Data Scientist II

Strategic Education, Inc.
Minneapolis, MN, United States
28 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Working hours
Regular working hours

Tech stack

Artificial Intelligence Airflow Big Data Continuous Integration Data Validation Data Governance Data Visualization Python (Programming Language) Machine Learning Power BI SQL Databases Workflow Management Systems
+6 more
Large Language Models Generative AI Git Data Analytics Machine Learning Operations Document Classification

Job description

Experteer Overview In this role, you will deliver scalable ML and GenAI solutions that drive measurable business impact. You’ll build predictive and LLM-powered models, productionize analytics with CI/CD and Airflow, and create Power BI dashboards to enable data-driven decisions. You’ll partner with stakeholders to identify high-value AI opportunities and mentor junior team members to raise overall capabilities. You’ll champion responsible AI and data governance while shaping AI adoption across the organization. Compensation / Benefits * Analyze and integrate large datasets from multiple sources in cloud environments * Design, build, and deploy ML models and GenAI-powered solutions * Develop GenAI use cases (text classification, embeddings, summarization, decision-support tools) * Productionize models with CI/CD and Airflow * Monitor model performance, maintain docs, and support governance and maintenance * Translate analytics into actionable insights for technical and non-technical audiences * Build Power BI dashboards to track KPIs and model outcomes * Partner with stakeholders to identify opportunities for advanced analytics and AI adoption * Apply data validation and quality checks to ensure data accuracy * Support ethical AI practices, privacy, and governance * Mentor junior data scientists and contribute to best practices Tasks * Strong proficiency in SQL and Python, or R * Hands-on experience developing and deploying ML models * Experience with Generative AI and LLMs (prompting, embeddings, NLP use cases) * Experience with CI/CD pipelines, Airflow, and workflow orchestration * Strong experience with Power BI or similar data visualization tools * Excellent analytical and problem-solving skills with attention to detail * Strong data intuition and ability to identify patterns and insights * Ability to communicate complex concepts to technical and non-technical audiences * Experience with Git and collaborative development * Ability to work independently in ambiguous environments * 3+ years in data science or related field * Proven experience deploying ML solutions in production * Experience with statistical analysis and predictive modeling * Exposure to GenAI/LLMs preferred Key requirements * medical, dental, vision * life and disability plans * 401(k) with matching * tuition assistance * Employee Stock Purchase Plan * paid time off and holidays

Requirements

advanced * Build Power BI dashboards to track KPIs and model outcomes * Partner with stakeholders to identify opportunities for advanced analytics and AI adoption * Apply data validation and quality checks to ensure data accuracy * Support ethical AI practices, privacy, and governance * Mentor junior data scientists and contribute to best practices Tasks * Strong proficiency in SQL and Python, or R * Hands-on experience developing and deploying ML models * Experience with Generative AI and LLMs (prompting, embeddings, NLP use cases) * Experience with CI/CD pipelines, Airflow, and workflow orchestration * Strong experience with Power BI or similar data visualization tools * Excellent analytical and problem-solving skills with attention to detail * Strong data intuition and ability to identify patterns and insights * Ability to communicate complex concepts to technical and non-technical audiences * Experience with Git and collaborative development * Ability to work independently in aaa detail environments * 3+ years in data science or related field * Proven experience deploying ML solutions in production * Experience with statistical analysis and predictive modeling * Exposure to GenAI/LLMs preferred Key requirements * medical, dental, vision * life and disability plans * 401(k) with matching * tuition assistance * Employee Stock Purchase Plan * paid time off and holidays

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