Associate Director, Data Science

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 @abbvi on Twitter, Facebook, Instagram, YouTube and LinkedIn. 

We are currently seeking a highly skilled Data Scientist to lead a talented team responsible for analyzing large amounts of raw information to find patterns that will help improve the data to insights journey for our US Commercial Organization. In this pivotal role, you will be responsible for training and developing Abbvie’s commercial data scientists to build sophisticated data products that extract valuable business insights and drive efficient and effective communication with doctors and patients. This role demands exceptional analytical capabilities, a strong background in mathematics and statistics, and the ability to think critically and solve complex problems as well as simplify complex communications for a wide variety of senior leaders. A genuine passion for machine learning and a commitment to continuous research are also essential. Join us on this professional journey and make a profound impact in Abbvie’s mission to improve patient’s lives.

What you’ll be doing:

The Associate Director of Commercial Data Science will be responsible for leading a team that’s designing, executing and socializing analytical solutions to business problems across Abbvie. You will guide data scientists to apply statistics, machine learning, and operations research techniques to enhance efforts in generating revenue, driving efficiencies, identifying cost savings, and developing products. You will work closely with business stakeholders and technical partners across the organization 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 and a strong desire to build talent, design successful organizational structures, implement best practices, and drive the successful application of machine learning in the commercial space. The ability to work in a diverse team and the willingness to learn are key to this role, as is the ability and desire to communicate wins and opportunities for leadership.

Core Job Responsibilities:

• Lead a team of 4 or more data scientists, including recruitment, onboarding, training, and development.
• Ensure data scientists within the team have the skills, training, and tools to construct and develop predictive models that are reliable, scalable, and modular.
• Consult with stakeholders to define business questions, requirements, timelines, objectives, and success criteria that enable durable utilization of machine learning
• Report, visualize and communicate results to business stakeholder up to and including GMVPs on a regular basis.
• Approve and enhance existing machine learning models built by the core team.
• Develop a plan to put machine learning models into production at scale.
• Adopt new tools/techniques to increase performance, automation, and scalability.  Design and define approach to scale and operationalize models for machine learning.
• 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)
• Team will 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

• Masters’ degree required in quantitative fields such as Statistics, Engineering, Operations Research, Computer Science or Economics. PhD is a plus.
• 9+ years’ progressive business experiences in marketing analytics, database marketing, data engineering and predictive modeling or strong academic background.
• Strong algorithmic design skills. Execute analytical experiments methodically while outputting reproducible research.
• Expert-level 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.  
• Experienced with advanced machine learning models using scikit-learn, Keras, or other machine learning frameworks.
• People management experience preferred.
• 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​

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