Data Scientist

Toronto, ON

• Function: Commercial
• Job Type: Full-time

Job ID: R00132367
Company Description
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.
Job Description

JOB DESCRIPTION

The Data Scientist provides technical expertise in Advanced/Predictive/Prescriptive Analytics. Key responsibility is to help design, develop and scale Data Science projects. For this role, one should be highly analytical with a love and high affinity for analysis, math, and statistics. The Data Scientist is not only skillful in quantitative methodologies and programming (holding themselves to a high standard for coding best practices), but also has keen business acumen. One should have a passion for analysis, data exploration, machine-learning, and out of the box thinking. Utilization of related technical skills and methodologies and strive to remain abreast of leading-edge data science technologies.

QUALIFICATIONS

• Bachelor’s degree in computer science, statistics, mathematics, physics, economics, finance, engineering, machine learning or related field
• Minimum of 4 years of applied data science and fields such as data engineering and predictive modelling or strong academic background in statistics, mathematics, physics, or computer science
• Master of Science degree or higher in computer science, statistics, mathematics, physics, economics, finance, engineering, machine learning or related field preferred.
• Pharmaceutical industry experience preferred.

SKILLS

• Passion for learning and innovating new methodologies at the intersection of big data, applied math / probability / statistics and computer science.
• Proficient in translating unstructured business problems into an abstract mathematical framework.
• Ability to communicate the results of analyses in a clear and effective manner using visualization tools.
• Great interpersonal and communication skills, including the ability to describe the logic and implications of a complex model to all types of partners (product managers, engineers, designers, senior executives).

SYSTEMS/TOOLS REQUIRED:

• Python, Pandas, Scikit Learn, PySpark, SQL, Big Data experience
• Palantir Foundry experience preferred (Contour, Quiver, Workshop, Slate, Code repository)
• Power BI
• Microsoft Office
  AbbVie is an equal opportunity employer and encourages women, Aboriginal people, persons with disabilities and members of visible minorities to apply.
  Additional Information
  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.htm

• Develop innovative predictive models that are reliable, scalable, and modular and drive to business relevant outcomes.
• Support ad hoc data requests from business users that will enhance productivity and efficiency to drive greater business performance.
• Maintain, optimize, scale, and operationalize existing machine learning models in concert with key partners such as global, Advance Customer Experience team, BTS, project managers, and external vendors/partners.
• Utilize data sets of varying degrees of size and complexity and develop novel ways to build 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.
• Apply your AI/ML/Deep Learning expertise to deliver advanced analytics models for key business projects all along the value chain: exploration, design, implementation and industrialization of data science models and products.
• Create, maintain, and improve reports and visualizations to enable greater insights and allow stakeholders to make informed business decisions.
• Perform exploratory analysis, provide data extracts, and support business critical operations.
  Qualifications