Pay
$118K–$195K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 3,828 postings in the last year. Stated ranges, not salaries paid.
Lead Data Scientist - GenAI
Texas, United States
Open 6 months, first seen by us 181 days ago- Pay
- Pay not listedSimilar roles state $118K–$195K
- 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
Before you apply
- Employer’s visa record
- 291 H-1B petitions approved in fiscal 2024 and 2025For the employer as a whole. This posting doesn’t say whether the role is sponsored. US Citizenship and Immigration Services.
What you’ll work on
Full postingDesign and develop machine learning and GenAI solutions using RAG
Build LLM-powered applications on Azure OpenAI with LangGraph workflows
Develop agentic AI workflows for automation and decision support
Translate client business problems into high-level analytics solution designs
Present analytic solutions and results to business and senior management audiences
From the employer’s posting
Design and develop machine learning and Generative AI solutions using RAG
Build LLM-powered applications leveraging Azure OpenAI and orchestrate workflows using LangGraph
Develop agentic AI workflows for automation, insights generation, and decision support
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
What you’ll bring
All qualificationsCore experience
- 6+ years of experience as a GenAI data scientist
- Proficiency in Python and SQL
- Experience with MLflow and model lifecycle management
- Solid understanding of LLMs, prompt engineering and RAG
- Experience building end-to-end ML pipelines in production
Qualification wording
6+ years of experience working as a GenAI Data Science.
Proficiency in Python and SQL
Experience with MLflow and model lifecycle management
Solid understanding of latest-generation AI concepts including LLMs, prompt engineering, retrieval-augmented generation (RAG)
Experience building end-to-end ML pipelines in production
Education & alternatives
- Ability to design scalable and reliable AI systems - Bachelor's in Business Analytics or equivalent work experience. Benefits
Benefits in the posting
Full benefits wording- 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.
From the employer’s posting.
Posting record
Report an errorOpen 6 monthsWe first saw this posting 181 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- May 15, 2026181 days ago
- Recorded sightings
- 449
- Last seen by us
- Nov 12, 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
Time since we first saw it
Day 181
Up longer than most. Similar jobs usually come down between day 8 and day 60.
Well past Tiger Analytics’s usual: its jobs come down by about day 68.
From 11,617 similar postings that came down, and 27 of Tiger Analytics’s. Coming down is not always a hire.
Tiger Analytics is hiring
74 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
- 1% of open jobs were reposted
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- Azure
- MLflow
- Hugging Face
Where the posting names them
- 6+ years of experience working as a GenAI Data Science. - Proficiency in Python and SQL - Experience with MLflow and model lifecycle management
- Experience with MLflow and model lifecycle management - Experience with Python from a functional programming paradigm, able to manage dependencies and virtual environments, along with version control in git - Generative AI Knowledge: Solid understanding of latest-generation AI concepts including LLMs, prompt engineering, retrieval-augmented generation (RAG), and other contemporary generative AI applications
- Design and develop machine learning and Generative AI solutions using RAG - Build LLM-powered applications leveraging Azure OpenAI and orchestrate workflows using LangGraph - Develop agentic AI workflows for automation, insights generation, and decision support
- Proficiency in Python and SQL - Experience with MLflow and model lifecycle management - Experience with Python from a functional programming paradigm, able to manage dependencies and virtual environments, along with version control in git
- 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)
Your next step
Complete your application on apply.workable.com. The employer’s form will show what is required.
Applying through Workable
- No account needed. You can import your resume to fill in the form, or skip that and fill it in yourself.
Already applied? Track this application
Demand for Data Scientist roles
New Data Scientist postings at the employers we follow are down 4% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 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
Tiger Analytics is looking for experienced Data Scientists GenAI 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 Lead 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 RAG
- Build LLM-powered applications leveraging Azure OpenAI 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
- 6+ years of experience working as a GenAI Data Science.
- Proficiency in Python and SQL
- Experience with MLflow and model lifecycle management
- Experience with Python from a functional programming paradigm, able to manage dependencies and virtual environments, along with version control in git
- 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.)
- Experience developing models from inception to deployment 5-10 years of professional work experience with at least 5 years in Data Science.
- 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
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.
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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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Texas, United States
Working pattern and location restrictions need checking in the full posting.
- Work authorization
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