Data Scientist Full-time

Data Scientist

AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas – immunology, oncology, neuroscience, and eye care – and products and services in our Allergan Aesthetics portfolio.

We are seeking a curious, creative, and business-oriented Data Scientist to join our team, reporting to the CEx Data Excellence Lead.

Scope:

• Design and deliver advanced analytics, accelerating AbbVie's objective to be a leading force in data-driven decisions;
• Raise the bar in the company's business decisions (data-driven), while also spreading best practices and commercial excellence across BU's & brands.
• Communicate complex analyses clearly to stakeholders, supporting strategic business decisions.
• Maintain and operationalize machine learning solutions, collaborating with Commercial teams, BTS, Global/Area CEx stakeholders.

Main responsibilities:

• Develop and Manage innovative predictive models that are reliable, scalable, and modular and drive to business relevant outcomes.
• Maintain, optimize, scale, and operationalize existing machine learning models in concert with key partners such as the affiliates, international digital transformation team, BTS, and external vendors/partners.
• Utilize data sets of varying degrees of size and complexity and develop novel way to create creative predictive analytic solutions to work around data limitations.
• Work with stakeholders to define business questions, requirements, timelines, objectives, and success criteria for data science initiatives.
• Work closely with Business Technology Solutions (BTS) colleagues to ensure smooth transition of pilots into production.
• Ensure Advanced Data Science components and projects conducted on time, accurately, within budget, and in accordance with all guidelines.
• Actively represent Italy in the International CEx WWD Data Scientist Community & Events (internal and external).

Qualifications:

• BS degree required, with demonstration and focus in applied data science, in Statistics, Engineering, Operations Research, Computer Science or Economics. Desirable: Advanced degree (Masters, PhD) in Statistics, Math, or Computing Science
• Portfolio of work demonstrating data science applications (e.g. via GitHub/publications), including some or all of the following languages: Pyspark (highly desirable) and Python along with data science applications (e.g. via GitHub/publications). Desirable: Expertise in other languages such as R, Java, C (C++, C#). ·
• Desirable: Knowledge and usage of recommendation, clustering, segmentation algorithms, mix modeling, forecasting, optimization.
• Desirable: Previous knowledge working in Foundry is a plus
• 4+ years relevant experience with a proven track record of leveraging machine learning or AI to drive significant business impact.
• Experience developing and executing data science to address key business questions with positive, measurable outcomes.
• Experience analyzing and drawing insights from key internally generated and external data sets
• Analytical reasoning abilities, intellectual curiosity, strong business acumen, and creativity in problem solving · Ability to interact effectively with/present to (verbally and in writing) all levels of the organization
• Ability to be agile & nimble to changing business conditions, strong collaboration, and teamwork across functional groups to contribute to a productive work culture.
• Lead strategically and create trust and respect within the department.
• Fluency in both written and spoken English is essential for effective communication and collaboration in a multinational environment.

AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community.  Equal Opportunity Employer/Veterans/Disabled.

US & Puerto Rico only – to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html

US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:

https://www.abbvie.com/join-us/reasonable-accommodations.html

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Pay Range: $-

Where We Work

Role is primarily site- or office-based but can occasionally be performed remotely. Employees who are site/office-based and can occasionally perform their role virtually work both in the office and remotely*, following the policies and regulations in place at their location. US Employees must be in the office on Tuesday, Wednesday, and Thursday with flexibility to work remotely on Mondays and Fridays. Three days in the office is the minimum; some individuals or teams may require more in-office days due to meetings, business/project needs or their role.