Senior GenAI Data Scientist – Retail Analytics

Tiger Analytics; Chicago (IL); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Significant career development opportunities

Challenging and entrepreneurial environment

Job summary

Tiger Analytics is seeking a highly skilled Senior Data Scientist with robust expertise in Generative AI and data science. You will lead projects, mentor teams, and devise scalable solutions to address complex business problems for Fortune 500 clients.

The ideal candidate must possess 8-10 years of experience in Data Science, coding proficiency in Python and SQL, and familiarity with tools like Databricks and Azure AI. Join a dynamic team committed to driving business value through advanced analytics.

Qualifications

• 8 - 10 years of professional experience with 5 years in Data Science.
• Practical exposure to Retail, supply chain domain problems.
• Experience evaluating ethical implications of AI and controlling for them.

Responsibilities

• Work on data science applications to solve business problems.
• Translate business problems into analytics solution designs.
• Present analytic solutions to business audiences.

Skills

Proficiency in Python

Proficiency in SQL

Generative AI Knowledge

Experience with MLflow

Expertise in supervised learning

Experience in generative algorithms

Experience building end-to-end ML pipelines

Ability to work with IT and Data Engineering

Education

Bachelor's in Business Analytics or equivalent

Tools

Databricks

Azure AI services

LangGraph

CI/CD pipelines

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

This position offers an excellent opportunity for significant career development in a fast-growing and challenging 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.