Data Scientist

Snaplii; Mississauga; On-site; CAD 80,000 - 120,000; Full time

Job summary

An established industry player is seeking a talented Data Scientist to join their innovative team. In this role, you will harness your analytical expertise to derive meaningful insights from complex datasets, driving data-informed decisions across the organization. You'll work with cutting-edge technologies and diverse datasets, developing machine learning models and collaborating with teams to optimize business processes. This is a fantastic opportunity to contribute to impactful projects while staying at the forefront of data science trends. If you're passionate about transforming data into actionable insights and making a difference, this role is perfect for you.

Qualifications

• 5+ years experience as a Data Scientist or in a similar analytical role.
• Strong understanding of statistical methods and machine learning algorithms.
• Proficiency in Python, R, or SQL for data analysis.

Responsibilities

• Analyze large datasets to identify trends and correlations.
• Develop and implement machine learning models for business solutions.
• Visualize data findings and present insights clearly.

Skills

Python

R

SQL

Data Analysis

Problem Solving

Statistical Methods

Machine Learning

Data Visualization

Education

Bachelor’s degree in Data Science

Master’s degree in Data Science

Degree in Statistics

Degree in Computer Science

Tools

Tableau

Power BI

Matplotlib

AWS

Google Cloud

Azure

Hadoop

Spark

Job description

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).