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Director, Data Science & Engineering

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Information Technology
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184595 Requisition #
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Allergan Data Labs is on a mission to tap into the unreached potential of the medical aesthetics business. As part of at Allergan, one of the largest pharmaceutical companies in the world selling aesthetic brands including Botox, CoolSculpting, and Juvederm, our team is rebuilding and expanding the Allergan rewards and loyalty program. The medical aesthetics business is ripe for disruption and we’re building a high performing product engineering team to capitalize on the opportunity.

 

Our team is utilizing machine learning in an effort to more effectively and personally engage rewards program members. In its current state, this program services over 4 million users and is present in nearly 19,000 medical offices/spas in the U.S.

 

We are looking for a Director of Data Science & Engineering, someone to lead the development of AI platforms to support personalization, digital marketing, and beyond. In this role, you will lead and manage a team of 5-7 data engineers, data scientists, and analysts. If you are interested in working within a startup oriented environment while having the backing of a large company, this would be a desirable role for you.

 
You will:
  • Be a key driver in transforming the digital marketing capabilities to a personalized, customer centric model. This includes gaining an understanding of how the company’s data platforms operate today, defining the future vision, developing a roadmap for how to get there, and architecting the data platform (technical design experience required)
  • Demonstrate and communicate a passion for building the data foundation, products, and capabilities that drive business growth
  • Oversee the building of distributed, highvolume data products to power new solutions based on analytics and machine learning
  • Define requirements for tracking, tagging, and sourcing digital data across platforms and guide improved data gathering across platforms
  • Share technical solutions and product ideas with the broader team
  • Partner with the personalization strategy and innovation team to help accomplish the company’s business goals through your deep understanding of digital analytics and optimization
  • Lead and manage a team of 5+ including Data Engineers and Data Scientists
  • Relate to our core values (see below) and would like to contribute to a positive working environment and culture

Required Experience & Technical Skills:

  • Minimum of eight (8) years of combined experience, much of that time in tech, data science, or engineering
  • You have a minimum of three (3) years of experience leading teams and bringing together diverse functions and building teams that include data engineering and data science roles, guiding them through multiple successful projects
  • Well versed in machine learning, engineering, data systems, and statistical techniques
  • Strong experience in leading teams, managing projects, and business operations
  • Experience building distributed systems on either AWS/Azure/GCP
  • Excellent verbal and written communication skills, with the ability to clearly communicate with a team of technologists as well as with senior management and business executives
  • Comfortable working in a collaborative setting and working with senior business executives
 
 
Education:
  • Minimum of Bachelor’s degree or MS/PhD in a scientific field preferred and/or equivalent experience
  • Advanced degree in Computer Science, Statistics, Mathematics, Engineering or related area (preferred)
 

Allergan Data Labs Core Values:

  • Be Humble: You’re smart yet always interested in learning from others
  • Work Transparently: You always deal in an honest, direct and transparent way
  • Take Ownership: You embrace responsibility and find joy in having the answers
  • Learn More: Through blog posts, newsletters, podcasts, video tutorials and meetups you regularly self educate and improve your skill set
  • Show Gratitude: You show appreciation and return kindness to those you work with
 
Perks:
  • Competitive salary
  • Comprehensive medical, dental, vision and life insurance
  • 401k with up to 8% company match
  • Vacation / PTO
  • Entire week off for the holidays
  • Brand new MacBook Pro and accompanying equipment to do great work
  • Attend a tech conference of your choice each year
  • On-campus restaurant
  • On-campus gym, tennis court, basketball court and softball field
  • Discounts on Allergan products
 
 

The Allergan Data Labs team is led and comprised of technology and marketing experts with experience ranging from successful tech startups to large medical corporations. Please don’t be shy, we’d love to have you come by for a chat in our Irvine, CA offices if this opportunity piques your interest.

 
 

Allergan:  Allergan plc (NYSE: AGN) is a bold, global pharmaceutical company and a leader in a new industry model - Growth Pharma. Allergan is focused on developing, manufacturing and commercializing branded pharmaceutical, device, biologic, surgical and regenerative medicine products for patients around the world.


Allergan markets a portfolio of leading brands and best-in-class products for the central nervous system, eye care, medical aesthetics and dermatology, gastroenterology, women's health, urology and anti-infective therapeutic categories. With commercial operations in approximately 100 countries, Allergan is committed to working with physicians, healthcare providers and patients to deliver innovative and meaningful treatments that help people around the world live longer, healthier lives every day.

 

Allergan is a company that will inspire you to aim high with your ambition. Where you can build bridges all over the world. Where you can power ideas that drive change. And where you will act fast and drive results for customers and patients.  Power your future & join our bold team.

 
 
 

Equal Employment Opportunity Employer


Allergan is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other protected status.

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