Data Scientist

6 days ago

Mississauga, Canada Snaplii Full time

**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).

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