Data Scientist II – Commercial Insights & Analytics Full-time NEW

Data Scientist II – Commercial Insights & Analytics

Facility: Data & AI Location: Plainsboro, NJ, US

About the Department: 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?

The Position: 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 and analytics 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 consultants and partners, to lead the design, development and deployment of advanced data and analytics solutions to critical business questions. Applies statistical and machine learning methods – including those powering Next Best Engagement (NBE) and omni-channel orchestration – to deliver solutions leveraging internal and syndicated commercial datasets such as Xponent Plantrak, LAAD, Experian, Veeva, ICM and others. Partners with Novo Nordisk commercial functions to help measure and optimize promotional investments, inclusive of marketing mix, test & control, NBE suggestion performance, 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, extended brand teams and other Marketing stakeholders, Omni-channel & Enterprise Insights, and the Next Best Engagement (NBE) cross-functional team (Brand, Field, Omnichannel Orchestration, MLOps). External relationships include secondary data vendors, orchestration platform partners (e.g., Veeva, Salesforce/Marketing Cloud) and consultants. Senior-level (VP and higher) exposure through presentations on stakeholder targeting, NBE model performance, impact analysis and other related topics.

Essential Functions: Leads, with ED&AA team members, F&O colleagues, and/or LoB stakeholders, the definition of advanced analytics / ML opportunities, determining appropriate datasets and algorithms, identifying patterns and formulating solutions, experimenting and delivering production-grade analytics and models. Owns end-to-end delivery of Next Best Engagement (NBE) data science work-streams – including suggestion/recommendation models, uplift and propensity models, channel sequencing, and HCP-level decisioning – partnering with IT/MLOps to operationalize models in orchestration platforms (e.g., Veeva CRM Suggestions, Salesforce Marketing Cloud). Designs and executes causal measurement frameworks (test vs. control, A/B testing, holdouts, quasi-experiments) to quantify the incremental impact of NBE suggestions, marketing mix investments, HCP targeting and promotional programs; presents results 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, patient analytics, HCP targeting, PLTV, HCP analytics, NBE suggestion performance, and related topics in support of our commercial and enabling functions. In collaboration with ED&AA colleagues, IT, and external resources, supports the development of infrastructure for promotional impact assessment and NBE model lifecycle management – including more predictive/efficient modelling techniques, reusable data pipelines, reusable 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, ICM, 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 other 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.

Physical Requirements: Up to 10% overnight travel required.

Qualifications: Bachelor 's degree in Math, Computer Science, Statistics, or related field required; MS or MBA preferred. A minimum of five (5) years relevant experience in data science, ROI analytics, business analysis, sales analysis, forecasting, quantitative finance, or other related areas, with prior experience in the pharmaceutical manufacturing or closely related industry strongly preferred. Appropriate educational background may be substituted for some experience. Demonstrated experience designing, deploying and maintaining production machine-learning solutions – ideally Next Best Action / Next Best Engagement, recommender systems, uplift / propensity, or HCP targeting / segmentation / persistency models – in an orchestration or omni-channel context. Advanced statistical and programming experience required, with demonstrated application in HCP targeting, HCP segmentation, persistency / retention modeling, and causal / experimental measurement (test & control, A/B, holdout design). 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, ICM); demonstrated experience analyzing and managing large structured/unstructured datasets to generate insights is essential. Experience with leading data and visualization platforms 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 NBE 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. Advanced Excel and PowerPoint skills required.

The base compensation range for this position is $99,600 to $155,400. Base compensation is determined based on a number of factors. This position is also eligible for a company bonus based on individual and company performance. Novo Nordisk offers long-term incentive compensation and or company vehicles depending on the position's level or other company factors. Employees are also eligible to participate in Company employee benefit programs including medical, dental and vision coverage; life insurance; disability insurance; 401(k) savings plan; flexible spending accounts; employee assistance program; tuition reimbursement program; and voluntary benefits such as group legal, critical illness, identity theft protection, pet insurance and auto/home insurance. The Company also offers time off pursuant to its sick time policy, flex-able vacation policy, and parental leave policy. We commit to an inclusive recruitment process and equality of opportunity for all our job applicants. At Novo Nordisk, we're not chasing quick fixes – we're creating lasting change for long-term health. For over 100 years, we've been driven by a single purpose: to defeat serious chronic diseases and help millions of people live healthier lives. This dedication fuels our constant curiosity and inspires us to push the boundaries of what's possible in healthcare. We embrace diverse perspectives, seek out bold ideas, and build partnerships rooted in shared purpose. Together, we're making healthcare more accessible, treating and defeating diseases, and pioneering solutions that create change spanning generations. When you join us, you become part of something bigger – a legacy of impact that reaches far beyond today. Novo Nordisk is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, gender identity, sexual orientation, national origin, disability, protected veteran status or any other characteristic protected by local, state or federal laws, rules or regulations.