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Една от всички 346 обяви за Data Science в София

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Teva Pharma

Обявата е публикувана в следните минибордове

  • Sofia, Bulgaria
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    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  August 2016 Actavis has been acquired by Teva Pharmaceutical. 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. As a Teva company, in October 2020 Actavis has started the process of re-branding and anticipating the Teva brand.

    We are looking for a motivated and experienced Senior Data Scientist, to help us discover insights in rich sources of data coming from a world-scale, world-leading pharma company.

    Additional to technical skills, the position requires creativity, analytical and critical thinking, focus on business questions and good stakeholder engagement abilities.

    The role

    This position is for senior data scientists with strong technical and analytical skills.

    Main Responsibilities:

    • 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

    Skills needed:

    • 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 3 years, or equivalently 2 projects
    • Methods for regression, classification, times series prediction
    • Python: Pandas, Numpy, SKlearn, Scipy, Jupyter Notebooks, Plotting packages
    • Azure, DataBricks are an advantage

    Why should you apply?

    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.

    We Offer

    • Dynamic and challenging work environment in the leading pharmaceutical company in the world and the biggest pharmaceutical company in Bulgaria
    • Technical trainings to keep and improve the knowledge
    • Competitive remuneration bound with performance
    • Additional healthcare insurance
    • Transportation allowance
    • Flexible working hours and option to work from home as per the company policy
    • Opportunity for development in a fast growing international company

    If this sounds like the right opportunity for you, please send your Motivation Letter and CV in English.

    Only short-listed candidates will be contacted. Confidentiality is guaranteed.

    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.