Data Scientist – Customer Analytics (m/f) Job

Date: Jan 17, 2019

Location: Haar, BY, DE

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Requisition ID: MAR007204


MSD is a global healthcare leader with a diversified portfolio of prescription medicines, vaccines and animal health products. The difference between potential and achievement lies in the spark that fuels innovation and inventiveness; this is the space where MSD has codified its 125-year legacy. MSD’s success is backed by ethical integrity, forward momentum, and an inspiring mission to achieve new milestones in global healthcare.

 

The healthcare sector is undergoing a digital shift challenging the status quo. Data & analytics are becoming a key enabler of business decisions. MSD is expanding its analytics capabilities to address this transformation. For our Team in Haar by Munich we are looking for three Data Scientists - Customer Analytics (m/f) who bring their mindset, skillset and love for data in helping the business to better understand our customers and their needs.

 

You will be part of the growing and open-minded Customer Analytics team with fresh experience from other industries. Drive the data & analytics knowledge with your advanced analytics expertise and influence business decisions by extracting insights from data!


Your area of responsibility includes the following main tasks:


  • Develop promotion response models

  • Optimize marketing and sales force investments

  • Recommend engagement channels for specific campaigns, products & customers

  • Design experiments with A/B testing and test & control groups

  • Create dashboards to visualize key insights

  • Pro-actively mine data to identify business questions that haven’t been asked yet

  • Lead projects with internal and global teams as well as external consultants

  • Convey complex analytics concepts to colleagues as well as senior executives

  • Identify and maintain external relationships with data science thought leaders to stay up-to-date and think out-of-the-box on this constantly evolving field 
Qualifications



  • Academic degree in a quantitative science field (Mathematics, Chemistry, Computer Science, Engineering or another related field)

  • Work experience with statistical and machine learning tools and techniques

  • Deep technical know-how of traditional analytics applications such as Excel and SQL

  • Expertise with advanced analytics tools such as R/Python, Alteryx, and KNIME

  • Proficiency with data visualization applications such as Spotfire and Qlik

  • Good written and oral German and English communication skills

  • Effective listening skills to translate a business problem into an analytical solution

 

We offer:


  • An exciting opportunity within a stable and growing company

  • Development and career opportunities within the company

  • A competent, motivated and great team


Interested in becoming part of a dynamic, developing team and contributing your know-how to an innovative environment that allows you to show initiative and that offers long-term perspectives? Please apply using the link to our career site!

 


Your role at MSD is integral to helping the world meet new breakthroughs that affect generations to come, and we’re counting on your skills and inventiveness to help make meaningful contributions to global medical advancement. At MSD, we’re inventing for life.

 

Search Firm Representatives Please Read Carefully: 



MSD is not accepting unsolicited assistance from search firms for this employment opportunity.  Please, no phone calls or emails.  All resumes submitted by search firms to any employee at MSD via email, the Internet or in any form and/or method without a valid written search agreement in place for this position will be deemed the sole property of MSD.  No fee will be paid in the event the candidate is hired by MSD as a result of the referral or through other means.


Job: Market Research & Analytics
Other Locations:
Employee Status: Regular
Travel:
Number of Openings: 2
Shift (if applicable):
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Company Trade Name: MSD


Job Segment: Chemistry, Database, Scientific, Analytics, Data Analyst, Science, Technology, Engineering, Management, Data

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