Senior Data Scientist

Job Detail

Job ID 532605

Job Description

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 aSenior Data Scientistfor its global Pharma Division Headquarter based in Allschwil- Basel.Primary Job Function: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 (AA) 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.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 toolsCore Job Responsibilities: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”).Minimum Education:Master in relevant field (e.g., applied mathematics, computer science, engineering, applied statistics)Minimum Experience/Training Required:At least 4 years (senior) 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 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/AIn specific locations, the pay range may vary from the range posted.JOB FAMILY: Research and DiscoveryDIVISION: EPD Established PharmaLOCATION: Switzerland
Basel : H-127 A2ADDITIONAL LOCATIONS:WORK SHIFT: StandardTRAVEL: Not specifiedMEDICAL SURVEILLANCE: Not ApplicableSIGNIFICANT WORK ACTIVITIES: Not Applicable