Lead Data Scientist - GenAI

Tiger Analytics; United States; On-site; USD 150,000 - 230,000; Full time

Benefits offered by this job

Equal employment opportunities

Job summary

Tiger Analytics is seeking an experienced Lead Data Scientist with GenAI expertise to join our fast-growing analytics consulting team in the United States. You will design, develop, and deploy scalable GenAI solutions and lead projects while mentoring junior staff.

You will collaborate with client stakeholders, build LLM-powered applications using Azure OpenAI, and create end-to-end ML pipelines, ensuring robust, production-ready analytics that drive business value.

Qualifications

• 6+ years of professional GenAI data science experience.
• Proficiency in Python and SQL.
• Experience with MLflow and model lifecycle management.
• Python functional programming and Git version control.
• Solid understanding of LLMs, prompt engineering, RAG, and other generative AI apps.
• Experience with sequential models (LSTM, RNN, transformer).
• Experience with Bedrock, JumpStart, HuggingFace.
• Ethical considerations and red-teaming in AI development.
• Supervised, unsupervised, deep learning and transfer learning.
• Generative algorithms (GAN, VAE) and pre-trained models (LLaMa, SAM).
• End-to-end ML pipelines in production; 5–10 years total, 5+ in DS.
• CI/CD, monitoring, and model governance.
• Ability to design scalable and reliable AI systems.
• Bachelor's in Business Analytics or equivalent work experience.

Responsibilities

• Work on the latest applications of data science to solve business problems.
• Translate business problems into high level analytics solution designs with client stakeholders.
• Present analytic solutions to business audiences highlighting robustness and business value.
• Develop end-to-end solutions based on deep understanding of business problems for efficient delivery.
• Design and develop machine learning and Generative AI solutions using RAG.
• Build LLM-powered applications leveraging Azure OpenAI and LangGraph workflows.
• Develop agentic AI workflows for automation, insights generation, and decision support.
• Implement Document Intelligence solutions for unstructured data insights.
• Discuss with team to apply relevant analytics techniques and generate actionable insights.
• Present results to senior management and develop operationalization plans.

Skills

Python

SQL

Git

CI/CD pipelines

Deep learning

Education

Bachelor's in Business Analytics or equivalent

Tools

MLflow

Bedrock

JumpStart

HuggingFace

LangGraph

Azure OpenAI

Job description

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.