The Data Scientist II is responsible for collecting data and using wide range of data science techniques, including but not limited to data wrangling, profiling and visualization, statistical inference, to uncover actionable insights or build analytics solutions that guide decision making and strategic planning.
Requirements
- Undergraduate degree or advanced technical degree preferred (e.g., math, physics, engineering, finance or computer science) Graduate's degree preferred with either progressive project work experience, or;
- 3+ year of relevant experience; higher degree education and research tenure can be counted
- SQL and Python
Responsibilities
- Works autonomously within a specialized business management function and may provide work direction to others
- Provides seasoned specialized knowledge, advice and/or guidance to various stakeholders and team members
- Undertakes and completes a variety of complex projects and initiatives requiring specialist knowledge and/or the integration of cross functional processes within own area of expertise
- Oversees and/or independently performs tasks from end-to-end
- Understands business context and data infrastructure and translates business problems to viable data science solutions
- Uses a wide range of programing languages (e.g. Python) and techniques for extracting and preparing data, applying statistics and various advanced analytics, along with business acumen to extract insights from the big data
- Visualizes insights from the data to tell and illustrate stories that clearly convey the meaning of results to decision-makers and stakeholders at every level of technical understanding
Other
- Works autonomously within a specialized business management function and may provide work direction to others
- Provides seasoned specialized knowledge, advice and/or guidance to various stakeholders and team members
- Domestic Travel – Occasional
- Performing sedentary work – Continuous
- Concentrating for long periods of time – Continuous
