Senior ML Data Scientist _ Content Creation Technology Group

Ubisoft Entertainment; Montreal; Hybrid; CAD 80,000 - 120,000; Full time

Job summary

An established industry player is seeking a Senior ML Data Scientist to join their innovative Content Creation Technology Group. In this pivotal role, you will develop cutting-edge machine learning solutions that enhance player experiences, including advanced algorithms that simulate real player behavior. You will work collaboratively with cross-functional teams, conducting experiments and statistical analyses to derive actionable insights. This position offers a unique opportunity to be at the forefront of AI technology, where your contributions will significantly impact the gaming landscape. If you're passionate about leveraging data science to solve complex problems, this is the perfect role for you.

Qualifications

• 3-5 years of experience in machine learning and data science.
• Master's or Ph.D. in applied math or statistics preferred.

Responsibilities

• Develop and optimize ML algorithms and models for player experience.
• Collaborate with teams to define project objectives and requirements.

Skills

Machine Learning Algorithms

Data Science Techniques

Statistical Analysis

Big Data Technology

Python

Software Engineering

Distributed Computing

Communication Skills

Education

Master's degree in applied math, statistics, or machine learning

Ph.D. in relevant field

Tools

PyTorch

TensorFlow

Hadoop

Cassandra

MongoDB

ElasticSearch

Job description

Senior ML Data Scientist - Content Creation Technology Group

The Content Creation Technology Group (CCTG) is looking for a Senior ML Data Scientist to work in a team that develops machine learning solutions to improve the player experience, including a project on bots that simulate real competing players. The Senior ML Data Scientist will create highly efficient self-learning systems that can adapt and evolve over time, pushing the boundaries of AI technology. Join us and be at the forefront of innovation in the field of machine learning.

Main responsibilities:

1. Create, validate, test and update ML algorithms and models.
2. Identify, prepare, and analyze data for training and testing purposes.
3. Conduct experiments, perform statistical analysis, fine-tune and optimize models.
4. Use analytical rigor and statistical methods to analyze large amounts of data, developing actionable insights using advanced statistical techniques such as predictive statistical models, user/player profiling, segmentation analysis, survey design, analysis and data mining.
5. Oversee and design various proofs of concept to validate AI projects.
6. Research new ways for modeling and predicting behavior and design experiments to answer targeted questions.

Other responsibilities:

1. Collaborating with cross-functional teams to define project requirements and objectives.
2. Conducting research to stay up to date with the latest advancements.
3. Documentation, presentations, and knowledge sharing to communicate complex AI concepts to both technical and non-technical collaborators.
4. Mentor other members of the team.

QUALIFICATIONS

Education:

• Master's degree and/or Ph.D. preferred in applied math, statistics, machine learning or equivalent experience.
• 3 to 5 years of complex experience and job-related in-depth expertise.

Core Skills:

• Ability to use and develop machine learning algorithms and related proven methods.
• Ability to use advanced data science techniques.
• Ability to use statistics to understand behavior of systems and/or players.
• Being familiar with Big Data Technology (Hadoop, Cassandra, MongoDB, ElasticSearch).
• Passion for using data science to solve problems.
• Ability to quickly assess a problem both qualitatively and quantitatively.

Other skills:

• Software engineering skills.
• Being familiar with distributed computing to train models.
• Proficient in Python and have experience with libraries and frameworks such as PyTorch and/or TensorFlow.
• A good knowledge of cloud-based platforms is an asset.
• Team player with excellent organizational, communication, and interpersonal skills.