(Senior) Data Scientist - Advanced Analytics
Abbott
Basel, Switzerland
vor 3 Tg.
source : Experteer

JOB DESCRIPTION : Abbott Established Pharmaceutical Division is looking for(Senior) Data Scientist - Advanced Analyticsto be based in Basel - SwitzerlandThe Principal / Senior data scientist is responsible for / helps delivering targeted business impact per initiative in collaboration with key stakeholdersMain Responsibilites : The Principal / 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.He / she oversees / supports Advanced Analytics activities within his / her area for EPD globally and ensures that business objectives are tracked and achieved (in collaboration with key stakeholders).

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.

Help build and maintain a close contact to key business stakeholders and relevant communitiesBuild effective and efficient AA solutions to business needs, leveraging available market resources as much as possibleHelp derive and continuously refine AA guidelines and standards through synthesizing learnings from prioritized AA initiative ( learning while doing and driving impact ).

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.,Setting up / leading / supporting ideation and scoping sessions with business stakeholdersChoosing and using the right analytical libraries, programming languages and frameworks for each taskProducing high-quality code that allows us to put solutions into productionRefactoring code into reusable libraries, APIs, and toolsYour Profile : Master in relevant field (e.

  • g., applied mathematics, computer science, engineering, applied statistics)At least 4 years (senior) / 6-8 years (principal) of relevant working experience, ideally in pharma environmentGood / 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).

    Strong experience in e.g., data mining, statistical modelling, predictive modeling and development of machine learning algorithmsPractical experience in deploying machine learning solutionsProgramming experience in R or Python and ideally also in object-orientated programming such as e.

    g., C, C++, JavaGood understanding of good software engineering principlesGood knowledge of testing frameworks and librariesExperience of AWS / Sagemaker a plusProven problem-solving ability in international settingsStrong background in analytics and statisticsProven communication skillsIntrinsic 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 plusFluency in English a must, additional languages a plusDo 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 online in pdf format.JOB FAMILY : Research and DiscoveryDIVISION : EPD Established PharmaLOCATION : Switzerland >

    Basel : H-127 A2ADDITIONAL LOCATIONS : WORK SHIFT : StandardTRAVEL : Yes, 20 % of the TimeMEDICAL SURVEILLANCE : Not ApplicableSIGNIFICANT WORK ACTIVITIES : Not ApplicableFull time

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