Job Details

ID #19774843
State Massachusetts
City Weston
Job type Full-time
Salary USD TBD TBD
Source Biogen
Showed 2021-09-17
Date 2021-09-17
Deadline 2021-11-16
Category Et cetera
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Manager, Customer & Market Insights/Data Scientist

Massachusetts, Weston, 02493 Weston USA

Vacancy expired!

Job Description

Why Biogen?

Our mission to find therapies for neurological and rare diseases is a unique focus within our industry and this shared purpose is what connects us as a team. We work together to overcome obstacles and to follow the science. We are resilient as we strive to make an impact on our patients’ lives and on changing the course of medicine. Together, we pioneer. Together, we thrive.

About This Role

The Manager , Marketing Sciences role will be tasked with weaving structured and unstructured data together from across Biogen andworking with business stakeholders to develop testable hypotheses. You will be working directly with teams across our Commercial organization, including but not limited to Marketing, Market Research, Patient Services, Field Force excellence , Multichannel Excellence, PRC and many others to answer complex business questions.

What You’ll Do

This role will be responsible for deriving actionable insights for marketing and leadership teams by leveraging all available data assets. In this role, you will need to have the ability to influence decision-makers to adopt a quantitative approach when measuring impact, success and other outcomes. Ability to translate technical findings into actionable insights for business stakeholders is a key aspect of this role. Projects can range from patient finding initiatives across therapeutic areas , Marketing Mix models , all the way to AI driven models to support next best action This position is a high visibility role that will touch many aspects of the company.

Qualifications

  • Pharmaceutical/Biotechexperience required
  • End-to-end experience with data, including querying, aggregation, analysis, and visualization
  • Deep understanding of the tools of the trade, including a variety of modern programming languages and visualizing insights via standard tools/charting methods (excel/ PPT); Ability to effectively present and defend analyses
  • Experience in effective data visualization approaches and a keen eye for detail in the visual communication of findings
  • Strong project / Deliverable management and Task oriented– ability to deliver moderately complex analytical and cross-functional projects with limited guidance
  • Strong Communications – both efficient and succinct in verbal and written communications/deliverables; excellent data visualization skills; able to distill complex analyses into meaningful insights and conclusions; excellent ability and persistence in influencing stakeholders to adopt data-driven recommendations
  • Dealing Well with Ambiguity / Intensity – operates well in a fast-paced environment driven by senior leadership requests and evolving needs
  • Strong analytical skills for effective problem solving.
  • Development of regression, classification, and clustering models based on customer level data
  • Experience and understanding of Machine Learning and Deep Learning techniques.
  • Advanced knowledge with one Data Science Language and familiarity with at least a second (Python, R, Scala, Java)
  • Working knowledge of Relational Database
  • Experience working in a commercial organization

Desired Skills -

  • Experience with cloud storage platforms such as AWS, Databricks, Snowflake, etc.
  • Good knowledge of R, C#/C, Java, JavaScript, etc.
  • Experience in NLP/NLU/NLG/Speech Recognition/Dialogue System.
  • Experience in ad hoc reporting and analysis
  • Knowledge of Bayesian statistics and their implementation
  • Experience with Visualization tools like Tableau or Qlik

Education:

Bachelor's Degree Required/Master's Degree in related field preferred Or a minimum of 4 years' experience in Analysis/Data Science fields.

Additional Information

This role will be responsible for deriving actionable insights for marketing and leadership teams by leveraging all available data assets.

Vacancy expired!

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