Senior Data & AI Scientist: AI Strategy & LLM (Remote)

Ascend Learning

Leawood (KS)

Hybrid

USD 151,000 - 216,000

Full time

7 days ago
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Benefits offered by this job

Health, dental, and vision insurance
401(k) with company match
Paid time off

Job summary

Ascend Learning is seeking a Sr Data & AI Scientist to lead strategic data science and AI initiatives, including generative AI and LLM-based tools that span multiple business functions. The role focuses on translating complex needs into scalable data science solutions while improving enterprise data readiness for AI/ML use.

The position involves designing, building, and deploying large language model–based tools, collaborating with Engineering, Data, and Operations to embed AI capabilities in

Qualifications

  • Master's degree in Statistics, Data Science, CS, Math or similar.
  • 7+ years in data science/AI in industry with emphasis on applied AI.

Responsibilities

  • Lead strategic data science and AI initiatives across Ascend Learning.
  • Design and implement AI/LLM-based solutions for multiple business functions.
  • Build LLM-based tools and interfaces enabling natural language data access for users.
  • Develop and refresh ML/AI models with reproducible engineering practices.
  • Partner with Engineering, Data, and Operations to embed AI capabilities into products.

Skills

Data science stack
Python / ML tools
Generative AI / LLM
Snowflake metadata
Relational & NoSQL
Data visualization
Business problem translation
Cross-functional collaboration

Education

Master's degree in quantitative field

Tools

Python NumPy SciPy Scikit-learn TensorFlow
Snowflake data modeling

Job description

Ascend Learning is seeking a Sr Data & AI Scientist to lead strategic data science and AI initiatives, including generative AI and LLM-based tools that span multiple business functions. The role focuses on translating complex needs into scalable data science solutions while improving enterprise data readiness for AI/ML use.

The position involves designing, building, and deploying large language model–based tools, collaborating with Engineering, Data, and Operations to embed AI capabilities in

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