JOB DESCRIPTION:
Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 114,000 colleagues serve people in more than 160 countries.
Abbott Established Pharmaceutical Division (EPD) is looking for a
Senior Data Scientist
for its global Pharma Division Headquarter based in Allschwil- Basel.
Primary Job Function:
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The Senior Data Scientist rapidly navigates from identifying priorities/helping to generate ideas to implementing the solution. He/she has a passion to see own work translated in business results.
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He/she oversees/supports Advanced Analytics (AA) activities within his/her area for EPD globally and ensures that business objectives are tracked and achieved (in collaboration with key stakeholders).
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With increasing experience, he/she is responsible for understanding core business challenges and needs and for deriving a suitable global AA roadmap based on this understanding in collaboration with key stakeholders.
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He/she actively takes part in the development, deployment and integration of prioritised Advanced Analytics solutions in collaboration with local/regional cross-functional teams and/or external partners, including e.g.,
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Setting up / leading / supporting ideation and scoping sessions with business stakeholders
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Choosing and using the right analytical libraries, programming languages and frameworks for each task
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producing high-quality code that allows us to put solutions into production
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refactoring code into reusable libraries, APIs, and tools
Core Job Responsibilities:
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Help build and maintain a close contact to key business stakeholders and relevant communities
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Build effective and efficient AA solutions to business needs, leveraging available market resources as much as possible
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Help derive and continuously refine AA guidelines and standards through synthesizing learnings from prioritized AA initiative (“learning while doing and driving impact”).
Minimum Education:
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Master in relevant field (e.g., applied mathematics, computer science, engineering, applied statistics)
Minimum Experience/Training Required:
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At least 4 years (senior) of relevant working experience, ideally in pharma environment
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Good /solid experience working on full-life cycle data science; experience in applying data science methods to business problems (experience in the financial/commercial or manufacturing / supply chain areas a plus).
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Strong experience in e.g., data mining, statistical modelling, predictive modeling and development of machine learning algorithms
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Practical experience in deploying machine learning solutions
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Programming experience in R or Python and ideally also in object-orientated programming such as e.g., C, C++, Java
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Good understanding of good software engineering principles
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Good knowledge of testing frameworks and libraries
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Experience of AWS / Sagemaker a plus
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Proven problem-solving ability in international settings
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Strong background in analytics and statistics
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Proven communication skills
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Intrinsic motivation to guide people and make Advanced Analytics more accessible to a broader range of stakeholders. Ability to work with cross-functional teams and bring business and data science closer together - consultancy experience a plus
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Fluency in English a must, additional languages a plus
Do you like the sound of this job and think you’ve got what it takes? Then send us your CV today. We look forward to receiving your application as pdf.
(If you want to upload several documents, don`t save in between uploading them to be able to do so. Once you save your uploads, you will not be able to add more documents)
The base pay for this position is
N/A
In specific locations, the pay range may vary from the range posted.
JOB FAMILY:Research and Discovery
DIVISION:EPD Established Pharma
LOCATION:Switzerland > Basel : H-127 A2
ADDITIONAL LOCATIONS:
WORK SHIFT:Standard
TRAVEL:Not specified
MEDICAL SURVEILLANCE:Not Applicable
SIGNIFICANT WORK ACTIVITIES:Not Applicable
