Manager, Data Science

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Parsippany, United States, New Jersey, 07054

Job

Together, we’re on a mission to make good health more affordable and accessible, to help millions around the world enjoy healthier lives. It’s a mission that bonds our people across nearly 60 countries and a rich, diverse variety of nationalities and backgrounds. Working here means working with the world’s leading manufacturer of generic medicines, and the proud producer of many of the products on the World Health Organization’s Essential Medicines List.

Today, at least 200 million people around the world take one of our medicines every single day. An amazing number, but we’re always looking for new ways to continue making a difference, and new people to make a difference with.

We are seeking a dynamic candidate to support Teva’s Data Science & Analytics team on key initiatives. This role is integral to Teva’s mission of providing accessible and affordable medicines for patients. You will leverage data science, advanced analytics, visualization, and automation to deliver data-driven insights, communicate meaningful findings, and streamline business processes. As a key member of our team, you will drive growth for Teva and create substantial business value through advanced data-driven strategies.

Location:

This is a hybrid role (3 days/week onsite) based in our Parsippany, NJ office.

All areas of responsibility listed below are essential to the satisfactory performance of this position by any incumbents with reasonable accommodation if necessary. Any non-essential functions are assumed to be included in other related duties or assignments.

• Collaborate with the unit leader and business partners to develop solutions that enable data-driven decision-making.
• Design comprehensive analytical solutions to support various commercial teams and professionally communicate results.
• Design and manage cross-functional analytical projects, developing and implementing approaches that break down complex business problems into multiple independent and sequential phases of analysis.
• Ensure data integrity, accuracy, and consistency.
• Summarize key metrics for presentations and dashboards.
• Implement, automate, and maintain analytical processes and machine learning models.

Any equivalent combination of education, training and/or experience that fulfills the requirements of the position will be considered.

Education / Certification /

Experience:

• Bachelor s Degree with minimum 2 years of experience with in a highly technical/quantitative discipline (Statistics, Computer Science, Data Science, Mathematics, Economics, Finance, etc.)
• 2 years of hands-on experience in generating advanced insights and predictive capability from statistical models, including (but not limited to) multivariate linear regression, clustering algorithms, decision trees, logistic regression, Principal Component Analysis (PCA), time series, survival analysis, machine learning (supervised and unsupervised), Bayesian Methods, Neural Networks, etc.
• 2 years of experience in performing data analysis and modeling using Python (pandas, scikit-learn, PySpark, Num Py, etc.)
• Strong SQL skills for data manipulation, aggregation, and optimization.
• Proficiency in bringing structure to ambiguous problems and deriving insights from multiple data and information sources.
• Ability to communicate complex ideas, insights, and analytical proficiency into meaningful conclusions to internal and external stakeholders.
• Strong data curiosity, analytical skills and problem-solving abilities.
• Excellent written and verbal communication skills and the ability to work effectively with both technical and non-technical stakeholders.
• Strong interpersonal skills and team player mentality.
• Ability to quickly adapt to changing priorities and generate innovative solutions in a fast-paced and multi-tasking environment.
• Understanding of the brand and generic pharmaceutical landscape and of commercial data and analytic needs.
• Experience in life sciences, commercial analytics, and healthcare industry
• Experience with cloud services:
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