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# Data Scientist II - Advanced Analytics

- **Company:** NovoNordisk
- **Location:** Plainsboro Township, NJ, United States
- **Experience:** Expert
- **Salary:** $99,000.0 - $141,000.0
- **Contract:** Permanent contract
- **Skills:** A/B Testing, Artificial Intelligence, Business Analytics Applications, Data Analysis, Code Review, Computer Programming, Programming Tools, Github, R (Programming Language), Monitoring of Systems, Python (Programming Language), Machine Learning, Salesforce.Com, SAS (Software), SQL Databases, Tableau (Software), Unstructured Data, Enterprise Data Management, Software Repository, Qliksense, Large Language Models, Snowflake, Git, Information Technology, Plotly, Machine Learning Operations, Dataiku, Veeva, Software Version Control, Data Pipelines, Marketing Cloud
- **Published:** September 2, 2026
- **Apply:** https://www.biospace.com/logon?PipelinedPage=%2Fjob%2F3071910%2Fdata-scientist-ii-advanced-analytics%3FAction%3DContinueJobApplication%23application-form

## About the Role

Bachelor 's degree in Math, Statistics, Data Science, Computer Science, or related field required; MS or MBA preferredA minimum of five (5) years relevant experience in data science, ROI analytics, business analytics, sales analysis, forecasting, quantitative finance, or other related areas, with prior experience in the pharmaceutical industry or closely related industry strongly preferred. Appropriate educational background may be substituted for some experience.Demonstrated experience designing, deploying and maintaining production advanced analytics and machine-learning solutions, including classification, propensity modeling, anomaly detection, HCP targeting, penetration and utilization modeling, or similar approaches supporting NBE, omni-channel orchestration, claim integrity, and other commercial analytics use cases.Advanced statistical and programming experience required, with demonstrated application in HCP targeting, HCP segmentation, patient persistency / retention
modeling, claim integrity analytics, and causal / experimental measurement.Proficient in two or more programming tools such as Python, R, SQL, SAS, etc., and demonstrated ability to learn new analytical and programming techniques required.Experience with IQVIA datasets and other industry sources preferred (e.g., Xponent Plantrak, LAAD, Experian, Veeva, MMIT); demonstrated experience analyzing and managing large structured/unstructured datasets to generate insights is essential.Experience with leading data science, AI or visualization platforms, tools, and capabilities highly desirable - e.g., Dataiku, Snowflake, Tableau, Qlik Sense, Plotly Dash, ggplot, etc.Experience with version control systems (e.g., Git, GitHub), including collaborative development, code versioning, and reproducible analytics workflows; experience with CI/CD pipelines and MLOps automation frameworks preferred.Strong written and verbal communications skills. Demonstrated experience presenting complex
analytics and model results to senior-level audiences and translating them into business action.Ability to collect and synthesize complex information, making it relevant, understandable and actionable for key stakeholders. Able to tell stories around data and analytics that resonate with key stakeholders.Ability to solve complex, unstructured problems with minimal supervision and to lead workstreams across cross-functional partners.

## Description

The Finance & Operations department brings insights and intelligence to inform decision making & drives digitalization and business solutions to attain NNI goals. Finance & Operations works closely across the organization to guide enterprise-wide resource allocations, investment choices, drive core operations and develop insights to drive growth and operational excellence across the value chain while innovating for future capabilities. Our focus on innovation ensures we're constantly building future capabilities. We're responsible for regulating accounting, upholding workplace safety, managing our supply chain and sampling, supporting technological and data innovation, maintaining our facilities and assuring the integrity and completeness of all business transactions. At Novo Nordisk, you will have the opportunity to build a career in a global business environment. We encourage our employees to make the most of their talent, and we reward hard work and dedication with opportunities for
continuous learning and personal development. Are you ready to maximize your potential with us?, As a member of the Enterprise Data & Advanced Analytics team within Finance & Operations, collaborates with team members and other F&O and IT departments to deliver advanced data analytics and AI solutions to NNI Commercial Stakeholders, to the benefit of patients, prescribers and other stakeholders. Works across the F&O organization, with stakeholders across the broader NNI organization and applicable external consultants and partners, to lead the design, development and deployment of advanced data analytics and AI solutions to critical business questions. Applies statistical and machine learning methods to deliver solutions for commercial operation at NNI including Next Best Engagement (NBE), omni-channel orchestration, HCP targeting, and claim integrity analytics leveraging internal and syndicated commercial datasets such as Xponent Plantrak, LAAD, Experian, Veeva, MMIT and others. Partners with Novo Nordisk commercial functions to help measure and optimize promotional investments,
detection of anomalous claim transaction, test & control, NBE suggestion performance, HCP penetration and utilization model, and promotional targeting initiatives. Provides technical leadership and mentorship to more junior data scientists across the team.

Relationships

Member of the Advanced Analytics team within the Enterprise Data & Advanced Analytics (ED&AA) department, in Finance & Operations, reporting to a Director-level manager (depending on specific assignment).

Internal relationships include directors and members of other F&O teams, Commercial Operations, IT, Marketing brand leads, Omni-channel & Enterprise Insights, Market Access, and the Next Best Engagement (NBE) cross-functional team (Brand, Field, Omnichannel Orchestration, MLOps). Senior-level (VP and higher) exposure through presentations on HCP targeting, NBE model performance, claim integrity analytics, impact analysis, and other related topics.

External relationships include secondary data vendors, orchestration platform partners (e.g., Veeva, Salesforce/Marketing Cloud), and consultants.

Essential Functions
Leads, with ED&AA team members, F&O colleagues, and other commercial stakeholders, the definition of advanced analytics and AI opportunities, determining appropriate datasets and analytical approach, identifying patterns and formulating solutions, experimenting and delivering production-grade analytics and models that address commercial business questions.Designs and executes causal measurement frameworks (test vs. control, A/B testing, holdouts, quasi-experiments) to quantify the incremental impact of NBE suggestions, omni-channel interventions, HCP targeting strategies, and promotional investments; defines appropriate business and model-performance metrics and presents results and actionable recommendations to senior leadership.Collaborates with internal and/or external resources (i.e., consultants and partners) to define and deliver innovative data and analytics solutions in response to business requirements and priorities. Areas of focus include promotional impact analytics,
HCP penetration and utilization modeling, HCP targeting, claim integrity analytics, anomalous claim transaction detection, NBE suggestion performance, omni-channel orchestration, patient analytics and related topics supporting commercial and enabling functions.Leads, in collaboration with ED&AA, Market Access, Pricing & Contracting, Rebate Operations, and IT, the development and operationalization of claim integrity analytics workflows, including product management, effective statistical, machine-learning, and AI-enabled approaches, reproducible pipelines, reusable code repositories, and dashboard-based reporting and monitoring capabilities.In collaboration with ED&AA colleagues, IT, and external resources, supports the development of infrastructure for promotional impact assessment and model lifecycle management - including predictive/efficient modelling techniques, reusable data pipelines and code repositories, model monitoring/retraining workflows, and dashboard/PPT-based
reporting infrastructure.Works with other ED&AA team members, IT, and data engineers to acquire and transform datasets (e.g., NPP, LAAD, Veeva, MMIT, Experian) that deliver critical business insights. Defines and creates metrics that can be leveraged by ED&AA and Enterprise Insights analysts to deliver insights to their stakeholders.Applies advanced data science and statistical analysis in support of organization-wide projects and programs; explores and evaluates new data-driven approaches, including emerging GenAI / LLM techniques where relevant.Provides technical guidance, code review and QC oversight to more junior team members (onshore and offshore) and to colleagues in ED&AA areas in the use and delivery of analytics and analytical tools; mentors others on NBE best practices and responsible AI.Communicates findings and recommendations to non-technical stakeholders via clear visualizations, written narratives and presentations, with a strong ability to translate
highly technical work into simple, engaging stories that drive action at senior-leadership levels.Drives advanced analytics projects from concept through delivery by aligning business SMEs, ED&AA, IT, and external partners on priorities, requirements, deliverables, timelines, and measures of success.


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