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!
The Data Scientist role is responsible for turning data into actionable insights for improving business results.
The Data scientist uses their technical analytic skills, applying machine learning / artificial intelligence techniques to analyze data and produce business insights.
The Data scientist work with the IT & business teams, to understand the business questions need to be answered using ML/AI techniques, learn the data structure and functional aspects and any other information that the Data Scientist needs to design, develop, train, deploy, and present the results of the ML/AI model.
Responsibility includes but is not limited to:
Solve variety of business problems by leveraging advanced artificial intelligence and machine learning approaches.
Work with IT and business teams to explore new ways of finding insights from data and provide recommendations
Evaluate and prepare datasets for ML/AI analytics including exploration, profiling, cleansing, looking for trends, outliers, exceptions, incorrect, inconsistent, missing, or skewed information.
Features engineering and data splitting to training and evaluation sets.
ML/AI models design, develop, train and deploy
Effectively communicate through visualizations, models results, reports and dashboards
6+ years of experience in advance data analytics including expertise in deriving insights from data analysis to solve business problems.
2+ years of hands-on experience building ML or AI models
Experience with providing insights for at least 10 business questions using ML or AI methods.
Strong analytical and problem-solving skills.
Solid software engineering skills across multiple languages including but not limited to Python.
Experience with machine learning software packages and deep learning tools and packages (e.g.TensorFlow).
Experience with SQL and working with Oracle data base and SQL Server.
Bachelor's degree in a highly quantitative field (Computer Science, Statistics, Mathematics, Technology, Engineering, etc.)
Excellent oral and written communication skills;
Excellent collaboration skills
Great thinker with passion to solve business challenges using analytics methods
IT Business Application
Director, Data Services, Digital IT
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.
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