GenAI ML Scientist II: Production Models & Data Dashboards

Strategic Education, Inc; Minneapolis (MN); On-site; USD 95,000 - 143,000; Full time

Benefits offered by this job

Medical benefits

401(k) retirement plan

Tuition assistance

Employee discounts

Job summary

Strategic Education, Inc. is seeking a Data Scientist II to leverage machine learning and GenAI (LLMs) to deliver scalable, data-driven solutions that improve business performance and decision-making. You will build predictive models, deploy LLM-based solutions, and develop impactful Power BI reports to enable data-driven decisions.

The role emphasizes strong analytics, data storytelling, and collaboration with stakeholders, with a focus on responsible AI practices and governance.

Qualifications

• Strong proficiency in SQL and Python (or R).
• Experience building and deploying ML models.
• Experience with GenAI/LLMs and NLP use cases.
• Familiar with CI/CD, Airflow, and workflow orchestration.
• Power BI or equivalent visualization tools.

Responsibilities

• Analyze large datasets from multiple sources and prepare data for modeling.
• Design, build, and deploy ML models and GenAI solutions.
• Develop GenAI use cases like text classification and embeddings.
• Productionize models with CI/CD and Airflow.
• Create Power BI dashboards to track KPIs and model outcomes.
• Communicate findings to technical and non-technical stakeholders.

Skills

SQL

Python

GenAI

LLMs

CI/CD

Airflow

Power BI

Data storytelling

Education

Bachelor's degree in a quantitative field

Tools

Git

Airflow

Job description

Strategic Education, Inc. is seeking a Data Scientist II to leverage machine learning and GenAI (LLMs) to deliver scalable, data-driven solutions that improve business performance and decision-making. You will build predictive models, deploy LLM-based solutions, and develop impactful Power BI reports to enable data-driven decisions.

The role emphasizes strong analytics, data storytelling, and collaboration with stakeholders, with a focus on responsible AI practices and governance.