The Senior Data Scientist role at Thomson Reuters involves working with minimal supervision to solve business problems using data and analytics. The ideal candidate will have a minimum of 3 years of experience in data science and proficiency in Python, SQL, and machine learning libraries such as Scikit-learn and PyTorch.
Requirements
- Work with low to minimum supervision to solve business problems using data and analytics
- Work in multiple business domain areas including Customer Experience and Service, Operations, Finance, Sales and Marketing
- Work with various business stakeholders, to understand and document requirements
- Design an analytical framework to provide insights into a business problem
- Build end to end data pipelines to handle and process data at scale
- Build machine learning models and/or statistical solutions
- Build predictive models
- Use Natural Language Processing to extract insight from text
- Design database models (if a data mart or operational data store is required to aggregate data for modeling)
- Design visualizations and build dashboards in Tableau and/or PowerBI
- Extract business insights from the data and models
- Present results to stakeholders (and tell stories using data) using power point and/or dashboards
- Work collaboratively with other team members
Benefits
- Flexible vacation
- Two company-wide Mental Health Days off
- Access to the Headspace app
- Retirement savings
- Tuition reimbursement
- Employee incentive programs
- Resources for mental, physical, and financial wellbeing
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