HI
senior applied ai data scientist
- Salary
- $115K–$135KUSD per year
- Hiring from
- United States
- Work type
- Hybrid
- Posted
- Sep 27, 2026
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26 days ago
Data Scientist 3 (Applied AI)
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114 907 - 135 000$
Work format
hybrid
Work type
fulltime
Grade
senior
b2
Country
US
pythonsqlrawsllmragmachine learningprompt engineeringgenerative aisagemaker
Vacancy from Hirify Global, list of international tech companies
Plus is required to make matches and apply
Plus is required to make matches and apply
$115k-135k/yr
$150k$170kmedian$200k
Similar roles (46) ~ $170k/yr
On CIS market: $4.4k/mo ($3.6k - $13k)
45
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The role has a clear scope and decent responsibilities, but the salary is significantly below market standards, which could limit its attractiveness.
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Hirify AI/Original
TL;DR
Data Scientist 3 (Applied AI) (Machine Learning/LLMs): Developing predictive analytics, statistical models, and applied AI solutions for enterprise business decisions with an accent on large language models, generative AI, and AWS-based deployment. Focus on building production machine learning systems, designing RAG and agentic workflows, and enhancing data infrastructure for real-time analytics.
Location: North Bethesda, Maryland, United States. Hybrid schedule requiring regular in-office collaboration alongside remote work flexibility.
Salary: $114,907–$135,000 annually.
Company
hirify.global is a global lodging franchisor operating 7,500 hotels across 45+ countries and territories.
What you will do
- Lead predictive modeling and applied AI initiatives supporting strategic and operational enterprise decisions.
- Build and deploy statistical models, machine learning algorithms, LLM solutions, and generative AI applications.
- Deliver ad hoc analyses, geospatial analyses, and product presentations that communicate insights to stakeholders.
- Partner with IT and Data Delivery teams to enhance infrastructure for real-time, machine learning, and generative AI capabilities.
- Deploy solutions using AWS services including Redshift, Athena, S3, SageMaker AI, Bedrock, Lambda, and AgentCore.
- Research new methodologies and contribute to team upskilling, including AI-assisted development workflows.
Requirements
- At least 5 years of analytical experience with predictive modeling and statistical techniques such as regression, segmentation, clustering, and time series analysis.
- Master’s degree in Data Science, Economics, Mathematics, Statistics, Operations Research, or another quantitative field.
- Hands-on experience with machine learning, LLMs, prompt engineering, retrieval-augmented generation, and agentic workflows.
- Working knowledge of Python or R, SQL, Git, code review, and the machine learning model lifecycle from prototyping through production monitoring.
- Experience with data preparation, profiling, quality monitoring, lightweight data engineering, and model evaluation.
- Ability to work independently, communicate clearly, partner with business stakeholders, and deliver documented, maintainable code.
Nice to have
- AWS certification.
- Experience with geospatial analytics and tools such as ArcGIS, GeoPandas, or PostGIS.
Culture & Benefits
- Medical, dental, and vision coverage.
- Paid holidays, vacation, personal, family, volunteer, sick, jury duty, bereavement, military, and religious-observance leave.
- Retirement and health savings benefits.
- Employee recognition programs and discounts at Choice hotels worldwide.
- Culture grounded in respect, curiosity, integrity, listening, and continuous growth.
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