Senior/Lead Data Scientist - Agentic AI
Dallas, Texas, United States
- Pay
- Pay not listedSimilar roles state $118K–$193K
- Work setting
Remote — work setting source
Work setup in the employer’s posting: Remote
From the employer’s posting- Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting
What you’ll work on
Full postingCreate AI agents and RAG databases to solve business problems
Develop AI agent tools that automate data retrieval, wrangling, and analysis
Develop and deploy AI and ML solutions on Google Cloud Platform
Analyze and prepare complex, new data sources for analytical solutions
Work with customers and stakeholders on design, analysis, and process improvement
From the employer’s posting
Serve as a resource for creating AI agents and RAG databases to solve problems.
Develop AI Agent tools to automate the retrieval, wrangling, and analysis of data.
Develop and deploy AI and ML solutions on Google Cloud Platform.
Able to analyze and prepare complex and new data sources and incorporate them into analytical solutions.
Collaborate with customers and key stakeholders on initiating ideas, performing design, analysis, and process improvement.
What you’ll bring
All qualificationsCore experience
- 7+ years of overall experience, 4+ years working as a GenAI Data Scientist.
- Experience with Python from a functional programming paradigm, able to manage dependencies and virtual environments, along with version control in git
- Experience with agents frameworks (preferably Langchain).
- Experience with Prompt engineering- Chatbots and virtual assistants, Image generation etc.
- Experience with proprietary and/or open source LLMs.
- Experience in prompt engineering.
Qualification wording
7+ years of overall experience, 4+ years working as a GenAI Data Scientist.
Experience with Python from a functional programming paradigm, able to manage dependencies and virtual environments, along with version control in git
Experience with agents frameworks (preferably Langchain).
Experience with Prompt engineering- Chatbots and virtual assistants, Image generation etc.
Experience with proprietary and/or open source LLMs.
Experience in prompt engineering.
Tools in this posting
- Python
- GCP
Source — Tool mentions in context
- 7+ years of overall experience, 4+ years working as a GenAI Data Scientist. - Experience with Python from a functional programming paradigm, able to manage dependencies and virtual environments, along with version control in git - Machine learning and deep learning fundamentals, natural language processing (NLP), cloud computing, multi-agent systems understanding, data analysis, programming proficiency, and a grasp of ethical considerations in AI development.
- Collaborate with customers and key stakeholders on initiating ideas, performing design, analysis, and process improvement. - Develop and deploy AI and ML solutions on Google Cloud Platform. - Utilize massive data sources to craft business insights and features for innovative solutions.
Posting record
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- Live
- First seen by us
- Aug 26, 2026 · 64 days ago
- Recorded sightings
- 116
- Last seen by us
- Oct 29, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
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Job description
Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our employees 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.
As a Senior Data Scientist, you will apply strong expertise in AI through the use of machine learning, data mining, and information retrieval to design, prototype, and build next-generation advanced analytics engines and services. You will collaborate with cross-functional teams and business partners to define the technical problem statement and hypotheses to test. You will develop efficient and accurate analytical models which mimic business decisions and incorporate those models into analytical data products and tools. You will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results.
Key Responsibilities
- Serve as a resource for creating AI agents and RAG databases to solve problems. Develop AI Agent tools to automate the retrieval, wrangling, and analysis of data.
- Utilize combined knowledge of data structures, analytics, algorithms/models, and strong computer science fundamentals to prepare datasets, conduct analytics, and develop deployable solutions with guidance from more senior resources.
- Able to analyze and prepare complex and new data sources and incorporate them into analytical solutions.
- Collaborate with customers and key stakeholders on initiating ideas, performing design, analysis, and process improvement.
- Develop and deploy AI and ML solutions on Google Cloud Platform.
- Utilize massive data sources to craft business insights and features for innovative solutions.
- Understand diverse data sources, both structured and unstructured.
Requirements
- 7+ years of overall experience, 4+ years working as a GenAI Data Scientist.
- Experience with Python from a functional programming paradigm, able to manage dependencies and virtual environments, along with version control in git
- Machine learning and deep learning fundamentals, natural language processing (NLP), cloud computing, multi-agent systems understanding, data analysis, programming proficiency, and a grasp of ethical considerations in AI development.
- Experience with agents frameworks (preferably Langchain).
- Experience with Prompt engineering- Chatbots and virtual assistants, Image generation etc.
- Experience with proprietary and/or open source LLMs.
- Experience in prompt engineering.
- Experience with RAG and Vector Databases
Benefits
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.
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- Location & working pattern
Dallas, Texas, United States
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