JOB DESCRIPTION:

About Abbott

Abbott is a global healthcare leader, creating breakthrough science to improve people’s health. We’re always looking towards the future, anticipating changes in medical science and technology.

Working at Abbott 

At Abbott, you can do work that matters, grow, and learn, care for yourself and family, be your true self and live a full life. You will have access to:

• Career development with an international company where you can grow the career you dream of .
• A company recognized as a great place to work in dozens of countries around the world and named one of the most admired companies in the world by Fortune.
• A company that is recognized as one of the best big companies to work for as well as a best place to work for diversity, working mothers, female executives, and scientists.

The Opportunity 

Abbott Established Pharmaceutical Division (EPD) is looking for a Data Scientist for its Colombia office based in Bogota. 

About the Advanced Analytics team:

The central Advanced Analytics team at the Abbott Established Pharma Division’s (EPD) headquarters in Basel helps define and lead the transformation towards becoming a global, data-driven company with the help of data and advanced technologies (e.g., Machine Learning, Deep Learning, Generative AI, Computer Vision etc.). To us, Advanced Analytics is an important lever to reach our business targets, now and in the future; It helps differentiate ourselves from our competition and ensure sustainable revenue growth at optimal margins. Hence the central AA team is an integral part of the Strategy Management Office at EPD that has a very close link and regular interactions with the EPD Senior Leadership Team.

With the above requirements in mind, EPD is looking to fill a role of a Data Scientist, in Bogota, Colombia reporting to the Senior Manager Data Science Solutions.  He/she must be internally driven with high level of ownership, responsible for developing impactful data driven solutions. He/she must be open to work on problems from diverse functions ranging from Optimized Manufacturing (Operations), Time series forecasting (Finance & Supply chain), Optimal route planning (Commercial) etc.

What you'll do

· Participate/drive data collection, cleaning, analysis and interpretation (EDA)

· Collaborate with the business partner and product owners to ideate on solutions to challenging problems

· Generate insightful visualizations to communicate findings

· Carry out model selection, validation and possible ways for deployment (in collaboration with the engineering team)

· Write high quality code with possibility of deployment in mind

· Understand the existing code base, extend and adapt it for deployment in a different region/use-case

·Share the learnings and findings with other data scientists contributing to the collaborative environment

·Collaborate with Sr. Data Scientists and take full responsibility for analysis and modeling tasks

· Help build and maintain a close contact to key business stakeholders and relevant communities

· Build effective and efficient AA solutions to business needs, leveraging available market resources as much as possible

· Keep himself/herself committed to continuous learning about the latest trends and technologies

Required Qualifications

• B.S. in applied mathematics, computer science, engineering, applied statistics.
• At least 3 years of relevant working experience, ideally in pharma environment
• Strong experience in e.g., data mining, statistical modelling, predictive modeling and development of machine learning algorithms
• Programming experience in Python (preferred) or R 
• Fluency in Spanish and English a must, additional languages a plus

Apply Now

Follow your career aspirations to Abbott for diverse opportunities with a company that can help you build your future and live your best life. Abbott is an Equal Opportunity Employer, committed to employee diversity.

Connect with us at www.abbott.com, on Facebook at www.facebook.com/Abbott and on Twitter @AbbottNews and @AbbottGlobal.

The base pay for this position is

In specific locations, the pay range may vary from the range posted.

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