Senior Data Scientist – GenAI

🕒 May 26

🌽 Illinois – Remote

🌽 Illinois – Remote

⏰ Full Time

🟠 Senior

📊 Data Scientist

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Tiger Analytics

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2011

🤖 Artificial Intelligence

🤝 B2B

Artificial Intelligence • B2B • Consulting

Tiger Analytics is a leading AI and analytics consulting firm that specializes in leveraging data science and machine learning to provide strategic business insights across various industries. They offer services in data strategy, AI engineering, and business intelligence to enable data-driven decision-making and digital transformation for their clients. Tiger Analytics collaborates with top technology partners like Microsoft, Google Cloud, and AWS to deliver cutting-edge solutions. They serve a diverse range of sectors including consumer packaged goods, healthcare, and finance, helping businesses operationalize insights and differentiate with AI and machine learning technologies.

📋 Description

• 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 Databricks and Azure AI services. • Build **LLM-powered applications** 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

• 8 - 10 years of professional work experience with at least 5 years in Data Science • Proficiency in **Python and SQL** • Experience with **MLflow** and model lifecycle management • 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.) • Hands-on experience with **Databricks Model Serving** • Ability to work with IT and Data Engineering teams to help embed analytic outputs in business processes • 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.