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Hybrid Data Scientist Data Scientist
Academic Partnerships · United States Of America · Hybrid
About the job
You'll be joining the Data Analytics team within Academic Partnership's Strategy function. Our team advances the organization's mission by:
- Partnering with our university clients to identify student experience and university value proposition improvements through a mix of advanced analytics, benchmarking, and thought partnership
- Partnering with operational leaders to implement analytics & data science innovations that improve student experiences and operational efficiencies
- Establishing our advanced analytics capabilities as the benchmark for the industry
The essential functions of this role are as follows:
- 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 Business 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
What You’ll Need For Success
You must meet the following requirements to be considered for employment:
- 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.
- At least 2 years of experience delivering advanced analytics in a professional setting.
- 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
Academic Partnerships Offers The Following Comprehensive Benefits
- PTO – accumulated from day one
- 11 designated holidays
- Medical – four options (including PPO and HDP)
- Dental
- Vision
- Life & Disability (company paid)
- Flexible Spending Account & Health Savings Account (company contribution to HSA)
- 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