Data Scientist
2 months ago
Essential for the role :
- A Quantitative Bachelor's degree from an accredited college or university is required in one of the following or related fields: Engineering, Operations Research, Management Science, Economics, Statistics, Applied Math, Computer Science or Data Science. An advanced degree is preferred (Master's, MBA or PhD).
- 2+ years of experience in Pharmaceutical / Biotech / Healthcare analytics or secondary data analysis.
- 5+ years of experience in application of advanced methods and statistical procedures on large and disparate datasets.
- Statistical Analysis & Modelling: Design of Experiments, Time Series, Regression, Applied Econometrics and Bayesian methods.
- Data Mining, Predictive Modelling & Machine Learning algorithms.
- Optimization & Simulation.
- 4+ years of recent experience and proficiency with PySpark, Python, R, SQL.
- Working knowledge of data visualization - PowerBI, MicroStrategy, Tableau, Qlikview, D3js or similar tools.
- Working knowledge on platforms like DataBricks.
- Experience in MS Office products - Excel and PowerPoint skills required.
- Proficiency in manipulating and extracting insights from large longitudinal data sources, such as Claims, EMR and other patient level data sets.
- Expertise in managing and analyzing a range of large, secondary transactional databases is required.
- Statistical analysis and modelling background
- ML a plus
- Experience with IQVIA data sets
- Ability to derive, summarize and communicate insights from analyses
- Organization and time management skills
Desirable :
- Strong leadership and interpersonal skills with demonstrated ability to work collaboratively with a significant number of business leaders and cross-functional business partners.
- Strong communication and influencing skills with demonstrated ability to develop and effectively present succinct, compelling reviews of independently developed analyses infused with insight and business implications/actions to be considered.
- Strategic and critical thinking with the ability to engage, build and maintain credibility with the Commercial Leadership Team.
- Strong organizational skills and time management; ability to manage a diverse range of simultaneous projects.
- Knowledge of AZ brand and Science (Oncology in particular).
- Experience using Big Data is a plus.
- Exposure to SPARK is desirable
- Should have Excellent Analytical, Problem Solving ability. Should be able to grasp new concepts quickly
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