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Quantitative Insights Professional

1 week ago

Ottawa, Ontario, Canada Snaplii Full time

As a leading digital wallet platform, Snaplii is dedicated to delivering exceptional user experiences and empowering merchants with data-driven insights. Our platform provides advanced features such as secure payment processing, personalized merchant recommendations, cash-back rewards, and data-driven marketing solutions. We are seeking a highly skilled and motivated Data Scientist to join our team and drive data-driven decision-making across the organization.

About the Role

As a Data Scientist, you will leverage your analytical expertise and technical skills to extract meaningful insights from complex datasets, informing business decisions and driving growth. This role offers a unique opportunity to work with diverse datasets, cutting-edge technologies, and impactful projects.

  • Analyze large, complex datasets to identify trends, patterns, and correlations.
  • Develop and implement machine learning models to solve business problems.
  • Use statistical methods to analyze data and generate actionable business reports.
  • Collaborate with cross-functional teams to translate business needs into data-driven solutions.
  • Design and conduct experiments, testing hypotheses to optimize business processes.
  • Visualize data findings and present insights in a clear, actionable format.
  • Continuously improve data pipelines, models, and systems to enhance data analysis capabilities.
  • Stay current on emerging trends and technologies in data science and machine learning.

Requirements:

  • Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or a related field.
  • Proficiency in programming languages such as Python, R, or SQL.
  • Experience with data visualization tools like Tableau, Power BI, or Matplotlib.

Ability to:

  • Communicate complex data insights to technical and non-technical stakeholders.
  • Knowledge of data wrangling and cleaning techniques.
  • Strong understanding of statistical methods, machine learning algorithms, and data mining techniques.
  • Proven experience (5+ years) working as a Data Scientist or in a similar analytical role.

Preferred Skills:

  • Experience with cloud platforms (e.g., AWS, Google Cloud, Azure).
  • Experience in natural language processing (NLP) or deep learning is a plus.
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