Description:
As a Senior Data Scientist, you’ll lead complex analytics initiatives, determine technical approaches and tools, and develop models that help explain past performance and project future scenarios. Your strong analytical capabilities and data storytelling skills will enable you to translate complex findings into clear insights for leaders and stakeholders while advancing data-driven solutions to business challenges.
If you are an analytical problem-solver, confident communicator, organized multi-tasker and committed continuous learner who thrives in a collaborative environment and is motivated by turning data into meaningful business insights, this might be the role for you.
What You’ll Do
- Lead complex insights projects to identify patterns and trends in data and model future scenarios
- Determine technical direction for data solutions, including methodologies, tools and analytical approaches
- Evaluate diverse data sources and develop insights that support business decisions and risk mitigation
- Build, validate, monitor and enhance predictive models and analytics solutions using advanced analytics techniques
- Collaborate with internal and external stakeholders and communicate complex findings in a clear and actionable way
- Provide technical leadership and mentorship to analytics professionals while promoting quality and consistency
Required Qualifications
What you’ll bring to the team
- A master’s degree in a related domain or an equivalent combination of education and experience
- Minimum six years of experience in data science, analytics, economics, finance, corporate and commercial credit rating, risk management, credit risk modelling, credit portfolio management or information technology
- Extensive knowledge of one or more relevant domains and advanced analytics methodologies
- Proven expertise in predictive and descriptive analytics techniques and statistical modelling
- Demonstrated proficiency with SAS, MS Power BI, AWS tools, R and Python
- Strong mathematical or statistical background
- Ability to communicate complex concepts effectively to non-expert stakeholders
Preferred Qualifications
- Understanding of the agricultural industry and FCC business policies and processes
- Experience working with structured and unstructured data is an asset
- Experience with machine learning, artificial intelligence or advanced modelling techniques