Global Data Science Manager

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

What you'll be doing:

• Serve as a key team member on the Advanced Data Science arm of the Global Business Analytics team, working in close partnership with the Digital Transformation and Wining with Data Global Commercial Capability teams and becoming a trusted partner to Global, Area and Affiliate leadership, ensuring data and digital strategy and key deliverables reflect advanced data science best practices.
• Develop 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 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.
• Proactively identify new data science approaches that would improve our ability to answer commercial business questions by closely collaborate with key stakeholders to transform business questions to algorithms and further support the business needs
• 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, including technical guidance with respect to replication and scaling
• Provide data science thought leadership in the Digital Transformation and Winning with data Capabilities strategic planning processes based on a deep understanding of advanced data science best practice approaches and their application to AbbVie’s commercial data to address business needs
• Ensure Advanced Data Science components and projects he/she is involved with for Digital Transformation and/or Winning with Data activities are conducted on time, accurately, within budget, and in accordance with financial and ethical compliance guidelines.

Qualifications:

Your skills and 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.
• Minimum of 4 years of applied data science and fields such as data engineering and predictive modeling or strong academic background in Statistics, Mathematics, Physics, Computer Science or Computer Engineering
• 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.