Heading
East Hanover, NJ
Internship
Onsite
$34/hr - $34/hr
Intern
Novartis is a healthcare company that provides solutions to address the evolving needs of patients worldwide. The Summer External Student Worker in Data Science will deliver data-driven insights to enhance patient and healthcare provider experiences, utilizing machine learning and behavioral science. This role involves conducting data analysis, developing predictive models, and collaborating with analytics teams to improve patient support programs.
Apply NowResponsibilities
- Understand business priorities/challenges and translates into data performance metrics and advanced predictive analytics / machine learning for franchise product support
- Conduct exploratory data analysis. Assists in designing experiments and tests hypotheses. Applies advanced statistical and predictive modeling techniques to build, maintain and improve real-time decision-making
- Refine the approach to connecting NPS KPIs to develop implications for the overall business, deriving marginal ROI and helping leadership invest strategically
- Leverage design thinking and behavioral science to identify patient/HCP barriers and assist the team to design “nudges” to overcome these barriers
- Understand the different therapeutic businesses & provide data driven recommendations to improve design of patient support programs by simulating impact of different variables
- Improves understating of voice of the customer (VOC) using text mining techniques to gauge customer sentiment & provide actionable training opportunities to the NPS customer facing teams
- Manage communications in partnership with the Director/Assoc. Director Analytics & Effectiveness colleagues to key stakeholders inside the organization
Qualification
Required
- Candidate should be in an accredited degree-granting college or university pursuing a graduate degree.
- Major in quantitative subject (e.g., Data Science, Statistics, Economics, Behavioral Science, Social/Life Sciences) strongly preferred.
- Fluent in English (oral and written).
- Expertise and significant experience with statistical and data manipulation software (e.g., R, Python, SAS, Alteryx/Dataiku, SQL) and data visualization tools (e.g., Tableau, Spotfire).
- Experience with Mathematics and Signal Analysis.
- Expertise with machine learning techniques (supervised and unsupervised).
- Experience with end-to-end machine learning methodology i.e. hypothesis creation, feature selection, feature engineering, model selection, training, validation, deployment and monitoring.
- Excel in problem solving and strategic thinking.
- Develop innovative, resourceful solutions to complex, unstructured problems.
- Excellent written and verbal communication skills, and strong interpersonal skills.
- Strength in translating complex, technical analyses into clear and actionable recommendations for business stakeholders.
Preferred
- Experience with AutoML.
- Experience with Text Analytics.
- Background in marketing analytics or a decision/behavioral science.
- Experience applying design thinking principles.
- Willingness to work in a fast-paced and action-oriented environment.
Benefits
- Health
- Dental
- Vision
- 401k