Senior Data Scientist

Teva Pharmaceutical Industries Ltd. (NYSE and TASE: TEVA) is a global leader in generic medicines, with innovative treatments in select areas, including CNS, pain and respiratory. We deliver high-quality generic products and medicines in nearly every therapeutic area to address unmet patient needs. We have an established presence in generics, specialty, OTC and API, building on more than a century-old legacy, with a fully integrated R&D function, strong operational base and global infrastructure and scale. We strive to act in a socially and environmentally responsible way. Headquartered in Israel, with production and research facilities around the globe, we employ 40,000 professionals, committed to improving the lives of millions of patients.

In Bulgaria, we are the largest employer in the pharmaceutical industry with near 1700 employees in the two manufacturing plants (Dupnitsa and Troyan); sales and marketing organization and in a number of global corporate functions based in our country. After the acquisition of Actavis by Teva Pharmaceuticals, in Bulgaria we are operating under the Teva brand.

We search for qualified and motivated candidate for the role of Senior Data Scientist, based in Sofia.

The opportunity

You will be part of a team of passionate data scientists and IT specialists, in their endeavor of building great data science practices in Teva. Your will use your creativity, to find ways to answer questions by modeling very rich sources of data. You will grow professionally by widening your knowledge across many domains and data types. Your will have the opportunity of using or learning to use the most modern tools for AI.

How you’ll spend your day

This position is for senior data scientists with strong technical and analytical skills. Our activities include the following:

• Perform exploratory data analysis to extract actionable business insights
• Formulate hypotheses about patterns in data and test them
• Apply statistical methods to detect patterns or outliers
• Communicate Data insights to stakeholders through intuitive visualizations
• Apply Machine Learning techniques to forecast future behavior

Your experience and qualifications

• Bachelor degree in Mathematics, Computer Science or Statistics
• Masters’ or Doctorate degrees in the areas above are an advantage
• Data Science or Machine Learning experience of at least 5 years, or equivalently 3 projects
• Methods for regression, classification, times series prediction, recommenders, marketing modeling, optimization, NLP, genAI, RAG
• Python: Pandas, Numpy, SKlearn, Scipy, Jupyter Notebooks, Plotting packages
  Azure, DataBricks are an advantage

Enjoy a more rewarding choice

• Dynamic and challenging work environment in one of the world leading pharmaceutical company and the biggest pharmaceutical company in Bulgaria
• Competitive remuneration bound with performance
• Additional healthcare insurance
• Transportation allowance and additional flexible benefits
• Flexible working hours and option to work from home as per the company policy
• Opportunity for development

Make a difference with Teva Pharmaceuticals

If this sounds like the right opportunity for you, send us your CV in English.

Please, kindly note that only shortlisted applicants will be contacted. All personal data is protected by law and will be treated in confidence.

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. 

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.