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Your responsibilities will include analyzing complex datasets, creating predictive models, and communicating your findings to stakeholders. You will have the opportunity to work with cutting-edge technologies and play a crucial role in shaping our data strategy and analytics framework.
Responsibilities
- Analyze and interpret complex data sets to identify trends, patterns, and correlations
- Develop predictive models and utilize machine learning algorithms to improve product performance
- Collaborate with product and engineering teams to integrate data-driven insights into products
- Present findings and recommendations to stakeholders in a clear, concise manner
- Stay current with industry trends and emerging technologies in data science and artificial intelligence
- Create and maintain documentation of your methodologies, processes, and key learnings
Qualifications
- Master's degree in Data Science, Statistics, Computer Science, or a related field; Bachelor's degree with relevant experience may also be considered
- 2+ years of experience in data science, data analysis, or a related analytical field
- Strong proficiency with programming languages such as Python or R, and familiarity with SQL and time-series databases
- Solid understanding of machine learning algorithms and statistical modeling techniques
- Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn).
- Ability to effectively communicate complex data insights to both technical and non-technical audiences
- Strong critical thinking and problem-solving skills
Be a part of creating an innovative product that makes a real difference.
Comprehensive health insurance, including medical, vision, and dental coverage.
Paid time off to support a balanced work-life experience.
Work in a conveniently located office in downtown Vancouver.
Grow your career and take on more responsibilities within the company.
Discover how energy, artificial intelligence, and computing intersect to tackle significant challenges.
Join a team that prioritizes clean coding practices, strong principles, and technical excellence.
Key Skills
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