Senior Data Scientist – GenAI

Tiger Analytics

Senior Data Scientist with expertise in GenAI modelling working at Tiger Analytics. Leading projects while collaborating closely with clients to deliver analytical solutions.

Posted 7/8/2026full-timeChicago • Illinois, Pennsylvania • 🇺🇸 United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in developing end-to-end machine learning solutions and generative AI applications, with a strong focus on translating complex business problems into actionable analytics. Proficient in Python, SQL, and various machine learning frameworks, ensuring robust and ethical AI implementations.

Highest-signal resume keywords

Data Science ExpertiseMachine Learning DevelopmentGenerative AI KnowledgeEnd-to-End ML Pipeline ConstructionBusiness Problem Translation

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

PythonSQLMachine LearningDeep LearningNatural Language ProcessingGenerative AlgorithmsModel Lifecycle ManagementSequential AlgorithmsDocument IntelligenceAnalytics Solution Design

Soft Skills

CommunicationCollaborationPresentation SkillsProblem Solving

Tools & Technologies

DatabricksAzure AI ServicesMLflowLangGraphHuggingFaceBedrockJumpStart

Certifications & Qualifications

Bachelor's in Business Analytics

Industry Keywords

BankingRetailSupply ChainLogisticsDemand PlanningEthical AIModel Governance

Tech Stack

Tools & technologies

AzurePythonSQL

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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.

Benefits

Comp & perks

Significant career development opportunities exist as the company grows.
Unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.
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.