Data Scientist- Manager

KPMG LLP; Montvale (NJ); On-site; USD 130,000 - 190,000; Full time

Job summary

KPMG is seeking a Data Scientist to join our Audit Technology Alliance organization.

In Montvale, NJ, you will develop sophisticated generative AI solutions, guide the end-to-end DS lifecycle for key features, mentor junior data scientists, and collaborate with product managers, audit SMEs, and engineers to translate complex business requirements into scalable, high-quality technical solutions. You will champion quality, drive SDLC processes, and align outcomes with business timelines.

Qualifications

• Minimum five years of data science experience with production AI.
• PhD or Master’s degree in CS/Statistics/Mathematics required.
• Hands-on with generative AI, LLMs, RAG pipelines, LangChain/LangGraph, Semantic Kernel.
• Proficient in Python; experience with data platforms like Databricks or Microsoft Fabric; Azure Search
• Strong SDLC expertise in Agile; Git and CI/CD in Azure DevOps.
• Excellent analytical and communication skills for technical and non-technical stakeholders

Responsibilities

• Develop sophisticated generative AI solutions; guide a team of data scientists
• Guide the end-to-end data science lifecycle for key product features; oversee experimentation, rigorous model evaluation, and prompt engineering and optimization
• Collaborate closely with product managers, audit subject matter experts, and engineering teams to translate complex business requirements into scalable and reliable technical solutions
• Champion a culture of quality and innovation within engineering teams; identify opportunities to continually improve solutions
• Drive quality SDLC processes with AI engineering teams; deliver solutions on time to meet business cycle timelines
• Champion and enhance AI and RAG evaluation frameworks using tools like LangSmith; ensure solutions meet KPMG's standards for quality
• Provide technical leadership and mentorship to junior data scientists; guide hands-on work in context engineering, model tuning, and advanced data analysis
• Act with integrity, professionalism, and personal responsibility to uphold KPMG’s respectful and courteous work environment

Skills

Generative AI

LLMs

Python

Databricks

LangChain

LangSmith

Azure OpenAI

Azure DevOps

CI/CD

Communication

Education

PhD or Master’s in Computer Science / Statistics / Mathematics

Tools

Databricks

Microsoft Fabric

Azure Search

Git

Job description

KPMG is currently seeking a Data Scientist to join our Audit Technology Alliance organization.

Responsibilities:

• Develop sophisticated generative AI solutions; provide technical guidance to a team of data scientists
• Guide the end-to-end data science lifecycle for key product features; oversee experimentation, rigorous model evaluation, and prompt engineering and optimization
• Collaborate closely with product managers, audit subject matter experts, and engineering teams to translate complex business requirements into scalable and reliable technical solutions
• Champion a culture of quality and innovation within engineering teams; identify opportunities to continually improve solutions
• Drive quality SDLC processes with AI engineering teams; deliver solutions on time to meet business cycle timelines
• Champion and enhance AI and RAG evaluation frameworks using tools like LangSmith; ensure solutions meet KPMG's standards for quality
• Provide technical leadership and mentorship to junior data scientists; guide hands-on work in context engineering, model tuning, and advanced data analysis
• Act with integrity, professionalism, and personal responsibility to uphold KPMG’s respectful and courteous work environment

Qualifications:

• Minimum five years of recent experience in data science or a related machine learning field with a proven track record of delivering AI solutions into production environments
• PhD or Master’s degree from an accredited college or university in computer science, statistics, mathematics, or a related quantitative discipline is required
• Hands-on expertise with generative AI including extensive experience with LLMs (for example, Azure OpenAI, Google Cloud), RAG pipelines, and AI frameworks such as LangChain/LangGraph or Semantic Kernel
• Proficient in Python and its data science ecosystem; experienced in building solutions on data platforms like Databricks or Microsoft Fabric and search technologies like Azure AI Search
• Solid understanding of the software development lifecycle (SDLC) in an agile environment; experienced with version control tools like Git and CI/CD tools within Azure DevOps
• Exceptional analytical skills; able to communicate complex technical concepts clearly and effectively to both technical and non-technical stakeholders(200TEC)