Stellenbeschreibung
Abbott Established Pharmaceutical Division is looking for
to be based in Basel - Switzerland
The senior Data Scientist and Engineer is responsible for/ helps delivering targeted business impact per initiative in collaboration with key stakeholders. He/ she works on end-to-end data management that will enable faster, better and more informed decision-making within the business and help create business value out of data & analytics.
Primary Job Function:
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.
He/she supports Advanced Analytics activities within various areas 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 prioritized 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 stakeholders
Choosing and using the right analytical libraries, programming languages and frameworks for each task
producing high-quality code that allows us to put solutions into production
refactoring code into reusable libraries, APIs, and tools
He/she closely collaborates with data engineers and IT to defines and builds company-wide frameworks and libraries that will enable faster, better and more informed decision-making within the business and help create business value out of data & analytics.
For EPD worldwide, he/she helps ensure e.g.,
data availability and accessibility for prioritized Advanced Analytics scope
a stable data science pipeline from data exploration, training, development and deployment
He/she shares the responsibility to achieve targeted business impact with the help of data and modern data technologies in collaboration with business owners, subject matter experts, data scientists and AA translators
Core Job Responsibilities:
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
Help derive and continuously refine AA guidelines and standards through synthesizing learnings from prioritized AA initiative (“learning while doing and driving impact”).
Work with key stakeholders within the company to help model their data landscape, obtain data extracts, and define secure data exchange approaches
Help plan and deliver secure, good practice data integration strategies and approaches
Help acquire, ingest, and process data from multiple sources and systems into Big Data platforms
Help create and manage data environments in the Cloud
Collaborate with our data scientists and engineers to map data fields to hypotheses and curate, wrangle, and prepare data for use in their advanced analytical models
Ideally, have a strong understanding of Information Security principles to ensure compliant handling and management of client data
Minimum Education:
Master in relevant field (e.g., applied mathematics, computer science, electrical engineering, applied statistics)
Minimum Experience/Training Required:
At least 4 - 6 years of relevant working experience in larger companies or corporates, ideally in pharma environment
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).
Proven ability to work across structured, semi-structured, and unstructured data, extracting information and identifying linkages across disparate data sets
Strong experience in multiple database technologies such as: Distributed Processing (Spark, Hadoop, EMR) Traditional RDBMS (MS SQL Server, Oracle, MySQL, PostgreSQL) MPP (AWS Redshift, Teradata) NoSQL (MongoDB, DynamoDB, Cassandra, Neo4J, Titan)
Strong experience in e.g., data mining, statistical modelling, predictive modeling and development of machine learning algorithms
Practical experience in deploying machine learning solutions
Programming experience in R or Python and ideally also in object-orientated programming such as e.g., C, C++, Java
Good understanding of good software engineering principles
Good knowledge of testing frameworks and libraries
Strong experience and interest in Cloud platforms such as e.g., AWS
Proven problem-solving ability in international settings
Result-oriented analytical and creative thinker with strong background in analytics and statistics
Proven communication skills
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
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 online in pdf format.
Job-Familie
Research and Discovery
Division
EPD Established Pharma
Standort
Switzerland > Basel : H-127 A2
zusätzliche Standorte
Schichtplan
Standard
Reisen
Yes, 20 % of the Time
Medizinische Kontrolle
Not Applicable
Wichtige Tätigkeitsbereiche
Not Applicable