Data Science Co-op
Job Summary
Job Description
As a Data Science Co-op at Kabam, you will gain hands-on experience using data and machine learning to understand player behavior and improve game experiences. You'll collaborate with the data science team, receive mentorship, and apply data science in a production environment. This includes identifying areas for data science application, extracting and exploring data, supporting machine learning model development, and communicating findings to stakeholders. You'll also gain exposure to data science methodologies and develop proficiency in relevant tools. You will be working with data analysis, hypothesis testing, and feature engineering. Contributing to data collection efforts will also be part of your responsibilities.
Must have:
- Pursuing a STEM degree.
- Basic understanding of statistical concepts and data analysis.
- Familiarity with machine learning concepts.
- Familiarity with Python and relevant libraries.
- Basic SQL skills.
- Ability to work on multiple tasks.
- Strong communication and analytical skills.
Good to have:
- Passion for games and understanding player behavior.
- Experience with data visualization tools.
- Experience with version control systems (e.g. Git)
Perks:
- Flexible benefits and reward programs.
- Sweet swag.
- Snacks.
- and more.
15 skills required
Job Details
At Kabam, we’re constantly raising the bar of excellence in free-to-play gaming. We hire for passion and diversity so that we can triumph in our collective skill. Our teams are made up of a fusion of personalities and interests bound together by a collaborative nature, fun-loving culture, and a drive to do what it takes to make great games. And this is where you come in…
We're looking for a driven Data Science Co-op to join our team! In this role, you'll gain hands-on experience leveraging data and machine learning to understand player behaviour, improve game experiences, and streamline company workflows. You'll collaborate closely with our experienced data science team, receive mentorship and make a real impact by applying data science in a production environment. This is a fantastic opportunity to learn, grow, and contribute to the insights that bring our games to life.
In this role, you can expect to be involved in:
- Opportunity Exploration: Assist in identifying potential areas where data science and machine learning can enhance our products and operations
- Data Extraction & Exploration: Query our databases to extract relevant game data and assist with exploratory data analysis, hypothesis testing, and feature engineering
- Model Development Support: Support the development and evaluation of machine learning models aimed at improving in-game features and key product metrics
- Communication & Collaboration: Learn to communicate project goals, progress, and preliminary outcomes to various stakeholders, including production, design, and engineering teams
- Research & Learning: Gain exposure to various data science methodologies including statistical analysis, A/B testing, and machine learning techniques
- Tool Proficiency: Develop proficiency in using data analysis and programming tools commonly used in data science
- Project Support: Assist in setting up and preparing data science projects and contribute to data collection efforts
What you'd bring to the team:
- Pursuing a Bachelor's or Master's degree in a STEM discipline such as Computer Science, Statistics, Mathematics, Engineering, or a similar program
- Basic understanding of statistical concepts and data analysis methods, including descriptive statistics and A/B testing
- Familiarity with machine learning concepts (e.g. regression/classification, overfitting/regularization, hyperparameter tuning)
- Familiarity with python and relevant libraries (e.g. numpy, pandas, scikit-learn)
- Basic SQL skills (e.g. joining, grouping, filtering)
- Ability to work on multiple tasks and projects concurrently
- Strong communication and analytical skills.
Nice to Haves:
- A passion for games and understanding player behaviour
- Experience with data visualization tools (e.g. Matplotlib, Tableau)
- Experience with version control systems (e.g. Git)
Perks of being a Kabam intern:
- Our success is due to the hard work of our people. We share our success with our people through flexible benefits and reward programs, sweet swag, snacks, and more.
$26 - $28 an hour
The typical hiring range listed above is specific to candidates located in Vancouver. The salary will be determined based on your knowledge, skills and competencies, and you’ll have room to grow after you join!
If you’re interested in the position but your expectations don’t fully align with the provided range, we still encourage you to apply! Considerations may be made based on your experience level.
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