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Senior/Lead Data Scientist - Agentic AI

Dallas, Texas, United States

Live, first seen by us 71 days ago
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 posting
  • Create 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 qualifications

Core 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.
Apply at Tiger Analytics

Posting record

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Status in our records
Live
First seen by us
Aug 26, 202671 days ago
Recorded sightings
123
Last seen by us
Nov 5, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$118K–$193K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 3,721 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 71

Up longer than most. Similar jobs usually come down between day 7 and day 56.

At Tiger Analytics, jobs usually come down by about day 68.

From 10,204 similar postings that came down, and 25 of Tiger Analytics’s. Coming down is not always a hire.

Tiger Analytics is hiring

64 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Data Scientist hiring is picking up
  • Its jobs tend to stay up a long time
  • 2% of open jobs were reposted
Hiring record

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  • Python
  • GCP
Where the posting names them
- 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.

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Demand for Data Scientist roles

New Data Scientist postings at the employers we follow are down 3% over the last 5 weeks compared with the 5 before.

Weekly new Data Scientist postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 1,411, the most 2,973, and the latest week had 1,826.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Scientist, by the work the posting describes.

Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.

Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.

Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.

US government figures for data scientists

Median yearly pay, May 2025
$120,230
Expected change, 2025 to 2035
34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

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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