Data Scientist

About Snaplii

Snaplii is a leading Digital Wallet platform that has redefined the way Users and Merchants engage for more efficient communication. Our platform offers value-added features, including secure credit card payments, a curated list of favorite merchants, cash-back card options, data-driven marketing solutions, and a thriving gift card business. These offerings allow us to deliver the best in-store and online shopping experience to Users and empower Merchants with a higher level of brand loyalty. As we expand our operations and introduce new functionalities, Snaplii aims to become the go-to digital wallet for people across North America.

About the Role

We are looking for a highly skilled and motivated Data Scientist to join our team. As a Data Scientist, you will leverage your analytical expertise and technical skills to extract meaningful insights from complex datasets, enabling data-driven decisions across the organization. This role offers an exciting opportunity to work with diverse datasets, cutting-edge technologies, and impactful projects.

You Will:

• 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 useful 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.

Required Qualifications and Skills:

• 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.
• Excellent problem-solving, critical thinking, and analytical skills.
  
• Ability to communicate complex data insights to both 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.
  
• Familiarity with big data technologies (e.g., Hadoop, Spark).