Data Scientist

Job Description

We, Macropus Global Ltd., are looking for a Data Scientist to join our company. This position will be full time with 8 hours a day and 40 hours per week. Our company is located at 3450 Uptown Blvd, Victoria, BC V8Z 0B9

The job duties for this position will be:

Implement cutting-edge techniques and tools in machine learning, deep learning and artificial intelligence to make data analysis more efficient
Perform large-scale experimentation to identify hidden relationships between variables in large datasets
Create advanced machine learning algorithms such as regression, simulation, scenario analysis, modeling, clustering, decision trees and neural networks
Prepare and extract data using programming language
Implement new statistical, machine learning, or other mathematical methodologies to solve specific business problems
Visualize data in a way that allows a business to quickly draw conclusions and make decisions
Develop artificial intelligence models and algorithms and implement them to meet the needs of the organization
Coordinate research and analysis activities using unstructured and structured data and use programming to clean and organize data

Job Requirements:

English is required

Minimum three years of experience in similar field is required

A bachelor’s degree in statistics, mathematics, computer science, computer systems engineering or a related discipline or completion of a college program in computer science is  required.

Strong programming skills in Python, R, Java, or similar languages.

⁠Proven experience in data analysis, statistical modeling, and machine learning techniques.

⁠Hands-on experience with machine learning algorithms such as regression, classification, clustering, decision trees, and neural networks.

Experience designing, developing, and deploying machine learning and AI models.

Proficiency in ML frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn, or Keras.

Strong understanding of data preprocessing, feature engineering, and data cleaning techniques.

Experience working with large-scale structured and unstructured datasets.

Knowledge of data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn) to present insights effectively.

⁠Ability to conduct experiments and analyze results to improve model performance and accuracy.

Experience with data pipelines, ETL processes, and integrating models into production environments.

Familiarity with cloud platforms (AWS, Azure, or GCP) and big data technologies (Hadoop, Spark) is a plus.

Understanding of model evaluation, tuning, and optimization techniques.

Knowledge of MLOps practices, including CI/CD, Docker, and Kubernetes, is an advantage.

Strong problem-solving, analytical thinking, and attention to detail.

Excellent communication skills with the ability to explain technical concepts to non-technical stakeholders.

⁠Ability to work collaboratively in cross-functional teams and manage multiple priorities.

What we offer:

$49 per hour

4% vacation pay

How to apply:

Email your Resume to macropus2024@outlook.com

We are thankful to all the candidates that apply. All the shortlisted candidates will be contacted within a few days of their application.