September 19
• Build predictive and optimization models to guide company resourcing decisions • Build credit limit and collection decisioning models to support company financial health • Make Data Science modeling accessible to non-experts through usage of the right tools for typical prediction tasks • Support in the modeling of annual and long range revenue planning • Implement time series forecasting to predict revenue from clients, especially when it is likely to grow or decrease • Prototype potential algorithms and pipelines, test them using historical data, and iterate to modify based on insights • Write production code, sometimes collaborating with Data Engineers, to implement the novel ML algorithms in production
• Have a Masters degree or PhD in Computer Science, Statistics, Operations Research, or a related field, with dual degrees a plus. • Have the ability to take an ambiguously defined task, and break it down into actionable steps • Have a comprehensive understanding of statistics, optimization and machine learning • At least 4 years experience in Finance Data Science • Bring an analytical mind to the work blending data science and internal business operations and analytics • Are proficient in coding, data structures, and algorithms • Enjoy working in a friendly, collaborative environment with others
• Competitive salary + equity • RRSP/401K matching • 3 weeks vacation + 3 personal care days + 1 Culture & Belief day + birthdays off • Access to a comprehensive mental health care platform • Health benefits from day one of employment • Work-from-home reimbursements • Optional global WeWork membership for those who want a change from their home office • Robust training and onboarding program • Coverage and support of personal development initiatives (conferences, courses, etc) • Access to StackAdapt programmatic courses and certifications to support continuous learning • Mentorship opportunities with industry leaders • An awesome parental leave policy • A friendly, welcoming, and supportive culture • Our social and team events!
Apply NowSeptember 17
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