Principal Research Scientist - Data

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. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on Twitter, Facebook, Instagram, YouTube and LinkedIn. 

We are looking for a Principal Data Scientist to lead a team that will analyze large amounts of raw information to find patterns that will help improve the data to insights journey for our US Organization. We will rely on your team to build data products to extract valuable business insights. In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We want to see a passion for machine-learning, research, and developing a team of talented data scientists. Your goal will be to help our enterprise service organizations analyze trends to make better decisions across a portfolio of model assets.

What you’ll be doing:

The Principal Data Scientist of Enterprise Services will be responsible for designing, executing, and socializing analytical solutions to challenges across Abbvie’s enterprise services organizations both as a manager as well as a “hand’s on” contributor. You will apply statistics, machine learning, and operations research techniques to enhance efforts in driving efficiencies, identifying cost savings, and developing products. You will work closely with IT and business stakeholders to develop analytical tools and foster the practice of data science. A candidate for this position should not only be skillful in quantitative methodologies and programming, but also have keen business acumen. Experience with reanalyzing previously existing data sets and tables in order to repurpose them for new use cases. Ability to work in a diverse team and the willingness to learn are key to this role.

Core Job Responsibilities:

• Lead a team of 1-3 data scientists dedicated to enterprise services, including recruitment, onboarding, training, and development.
• Work with stakeholders to define business questions, requirements, timelines, objectives, and success criteria. 
• Develop and implement methods for extracting patterns and correlations from both internal and external data sources using machine learning toolkits.
• Construct and develop predictive models that are reliable, scalable, and modular.
• Maintain and optimize existing machine learning models.
• Develop plan to put machine learning models into production.
• Adopt new tools/techniques to increase performance, automation, and scalability.
• Report, visualize and communicate results to internal stakeholders on a regular basis.
• Actively participate and establish a “test and learn” team environment with a clear prioritized plan that is designed to create a bias for action (fail fast/often).
• Examine relevant data and quickly develop an analytics plan that will answer key business questions and create value for clients.
• Work with data sets of varying degrees of size and complexity, including both structured and unstructured data.
• Transform data into actionable insights and recommendations. Present clear and concise results. This includes processing, cleansing, and verifying the integrity of data used for analysis.
• Develop analytical solutions by using and applying appropriate methodology – including, but not limited to, regression, forecasting, clustering, decision trees, simulation, optimization, machine learning, and neural networks.
• Design and define approach to scale and operationalize models for machine learning.

• Masters’ degree required in quantitative fields such as Statistics, Engineering, Operations Research, Computer Science or Economics. PhD is a plus.
• 8+ years’ progressive business experiences in marketing analytics, database marketing, data engineering and predictive modeling or strong academic background.
• Ability to develop advanced machine learning models using scikit-learn, Keras, or other machine learning frameworks.
• Strong algorithmic design skills. Execute analytical experiments methodically while outputting reproducible research.
• Demonstrated proficiency in Python, R, SQL, Relational databases (Teradata, Oracle etc.), BI tools (Power BI, Qlik Sense) and IDEs like Jupyter, with experience in leveraging available packages and libraries to accelerate time to market.
• Experience with big data technologies like Hive, Impala, Hue etc.
• Experience in Pharmaceutical datasets like patient claims and syndicated data from IQVIA (IMS) and Symphony Health Solutions a big plus.
• Strong problem solving and interpersonal skills and ability to work as part of a diverse team including IT and Line of business analytics teams.
• Bring a strong entrepreneurial spirit and ability to think dynamically.
• Strong communication skills, written and verbal.
• Project management experience; solid attention to detail and operational focus.

Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: ​

• The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future.​

• We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.​

• This job is eligible to participate in our short-term incentive programs. ​

• This job is eligible to participate in our long-term incentive programs​

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Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law. ​

AbbVie is an equal opportunity employer and 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.

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