Lead Data Scientist - GenAI

Responsibilities

• Work on the latest applications of data science to solve business problems
• 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
• Make presentations to senior management, communicate results to business teams, and develop plans to help operationalize analytic solution

Requirements

• 6+ years of experience working as a GenAI Data Scientist
• 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.)
• 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

Qualifications

Bachelor's in Business Analytics or equivalent work experience

Skills

Deep technical expertise, hands-on coding experience, collaboration skills, business problem-solving, presentation skills, project management, ethical considerations in AI, and model governance.

Benefits

• Significant career development opportunities
• Unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment
• High degree of individual responsibility
• Tiger Analytics provides equal employment opportunities to all employees and applicants for employment 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.

Pay

Negotiable based on experience and qualifications

Schedule

Full-time, remote work option available