Senior Data Scientist
September 16
Description
• Scope potential AI/ML initiatives that deliver impact for our university partners, for students, and for our business • Drive AI/ML experimentation by gathering data, designing alternative analytical approaches, building models, and communicating results • Identify opportunities to trial new technologies or tools within our business, ensuring our advanced analytics "toolkit" leads our peers • Partner with Strategy Analysts within our team and operational leaders across the organization to operationalize the advanced analytics tools you build • Establish counseling relationships with colleagues across the business from the frontline through executive leadership • Develop our team through mentorship and apprenticeship of your immediate teammates, and analytics professionals outside of our team
Requirements
• Must be able to demonstrate organizational impact of data science • Bachelor’s degree in a technical discipline, such as computer science, econometrics, mathematics, or engineering. • A Master’s degree or PhD is a bonus, but not necessary • 2 - 4 years of professional experience delivering advanced analytics • A proven track record of delivering AI/ML experiments and operationalized tools • Experience as a workstream leader, scoping, designing, and managing the implementation of AI/ML projects • Expertise in established advanced analytics approaches and technology • Comfort working with data and analytics tools (e.g., SQL, Python, Azure Synapse, Databricks) • Great collaboration and communication abilities, especially when communicating the results of a data science experiment • Familiarity with the education industry gives you a great springboard, but is not necessary
Benefits
• 18 days PTO + Winter Shutdown • 12 designated holidays + 1 floating holiday • Medical – four options • Dental • Vision • Life & Disability (company paid) • Flexible Spending Account & Health Savings Account • Retirement plan with company match • Maternity / Paternity / Parental Leave (company paid) • Volunteer Time Off • Wellness program • Alternative medicine options • Pet discounts • Accident, Critical Illness and Hospital Indemnity • Continuous Professional and Leadership Development Programs • Tuition Reimbursement for employees and their dependents • Rewards & Recognition programs
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