Opportunity

Olympic Industries ULC is currently searching for a highly motivated and innovative Data Scientist Intern to join our team for a 4-month contract beginning May 2025!

The Data Scientist Intern will be responsible for developing and maintaining data pipelines, optimizing infrastructure, assisting in backend development, and implementing machine learning models to support the company’s business objectives and operations.

Responsibilities

Reporting to the Data Scientist, the Data Scientist Intern is responsible for the following as well as other related duties as assigned to support the business objectives and purpose of the company:

Develop, construct, test, and maintain optimal data pipeline architecture.
Identify, design, and implement internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes.
Develop and manage well-functioning databases and applications.
Assist in code optimization in data science and trading projects.
Troubleshoot and debug automation and scraping program code.
Assist Full-Stack Data Developer with backend development.
Develop, test, and implement machine learning models using Python and other relevant tools and technologies.
Work closely with our data engineering team to ensure that our data pipelines are optimized for machine learning applications.

Position Requirements

To be successful as a Data Scientist Intern, an individual must be committed to developing, maintaining, and demonstrating the following:

Education And Experience

An academic background in Computer Science, Software/Computer Engineering, or a related technical field.
Experience in writing complex SQL queries and working with databases, such as MSSQL, MySQL, PostgreSQL, and MongoDB.
Experience in machine learning and data mining including libraries such as TensorFlow, Scikit-learn, and XGBoost.
Extremely strong programming skills in Python and data science libraries such as Pandas, NumPy, Seaborn, and Matplotlib.
Working knowledge of data structures and algorithm designs.
Working knowledge of machine learning models and deep learning algorithms.
Basic understanding of statistical analysis and probability theory.
Familiarity with pulling data from API’s and ETL processing
Knowledge or experience in working with REST API and Web Socket to extract, manipulate, and automate data considered an asset.

Who We Are

Olympic Industries ULC is a leading international forest products trading company with our annual revenue exceeding $500 million. Our expertise includes the trading, importing/exporting, and manufacturing of forest products from the comfort of our office located in the heart of the vibrant and breathtaking Lonsdale Quay in North Vancouver, BC. With over 25 active Commodity Traders in house, we are proud to have a corporate culture that rewards hard work, entrepreneurship, and team collaboration.

What We Offer

Small Company with Big Perks

Olympic is a mid-sized company with an open door/open concept layout where anybody you may need is easily accessible. This layout not only helps to support individuals in their career growth and development but also encourages individuals to interact and be curious about how different departments support each other in their roles.

Great Central Location

Located in the Lonsdale Quay, Olympic is transit accessible from any location in the lower mainland. There are many great shops, restaurants, and parks within a walking distance and the mountains are just a 10-minute drive away.

Additional Details

Salary range: $65,000-$75,000 per annum.
This position is hybrid, working Monday through Thursday in our office located in Lower Lonsdale, North Vancouver.
Employee-only in-office gym & show facilities.
Nespresso coffee & tea bar.
Weekly Wednesday morning breakfast!

Apply Now!

For more information on Olympic Industries, please visit our website at www.olympicind.com .

We thank all applicants for their interest! However, only those selected for an interview will be contacted. At Olympic Industries, we embrace diversity and are committed to building a team that represents a variety of backgrounds, cultures, perspectives skills, and experiences. As an equal opportunity employer, we encourage applications from all qualified individuals.

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