Senior Data Scientist – GenAI

Jobtailor; Illinois; On-site; USD 140,000 - 210,000; Full time

Job summary

Jobtailor is seeking a senior data scientist in Illinois to apply data science to business problems and work with client stakeholders to design high-level analytics solutions.

You will present analytic results to business audiences and develop end-to-end analytics solutions that are delivered efficiently and sustainably, including ML/AI and Document Intelligence implementations.

Qualifications

• 8–10 years of professional work experience, with at least 5 years in Data Science.
• Proficiency in Python and SQL.
• Experience with MLflow, NLP, and model lifecycle management.
• Generative AI knowledge including LLMs, prompt engineering, and RAG.
• Experience with sequential algorithms (LSTM, RNN, transformer).
• Experience with end-to-end ML pipelines in production.
• Familiarity with CI/CD, monitoring, and model governance.

Responsibilities

• Work on the latest applications of data science to solve business problems.
• Translate business problems into analytics solution designs with client stakeholders.
• Present analytic solutions to business audiences highlighting value.
• Develop end-to-end solutions to deliver analytics efficiently and sustainably.
• Design and develop ML 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 and insights generation.
• Implement Document Intelligence solutions for unstructured data.
• Discuss with team to apply relevant analytic techniques for actionable insights.
• Present to senior management and plan operationalization of analytic solutions.

Skills

Python

SQL

Data Science

NLP

ML/AI concepts

LLMs

Prompt engineering

RAG

Deep learning

Transfer learning

Education

Bachelor's in Business Analytics or equivalent

Tools

Databricks

Azure AI services

LangGraph

Bedrock

JumpStart

HuggingFace

Job description

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 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

Qualifications

• 8 - 10 years of professional work experience with at least 5 years in Data Science
• Proficiency in Python and SQL
• Practical exposure to Banking / Retail, supply chain domain problems such as logistics, distribution networks, or demand planning
• Experience with MLflow, NLP 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.)
• 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