Teva Senior Manager Data Scientist - Parsippany NJ Hybrid 

United States, New Jersey 

182552417

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
  

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

Education/Certification/Experience:

• Master’s Degree with at least 2 years of experience within a highly technical/quantitative discipline (Statistics, Computer Science, Data Science, Mathematics); PhD preferred.
• Minimum 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, LLM etc.
• Minimum 4 years of experience in performing data analysis and modeling using Python (NumPy, pandas, Scikit-learn, TensorFlow etc).

Skills/Knowledge/Abilities:

• 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 inter-personal skills and team player.
• Ability to quickly adapt to changing priorities and generate innovative solutions in a fast-paced environment.

PHYSICAL REQUIREMENTS:

Occasional:
Sitting for extended periods of time at work station or mobile equipment.

Visual Acuity:
Perform activities such as computer work, preparing and analyzing data, and extensive reading.

The annual starting salary for this position is between $138,880 - $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, 13 paid Holidays and 3 paid floating holidays.
• Life and Disability Protection: Company paid Life and Disability insurance.
• Additional benefits include, but 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.

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