Data Science Intern

StoneRidge Senior Living Community offers a full-time, 12-week Data Science Internship providing hands-on experience in a mission-driven senior living organization. The intern will support analytics initiatives by developing dashboards and analytical solutions, using SQL, Python, and Power BI, collaborating across analytics and business teams, and presenting project results to senior leadership.

What you'll do:

• Help LCS continue to activate our analytics strategy by working on key business problems that deliver results and delight our residents
• Gain hands on experience working with our cloud analytics platform to build a variety of analytical solutions such as dashboards, models, casual interference and more
• Build technical skills using SQL, Python, and Power BI while also getting the opportunity to communicate your findings to internal business partners
• Partner closely with other analytics roles such as data engineering, data science, data analysis, and data governance
• Collaborate with leaders and team members across departments
• Participate in professional development and networking opportunities
• Present your project and summer experience to the senior leadership team at the conclusion of the internship
• Gain a broad understanding of our industry and operations through mentorship, training, and shadowing opportunities

What they're looking for:

• Currently enrolled in a college or university program
• Curiosity and drive to dig deep into disparate data sources
• Strong technical skills with the ability to learn new tools quickly
• Strong communication, problem solving, and collaboration skills
• Eagerness to learn and contribute to a mission-driven organization

Benefits:

• Participate in professional development and networking opportunities
• Gain a broad understanding of our industry and operations through mentorship, training, and shadowing opportunities
• Mentorship and exposure to senior leadership
• Opportunities for networking and career development
• Hands-on experience in a professional environment
• Meaningful project work that makes an impact