Manager, Data Scientist - Patient Services

Who we are

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.

The opportunity

Directly supporting the Teva’s Data Science & Analytics and Patient Services teams, the Data Scientist will be responsible for creating actionable insights from data to enhance best patient experiences; for identifying and analyzing data to measure patient journeys; for building machine learning / AI models to customize patient services.

This candidate will collaborate closely with Teva’s Patient Services team in Innovative Medicines to support our world-class vision. The candidate will engage with Patient Service team to explore innovative partners, identify data needs and requirements, and evaluate partner data. The candidate will leverage data science and advanced analytics, visualization and automation to provide data-driven insights, communicate meaningful findings, and drive business results.

How you’ll spend your day

• The ideal candidate will closely work with the unit leader and business partner to drive solutions that enable data-driven decision making.
• Drive business value through data science and advanced analytics
• Conduct exploratory data analysis to understand the strengths and limitations of complex data sets and identify the appropriate analytical approach
• Design and manage complex analytical projects, breaking down complex business problems into multiple independent and sequential phases of analysis
• Derive insights from data and present results to internal clients and senior management
• Engineer and prepare data from disparate systems
• Integrate and prepare large, varied datasets, design appropriate data science models and algorithms, and professionally communicate results
• Implement ML models in production and track performance
• Summarize key metrics for dashboard

Your experience and qualifications

• Bachelor's Degree with a minimum of 2 years of experience in a highly technical/quantitative discipline (Statistics, Computer Science, Data Science, Mathematics, Economics, Finance, etc.) is required.
• A minimum of 2 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.
• A minimum of 2 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 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 ability to work effectively with both technical and non-technical stakeholders.
• Understanding of the brand and generic pharmaceutical landscape and the commercial data and analytic needs
• Strong interpersonal skills and team player
• Ability to quickly adapt to changing priorities and generate innovative solutions in a fast-paced and multi-tasks environment.

Preferred Qualifications:

• Experience in life sciences, commercial analytics, and healthcare industry
• Experience with cloud services: AWS, Azure
• Experience with large scale database applications (Oracle, SAP, SQL)
• Experience in automating analysis and authoring pipelines based on ETL framework

Compensation Data

The annual starting salary for this position is between $122,000 – 160,000 annually. Factors which may affect starting salary within this range and level of role may include geography/market, skills, education, experience and other qualifications of the successful candidate.

Enjoy a more rewarding choice

We offer a competitive benefits package, including:

• Comprehensive Health Insurance: Medical, Dental, Vision, and Prescription coverage starting on the first day of employment, providing the employee enrolls.
• Retirement Savings: 401(k) with employer match, up to 6% and an annual 3.75% Defined Contribution to the 401k plan.
• Time Off: Paid Time Off including vacation, sick/safe time, caretaker time and holidays.
• Life and Disability Protection: Company paid Life and Disability insurance.
• Additional benefits include, but are not limited to, Employee Assistance Program, Employee Stock Purchase Plan, Tuition Assistance, Flexible Spending Accounts, Health Savings Account, Life Style Spending Account, Volunteer Time Off, Paid Parental Leave, if eligible , Family Building Benefits, Virtual Physical Therapy, Accident, Critical Illness and Hospital Indemnity Insurances, Identity Theft Protection, Legal Plan, Voluntary Life Insurance and Long Term Disability and more. 

The total compensation may also include restricted stock units and discretionary awards, depending on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment. 

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. Use the following link to search and apply: Internal Career Site

The internal career site is available from your home network as well. If you have trouble accessing your EC account, please contact your local HR/IT partner.

Teva’s Equal Employment Opportunity Commitment

Teva Pharmaceuticals is committed to equal opportunity in employment. It is Teva's policy that equal employment opportunity be provided without regard to age, race, creed, color, religion, sex, disability, pregnancy, medical condition, genetic information, marital status, sexual orientation, gender identity or expression, ancestry, national or ethnic origin, citizenship status, military status or status as a disabled or protected veteran, or any legally recognized status entitled to protection under applicable federal, state, or local laws.   

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. Request a reasonable accommodation by sending an email to [email protected] with the nature of your request and your contact information. Only inquiries concerning a request for a reasonable accommodation will be responded to from this email address.  

Important notice to Employment Agencies - Please Read Carefully  

Teva Pharmaceuticals USA does not accept unsolicited assistance from agencies for employment opportunities.  All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company.  No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails.