Data Scientist

Key Skills

Aartificial intelligence, Big Data Technology, Data science techniques, Deep Learning, Design, Effective communication skills, Machine learning techniques, Microsoft Office suites, Pandas, PowerBI, PySpark, Scikit-learn, SQL

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.

Main Responsibilities

• 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 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 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.
• 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.

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

Skills & Qualifications

• 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
• MS degree or higher in computer science, statistics, mathematics, physics, economics, finance, engineering, machine learning or related field preferred.
• Passion for learning and innovating with 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).

AbbVie is an equal opportunity employer and encourages women, Aboriginal people, persons with disabilities and members of visible minorities to apply.

AbbVie is committed to operating with integrity, driving innovation, transforming lives, serving our community, and embracing diversity and inclusion. It is AbbVie’s policy to employ qualified persons of the greatest ability without discrimination against any employee or applicant for employment because of race, color, religion, national origin, age, sex (including pregnancy), physical or mental disability, medical condition, genetic information, gender identity or expression, sexual orientation, marital status, status as a protected veteran, or any other legally protected group status.