Data Scientist II, Advanced Analytics

Key Objectives

• Deliver measurable impact using machine learning and GenAI/LLM-driven solutions
• Improve operational performance through scalable production-ready analytics
• Enable smarter decision-making through data storytelling and visualization
• Identify and implement high-value GenAI use cases across the organization
• Promote responsible effective use of AI and advanced analytics
• Mentor junior team members and elevate team capabilities

Essential Duties & Responsibilities

• Analyze and integrate large complex datasets from multiple sources (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 with Airflow (DAGs)
• Monitor model performance maintain documentation and ensure governance and reliability
• Translate analytical findings into clear business insights for technical and non-technical audiences
• Build dashboards and visualizations using Power BI to track KPIs and model outcomes
• Partner with stakeholders to identify opportunities for advanced analytics and AI adoption
• Apply strong data validation and quality checks with a keen eye for data accuracy and integrity
• Support ethical AI practices data privacy and governance standards
• Mentor junior data scientists and contribute to best practices

Required Skills & Competencies

• Strong proficiency in SQL and Python (or R)
• Hands-on experience with machine learning model development and deployment
• Experience with Generative AI / LLMs (prompting embeddings NLP use cases)
• Experience with CI/CD pipelines Airflow and workflow orchestration
• Strong experience with Power BI or similar visualization tools
• Excellent analytical and problem-solving skills with attention to detail
• Strong data intuition and ability to identify patterns anomalies and insights
• Ability to communicate complex analytical and AI concepts clearly
• Experience with version control (Git) and collaborative development
• Ability to work independently in ambiguous environments

Work Experience

• 3 years in data science advanced analytics or related field
• Proven experience building and deploying ML solutions in production
• Experience applying statistical analysis and predictive modeling
• Exposure to or hands-on experience with GenAI / LLM applications strongly preferred

Education

• Bachelors degree in Data Science Statistics Mathematics Computer Science or related quantitative field (required)

Preferred / Differentiators

• Experience with cloud platforms (AWS Azure or GCP)
• Experience operationalizing LLM solutions in production environments
• Familiarity with MLOps and model lifecycle management
• Passion for AI innovation and continuous learning

Other

• Must be able to travel occasionally should a business need arise. For most roles travel would not be common. Travel may involve plane car or accordance with ADA policies reasonable accommodations regarding travel limitations can be provided. Travel will be more common for roles such as Account Executives (25 - 50%) senior leaders (10 20%) or Capella Core Faculty (5 10%).
• Ability to work onsite in Corporate or Campus location (in a typical office environment) may be required based on role. If so this would include being mobile within the office including movement from floor-to-floor using elevators or stairs.
• If offsite or hybrid role must have access to work in setting which enables meeting all requirements of the role (including privacy reliable internet access phone ability to video conference etc.) at a remote location.
• Faculty and Federal Work Study roles require access to work in setting which enables meeting all requirements of the role (including computer privacy reliable internet access phone ability to video conference etc.) at a remote location.
• This role may require lifting however reasonable accommodations will be provided in accordance with our ADA policies.
• Must be able to meet critical thinking and problem solving aspects aligned to job duties as well as effectively communicating with co-workers.
• Must be able to work more than 40 hours per week when business needs warrant. Accommodations related to schedule may be considered.
• Able to access information using a computer.
• Other essential functions and marginal job functions are subject to modification.

SEI offers a comprehensive package of benefits to employees scheduled 30 hours or more per addition to medical dental vision life and disability plans SEI employees may take advantage of 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 as well as entertainment and retail discounts. Non-exempt employees are eligible for overtime pay if applicable.

Careers - Our Benefits Strategic Education Inc

SEI is an equal opportunity employer committed to fostering an inclusive and collaborative culture where individuals can grow their careers and contribute fully. We strive to attract talent with broad experiences skills and perspectives. We welcome applications from all. While it is not typical for an individual to be hired at or near the top end of the pay range at SEI we offer a competitive salary. The actual base pay offered to the successful candidate may vary depending on multiple factors including but not limited to job-related knowledge/skills experience business needs geographical location and internal pay equity. Our Talent Acquisition Team is ready to discuss your interest in joining SEI. The expected salary range for this position is below.

If you require reasonable accommodations to complete our application process please contact our Human Resources Department at .