Manager, Data Scientist - Patient Services

Manager, Data Scientist - Patient Services

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.

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.

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

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-task environment.

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

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.

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.

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 disabilityassistance@tevapharm.com with the nature of your request and your contact information.