平的分析解决方案设计 ·向企业观众展示分析解决方案，突出了解决方案的强度以及它如何帮助创造商业价值。· 基于深入了解业务问题的开发端到端解决方案，以确保分析解决方案得到高效，可预测和可持续性提供。· 使用 RAG 设计和开发机器学习和生成 AI 解决方案。· 建立使用 Azure OpenAI 启动 LLM 驱动应用程序，并利用 LangGraph 编程工作流程。· 开发为自动化，见解生成和决策支持的代理人工智能工作流程；· 实施文件智能解决方案来从未结构化的数据中提取见解。·与团队成员进行讨论，以选择和应用相关分析技术并创造可操作的业务见解 · 负责向高级管理层做演讲，向业务团队传达结果，制定帮助运营分析解决方案计划 · 6年以上作为 GenAI 数据科学工作经验。· Python 和 SQL 的熟练知识 · ML 流程和模型生命周期管理的经验 · 从功能编程范式中使用 Python 的经验，能够管理依赖性和虚拟环境
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Tiger Analytics is looking for experienced Data Scientists GenAI to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.
We are seeking a highly skilled and experienced Lead Data Scientist with strong expertise in GenAI modelling. The ideal candidate will have a proven track record of designing, developing, and deploying scalable GenAI solutions, while leading projects and mentoring teams. This role requires deep technical expertise, hands-on coding experience, and the ability to collaborate closely with clients and stakeholders to translate business needs into robust analytical solutions.
Responsibilities:
- Work on the latest applications of data science to solve business problems
- Work directly with client stakeholders to translate business problems into high level analytics solution designs
- Present analytic solutions to business audiences highlighting robustness of the solution and how it could help generate business value
- Develop end-to-end solutions based on in-depth understanding of business problems to ensure analytics solutions are delivered efficiently, predictably, and sustainably
- Design and develop machine learning and Generative AI solutions using RAG
- Build LLM-powered applications leveraging Azure OpenAI and orchestrate workflows using LangGraph
- Develop agentic AI workflows for automation, insights generation, and decision support
- Implement Document Intelligence solutions for extracting insights from unstructured data
- Participate in discussions with team members to select and apply relevant analytic techniques and create actionable business insights
- Responsible for making presentations to senior management, communicating results to business teams, and develop plans to help operationalize analytic solution
Requirements
- 6+ years of experience working as a GenAI Data Science.
- Proficiency in Python and SQL
- Experience with MLflow and model lifecycle management
- Experience with Python from a functional programming paradigm, able to manage dependencies and virtual environments, along with version control in git
- Generative AI Knowledge: Solid understanding of latest-generation AI concepts including LLMs, prompt engineering, retrieval-augmented generation (RAG), and other contemporary generative AI applications
- Experience with sequential algorithms (e.g., LSTM, RNN, transformer, etc.)
- Experience with Bedrock, JumpStart, HuggingFace
- Experience evaluating ethical implications of AI and controlling for them (e.g., red-teaming)
- Expertise in supervised learning and unsupervised learning along with experience in deep learning and transfer learning
- Experience in generative algorithms (e.g., GAN, VAE, etc.) as well as pre-trained models (e.g., LLaMa, SAM, etc.)
- Experience developing models from inception to deployment 5-10 years of professional work experience with at least 5 years in Data Science.
- Experience building end-to-end ML pipelines in production
- Familiarity with CI/CD pipelines, monitoring, and model governance
- Ability to design scalable and reliable AI systems
- Bachelor's in Business Analytics or equivalent work experience.
Benefits
Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.
Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.
Originally posted on Himalayas