Tevapharm
Senior Manager, Data Scientist - Parsippany, NJ (Hybrid)
Tevapharm, Parsippany, New Jersey, us, 07054
Senior Manager, Data Scientist - Parsippany, NJ (Hybrid)
Date: Oct 18, 2024Location: Parsippany, United States, New Jersey, 07005Job Id: 58858Together, 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.The opportunity
We are seeking a dynamic candidate to support Teva’s Data Science & Analytics team, working closely with Teva’s Finance 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 the claims processing workflow.How you’ll spend your day
Collaborate with the unit leader and business partners to develop solutions that enable data-driven decision-makingIntegrate, engineer, and analyze complex datasets related to medical benefits and rebates across different payers, designing comprehensive analytical solutions to support the finance team, and professionally communicate resultsDesign and manage cross-functional analytical projects, developing and implementing approaches that break down complex business problems into multiple independent and sequential phases of analysisEnsure data integrity, accuracy, and consistencySummarize key metrics for presentations and dashboardsImplement, automate, and maintain analytical processes and machine learning modelsYour experience and qualifications
Required Qualifications:Master’s Degree with 2+ years of experience in a highly technical/quantitative discipline (Statistics, Computer Science, Data Science, Mathematics, Economics, Finance, etc.)4 years of hands-on 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.4 years of experience in performing data analysis and modeling using Python (NumPy, pandas, Scikit-learn, Pyspark etc.)Strong SQL skills for data manipulation, aggregation, and optimizationProficiency in bringing structure to ambiguous problems and deriving insights from multiple data and information sourcesAbility to communicate complex ideas, insights, and analytical proficiency into meaningful conclusions to internal and external stakeholdersStrong data curiosity, analytical skills and problem-solving abilitiesExcellent written and verbal communication skills, with the ability to work effectively with both technical and non-technical stakeholdersUnderstanding of the brand and generic pharmaceutical landscape and the commercial data and analytic needsStrong inter-personal skills and team playerAbility to quickly adapt to changing priorities and generate innovative solutions in a fast-paced and multi-task environmentPreferred Qualifications:Experience in life sciences, commercial analytics, and Finance rebates & medical claimsExperience with cloud services: AWS, AzureExperience with large scale database applications (Oracle, SAP, SQL)Experience in automating analysis and authoring pipelines based on ETL frameworkEnjoy a more rewarding choice
We offer a competitive benefits package, including Medical, Dental, Vision, and Prescription coverage starting on the first day. We also offer Disability and Life Insurance, Paid Time Off, 13 paid Holidays, 6% match on the 401(k), Employee Stock Purchase Plan, and Tuition Assistance.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.
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Date: Oct 18, 2024Location: Parsippany, United States, New Jersey, 07005Job Id: 58858Together, 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.The opportunity
We are seeking a dynamic candidate to support Teva’s Data Science & Analytics team, working closely with Teva’s Finance 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 the claims processing workflow.How you’ll spend your day
Collaborate with the unit leader and business partners to develop solutions that enable data-driven decision-makingIntegrate, engineer, and analyze complex datasets related to medical benefits and rebates across different payers, designing comprehensive analytical solutions to support the finance team, and professionally communicate resultsDesign and manage cross-functional analytical projects, developing and implementing approaches that break down complex business problems into multiple independent and sequential phases of analysisEnsure data integrity, accuracy, and consistencySummarize key metrics for presentations and dashboardsImplement, automate, and maintain analytical processes and machine learning modelsYour experience and qualifications
Required Qualifications:Master’s Degree with 2+ years of experience in a highly technical/quantitative discipline (Statistics, Computer Science, Data Science, Mathematics, Economics, Finance, etc.)4 years of hands-on 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.4 years of experience in performing data analysis and modeling using Python (NumPy, pandas, Scikit-learn, Pyspark etc.)Strong SQL skills for data manipulation, aggregation, and optimizationProficiency in bringing structure to ambiguous problems and deriving insights from multiple data and information sourcesAbility to communicate complex ideas, insights, and analytical proficiency into meaningful conclusions to internal and external stakeholdersStrong data curiosity, analytical skills and problem-solving abilitiesExcellent written and verbal communication skills, with the ability to work effectively with both technical and non-technical stakeholdersUnderstanding of the brand and generic pharmaceutical landscape and the commercial data and analytic needsStrong inter-personal skills and team playerAbility to quickly adapt to changing priorities and generate innovative solutions in a fast-paced and multi-task environmentPreferred Qualifications:Experience in life sciences, commercial analytics, and Finance rebates & medical claimsExperience with cloud services: AWS, AzureExperience with large scale database applications (Oracle, SAP, SQL)Experience in automating analysis and authoring pipelines based on ETL frameworkEnjoy a more rewarding choice
We offer a competitive benefits package, including Medical, Dental, Vision, and Prescription coverage starting on the first day. We also offer Disability and Life Insurance, Paid Time Off, 13 paid Holidays, 6% match on the 401(k), Employee Stock Purchase Plan, and Tuition Assistance.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.
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