gem
Senior Data Scientist
Index Exchange
Toronto, CAN
Full-time
Senior · 5+ years experience
Onsite
Discovered 3 weeks ago
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- Learn and understand the business vision and market opportunity for the company
- Work backwards from business problems to generate scientific hypotheses to guide development focus and pragmatism
- Use analytical, statistical and database skills to understand large, complex datasets with the aim to increase the programmatic efficiency
- Design, develop, and drive implementation of complex data-centric solutions, including large data set segmentation, transformation, and feature generation
- Clearly articulate research and development hypothesis, decisions and results
- Take part in the process of designing, developing & improving algorithms for automated decision making around programmatic exchange optimisation
- Take active part in designing, and driving implementation production performance monitoring frameworks and KPIs
- Work together with ML engineers and architects to develop production grade data centric solutions
- An entrepreneurial spirit with room and expectations to bring innovative ideas to address the problems at hand
- Bachelors or Masters in Mathematics, Computer Science, Engineering, or equivalent
- 5+ years of experience in data science or machine learning environments that requires the combined application of statistical & technical skills
- Experience in data science practices in operational environments and internet scale, i.e - this is an applied position, rather than a solely research focused one
- Strong statistical and research skills with a track record of using a variety of statistical methods (especially classification/prediction and time series models)
- Proven ability to demonstrate and articulate complex results to wide technological audience
- Demonstrated history of enabling advanced data modeling based guidance for technology development
- Experience in cross functional team cooperation to drive pragmatic technological solutions
- Expert in pragmatic application of data science and optimization best practices at large scale (industry scale platform experience preferred)
- Excellent development skills (Python required, specifically pandas, numpy, SciKit; Knowledge in Scala a plus)
- Familiarity with digital marketing, advertising or analytics is a plus
- Work experience in complex system engineering environments is a plus
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