Data Scientist II - Commercial Insights & Analytics

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.

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.

• Owes 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.

• 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.

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.
• 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.
• Able 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.
• Able to solve complex, unstructured problems with minimal supervision and to lead workstreams across cross-functional partners.
• Advanced Excel and PowerPoint skills required.

Pay

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.

Benefits

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.