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Data Scientist

Date: Apr 3, 2021

Location: Parsippany, New Jersey, US, 07054

Company: Teva Pharmaceuticals

Company Info

Teva is a global pharmaceutical leader and the world's largest generic medicines producer, committed to improving health and increasing access to quality health solutions worldwide. Our employees are at the core of our success, with colleagues in over 80 countries delivering the world's largest medicine cabinet to 200 million people every day. We offer a uniquely diverse portfolio of products and solutions for patients and we've built a promising pipeline centered around our core therapeutic areas.  We are continually developing patient-centric solutions and significantly growing both our generic and specialty medicines business through investment in research and development, marketing, business development and innovation. This is how we improve health and enable people to live better, healthier lives. Join us on our journey of growth!

Job Description

As the Data Scientist you will be directly supporting the Teva North America Data Science & Analytics unit. You will be responsible for creating product, customer and operational value from data; for providing measurable performance and quality insights by modeling complex problems, discovering insights and identifying opportunities through the use of statistical, algorithmic, mining and visualization techniques.

 

You will leverage prospective analytics and use data mining, data analysis, automation, and machine learning methods, to measure performance and quality of insights.

 

In this role you will be responsible for developing advanced statistical models and algorithms that provide data-driven insights to support business results.


Responsibilities:

  • Work with the unit Leader and Data Analysts to drive solutions that enable data-driven decision making.
  • Drive business value through data science and advanced analytics 
  • Use exploratory data analysis to build expertise in the strengths and limitations of complex data sets to assist in identifying the right analytical approach given the available data
  • Design and manage complex analytical projects, including developing and implementing approaches that breakdown complex business problems into multiple independent & sequential phases of analysis
  • Derive insights from data and present results to internal clients and senior management
  • Engineer and prepare data from disparate systems
  • Integrate and prepare large, varied datasets, design appropriate data science models and algorithms, and professionally communicate results
     

Qualifications

What you will bring to the role:

  • Master’s Degree with 2+ years of experience with in a highly technical/quantitative discipline (Statistics, Computer Science, Data Science, Mathematics)
  • Minimum 4 years of experience of data mining algorithms including machine learning techniques such as regression, decision trees, probability networks, association rules, clustering, deep learning, neural networks, Bayesian models, etc.
  • Minimum 2 years of experience in generating advanced insights and predictive capability from statistical models, including (but not limited to) multivariate linear regression, cluster algorithms, decision trees, logistic regression, Principal Component Analysis (PCA), time series, survival analysis, machine learning (supervised and unsupervised), Bayesian Methods, Neural Networks, etc.
  • Minimum 2 years of experience in performing data analysis and modeling using Python (numpy, pandas, etc)


Preferred Qualifications:

  • PhD degree in Statistics or Biostatistics, with 2+ years of experience in life sciences
  • Experience with cloud services: AWS, Azure
  • Proficiency in bringing structure to ambiguous problems and deriving insights from multiple data and information sources
  • Strong presentation and communication skills
  • Strong inter-personal skills and team player
  • Strong project management skills
  • Experience with large scale database applications (Oracle, SAP HANA)
  • Experience in automating analysis and authoring pipelines based on ETL framework

Function

Information Technology

Sub Function

IT Business Application

Reports To

Sr Director, Data Science and Analytics

Already Working @TEVA?

If you are a current Teva employee, please apply using the internal career site available on "Employee Central". By doing so, your application will be treated with priority. You will also be able to see opportunities that are open exclusively to Teva employees. Use the following link to search and apply: Internal Career Site

The internal career site is available from your home network as well. If you have trouble accessing your EC account, please contact your local HR/IT partner.

Teva’s Equal Employment Opportunity Commitment

Teva Pharmaceuticals is committed to equal opportunity in employment. It is Teva's global policy that equal employment opportunity be provided without regard to age, race, creed, color, religion, sex, disability, pregnancy, medical condition, sexual orientation, gender identity or expression, ancestry, veteran status, national or ethnic origin or any other legally recognized status entitled to protection under applicable laws. We are committed to a diverse and inclusive workplace for all. If you are contacted for a job opportunity, please advise us of any accommodations needed to  support you throughout the recruitment and selection process. All accommodation information provided will be treated as confidential and used only for the purpose of providing an accessible candidate experience.  


Nearest Major Market: New York City
Nearest Secondary Market: Newark