Lead Data Scientist - GenAI

Tiger Analytics; New Jersey; On-site; USD 130,000 - 160,000; Full time

Job summary

A fast-growing advanced analytics consulting firm is seeking a highly skilled Lead Data Scientist with the expertise in GenAI modelling. The ideal candidate will lead projects, design scalable solutions, and mentor teams, requiring deep technical knowledge along with client collaboration. Responsibilities include developing machine learning solutions and managing analytics projects using tools like Databricks and Azure AI services. This position offers significant career development opportunities in a dynamic environment.

Qualifications

• 8 - 13 years of professional work experience with at least 5 years in Data Science.
• Strong hands-on experience with Databricks (PySpark, Delta Lake).
• Ability to design scalable and reliable AI systems.

Responsibilities

• Work on the latest applications of data science to solve business problems.
• Translate business problems into high level analytics solution designs.
• Develop end-to-end solutions based on in-depth business understanding.

Skills

Databricks (PySpark, Delta Lake)

Python

SQL

Azure Data Factory (ADF)

Azure Blob Storage

Azure OpenAI & Azure AI Foundry

Document Intelligence

MLflow

End-to-end ML pipelines

Education

Bachelor's in Business Analytics or equivalent work experience

Job description

Tiger Analytics is looking for experienced Data Scientists 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 Databricks and Azure AI services.
• 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

• 8 - 13 years of professional work experience with at least 5 years in Data Science
• Strong hands‑on experience with Databricks (PySpark, Delta Lake)
• Expertise in:
• Azure Data Factory (ADF)
• Azure Blob Storage
• Azure OpenAI & Azure AI Foundry
• Document Intelligence
• Proficiency in Python and SQL
• Experience with MLflow and model lifecycle management
• 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.

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.