[Remote] Data Scientist II
Note: The job is a remote job and is open to candidates in USA. Strategic Education, Inc. is seeking a Data Scientist II who will leverage machine learning and Generative AI to deliver scalable, data-driven solutions. The role involves building and deploying predictive models, developing insights through analytics, and collaborating with stakeholders to identify opportunities for advanced analytics.
Responsibilities
- Analyze and integrate large, complex datasets from multiple sources, with cloud environments preferred
- Design, build, and deploy machine learning models and LLM-powered solutions
- Develop GenAI use cases such as text classification, embeddings, summarization, and decision-support tools
- Productionize models using CI/CD pipelines and orchestrate workflows using Airflow DAGs
- Monitor model performance, maintain documentation, and support governance, reliability, and ongoing model maintenance
- Translate analytical findings into clear and actionable business insights for technical and non-technical audiences
- Build dashboards and visualizations using Power BI to track KPIs, trends, and model outcomes
- Partner with stakeholders to identify opportunities for advanced analytics and AI adoption
- Apply strong data validation and quality checks to ensure data accuracy, completeness, and integrity
- Support ethical AI practices, data privacy requirements, and governance standards
- Mentor junior data scientists and contribute to team best practices and standards
Skills
- Strong proficiency in SQL and Python, or R
- Hands-on experience developing and deploying machine learning models
- Experience with Generative AI and LLMs, including prompting, embeddings, and NLP-related 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 strong attention to detail
- Strong data intuition and the ability to identify patterns, anomalies, and meaningful insights
- Ability to communicate complex analytical and AI concepts clearly to technical and non-technical audiences
- Experience with version control tools such as Git and collaborative development practices
- Ability to work independently and effectively in ambiguous environments
- 3+ years of experience in data science, advanced analytics, or a related field
- Proven experience building and deploying machine learning solutions in production
- Experience applying statistical analysis and predictive modeling
- Exposure to or hands-on experience with GenAI and LLM applications is strongly preferred
- Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or a related quantitative field required
- Experience with cloud platforms such as AWS, Azure, or GCP
- Experience operationalizing LLM-based solutions in production environments
- Familiarity with MLOps and model lifecycle management
- Demonstrated passion for AI innovation and continuous learning
Benefits
- Comprehensive package of benefits to employees scheduled 30 hours or more per week
- Medical, dental, vision, life and disability plans
- Well-being incentives
- Parental leave
- Paid time off
- Certain paid holidays
- Tax saving accounts (FSA, HSA)
- 401(k) retirement benefit
- Employee Stock Purchase Plan
- Tuition assistance
- Entertainment and retail discounts
- Non-exempt employees are eligible for overtime pay, if applicable
Company Overview
Company H1B Sponsorship