As a Data Scientist II on the Advanced Analytics team, you will have the opportunity to:
Scale positive business results through the use of big data, ML modeling, ad hoc analysis, and proactive consulting.
Improve business effectiveness and operational productivity.
Support academic success for our students through the applied use of advanced analytics, and help to identify, pilot and test initiatives for prospects, students, and faculty that drive improved academic outcomes and achievements.
Help educate business partners on new capabilities and identify insights to improve business results.
Cultivate strong business partnerships through understanding of business priorities and objectives and proactive consultation.
Guide and support less experienced data scientists.
Essential Duties & Responsibilities

• Assemble and analyze large data sets from multiple sources. Preferably in a cloud-based infrastructure
• Able to frame-up ad hoc analysis to address business objectives
• Able to independently build and deploy enterprise grade Machine Learning models
• Produce predictive model documentation and monitoring protocols
• Presents findings from analyses, including insights and implications, to both technical and non-technical stakeholders
• Prepare and provide detailed and high-quality analytical reports and relevant insights to the larger organization that will assist in business decisions
• Able to generate data visualizations, like PowerBI dashboards, to track key performance indicators (KPIs)
• Able to identify opportunities and leverage predictive models to enhance business performance and boost productivity

Job Skills

• Proficient in SQL and at least one of the following programming languages (Python or R)
• Experience using source control (e.g., GIT) and other team-based software engineering tools
• Experience with the process of deploying ML models, including CI/CD, Airflow, and DAGs
• Creative thinker and problem-solver who can effectively collaborate across teams and functions
• A comprehensive understanding of Gen AI techniques and their applications
• Ability to summarize and present information that provides insights and interest
• Strong communication skills - both verbal and written

Work Experience

• 3 years in an analytics role with hands-on experience developing and deploying predictive models using machine learning techniques and conducting statistical analyses.

Education

• Bachelor's degree in a quantitative field like Data Science, Statistics, Applied Mathematics or Econometrics required

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 metro. In 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 is an Equal Opportunity employer committed to a diverse and inclusive community. 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 and benefits package. 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.

$92,700.00 - $139,100.00 - Salary
If you require reasonable accommodations to complete our application process, please contact our Human Resources Department at Careers@strategiced.com.