Navitus - Putting People First in Pharmacy - Navitus was founded as an alternative to traditional pharmacy benefit manager (PBM) models. We are committed to removing cost from the drug supply chain to make medications more affordable for the people who need them. At Navitus, our team members work in an environment that celebrates diversity, fosters creativity and encourages growth. We welcome new ideas and share a passion for excellent service to our customers and each other.
Pay Range
USD $13.00 - USD $25.00 /Yr.
Work Schedule Description (e.g. M-F 8am to 5pm)
Monday - Friday 8:00am to 5:00pm
Overview
The Summer Intern supports the function of their designated department within Navitus, Lumicera or Epiphany.
Is this you? Find out more below!
Responsibilities
How do I make an impact on my team?
Mine, organize, and analyze large data sets to improve business decision-making, process efficiency, and strategic initiatives
Assess new data sources and techniques to ensure data accuracy and drive continuous improvement in data gathering processes
Develop and refine predictive models and algorithms to optimize customer experiences, enhance revenue generation
Utilize machine learning techniques to improve data quality, forecast future business outcomes, and drive continuous improvement across functional areas
Coordinate with cross-functional teams to implement data models and track performance, ensuring successful integration and monitoring of outcomes
Create tools and processes to consistently evaluate model performance and maintain high levels of data accuracy and integrity
Develop advanced data visualizations, including charts, graphs, and dashboards, to clearly communicate trends and business forecasts to stakeholders
Present data-driven recommendations to business leaders, translating complex data insights into actionable strategies for growth and optimization
Develop FAQs and reference pages for business users to access
Ensure documentation and applications comply with Navitus style guides and standards
Collaborate with cross-functional teams on documentation projects
Recognize, suggest, and assist with process improvements
Display critical thinking and problem-solving competencies
Assist with special projects
Assist with administrative tasks as needed
Other duties as assigned
Qualifications
What our team expects from you?
Has Bachelor of Science and working towards an advanced degree in Applied Statistics and Predictive Analytics
Proficient in writing efficient queries using SQL and familiar with noSQL databases for handling large datasets.
Proficiency in statistical programming languages (e.g., R, Python, PySpark) for manipulating and analyzing large data sets to derive actionable insights.
Understanding of machine learning techniques (e.g., clustering, decision trees, neural networks) and their practical benefits and limitations in real-world applications.
Versed in advanced statistical methods (e.g., regression analysis, distribution properties, statistical tests) and experience applying them to solve business problems.
Experience in statistical and data mining techniques, such as GLM/Regression, Random Forest, Boosting, Trees, text mining, and social network analysis.
Proven ability to develop and implement machine learning algorithms and statistical models, including regression, simulations, scenario analysis, clustering, and neural networks.
High school degree or equivalent required
Must be enrolled in an accredited 2 or 4 year college for the upcoming school year
Must have at least 1 year of coursework completed
Must be 18 years or older
Experience working in Microsoft Office suite, particularly Word, Excel, and PowerPoint preferred
The intern role is considered a learning opportunity and as such, no specific experience is required. Preference may be given to candidates with work experience or education paths determined desirable by the department each intern supports
Participate in, adhere to, and support compliance program objectives
The ability to consistently interact cooperatively and respectfully with other employees
