Data Scientist
Position Summary: Data Scientist will be intricately involved in running analytical experiments in a methodical manner, and will regularly evaluate alternate models via theoretical approaches.
Roles and Responsibilities: - Work closely with business to identify issues and use data to propose solutions for effective decision making
- Build algorithms and design experiments to merge, manage, interrogate and extract data to supply tailored reports to colleagues, customers or the wider organization
- Use machine learning tools and statistical techniques to produce solutions to problems
- Test data mining models to select the most appropriate ones for use on a project
- maintain clear and coherent communication, both verbal and written, to understand data needs and report results
- Create clear reports that tell compelling stories about how customers or clients work with the business
- assess the effectiveness of data sources and data-gathering techniques and improve data collection methods
- Horizon scan to stay up to date with the latest technology, techniques and methods
- Conduct research from which you'll develop prototypes and proof of concepts
- Stay curious and enthusiastic about using algorithms to solve problems and enthuse others to see the Benefit of your work.Research and develop statistical learning models for data analysis
- Collaborate with product management and engineering departments to understand company needs and devise possible solutions
- Communicate results and ideas to key decision makers
- Implement new statistical or other mathematical methodologies as needed for specific models or analysis
- Optimize joint development efforts through appropriate database use and project design
Mandatory Skills: - Master's Degree in Computer Science, Statistics, Applied Math or related field
- 3+ years' practical experience with SAS, ETL, data processing, database programming and data analytics
- Extensive background in data mining and statistical analysis
- Able to understand various data structures and common methods in data transformation
- Excellent pattern recognition and predictive modeling skills
- Experience with programming languages such as Java/Python an asset
