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Key job responsibilities
- In this role, you will leverage existing science infrastructure and known techniques and focus both on combining estimates from existing models and creating new models to generate actionable business insights to support senior leadership in critical decision-making meetings, including the approval of confidential funding requests (PRFAQs) for innovative devices and services, product portfolio optimization, and strategic tiering decisions.
- You will enhance Science and Tools produced by the Device Economics team to improve forecast accuracy. Over time, you will be expected to progressively take on a leading role in expanding our analytical capabilities to address increasingly complex business questions and forecast intricate business scenarios.
- You will manage and cultivate strong relationships with key business stakeholders, including PM, Sales and Marketing, GTM teams. This role requires close collaboration to align analytical outputs with strategic business objectives.A day in the life- You will perform model refreshes or updates to analyses as needed; and,
- You will be expected to develop new techniques to process large data sets, address quantitative problems, and contribute to design of automated systems.
- 2+ years of data scientist experience
- 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
- Experience applying theoretical models in an applied environment
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