Associate Data Scientist

Kantar • Bryanston, ON

4d • Onsite

About The Position

As an Associate Data Scientist on our Global Data Science and Innovation team, you will play a critical role in developing advanced analytical solutions that drive our organisational growth. Your work will involve collaborating with colleagues to implement cutting-edge AI/ML projects, directly impacting our ability to scale and maintain industry-leading standards. You will fit into our team by working closely with software engineers, product delivery teams, and customer success colleagues to ensure seamless integration of our solutions. This role not only requires technical expertise but also flexibility and strong collaboration skills to represent our innovative initiatives to both internal and external stakeholders!

Requirements

• Proficiency in coding languages such as R and Python.
• Strong knowledge of Statistical and Machine Learning models.
• Familiarity with their applications to marketing, market research, or media measurement would be valuable.
• Experience with manipulation and maintenance of databases (e.g. SQL).
• Ability to work effectively in global setups with diverse cross-geography teams and cultures.
• Strong attention to detail and the ability to balance big-picture thinking with meticulousness.
• Energetic, self-driven, curious, and entrepreneurial mindset.

Nice To Haves

• Experience in developing and maintaining live products is desirable but not required.
• Familiarity with cloud platforms like Azure, knowledge of Git, and containerisation tools (e.g. Docker) are a plus.

Responsibilities

• Develop and integrate new features to enhance functionality in our products and models for internal and external users.
• Champion best practices in software development within the team.
• Write comprehensive tests and documentation to ensure reliability.
• Create and maintain efficient pipelines and infrastructure for seamless deployment.
• Deploy models into production, ensuring their stability and performance.
• Collaborate with engineering teams to achieve cohesive organisational goals.
• Share insights and innovative solutions within the AI/ML domain through cross-team collaboration.
• Research new methodologies, techniques, and algorithms to keep our products as the best in class in the market.

Benefits

• Equality of opportunity for everyone is our highest priority and we support our colleagues to work in a way works for them.
• We encourage applications from all backgrounds and sections of society.
• We want to create an equality of opportunity in a fair and supportive working environment where people feel included, accepted and are allowed to flourish in a space where their mental health and well being is taken into consideration.
• We want to create a more diverse community to expand our talent pool, be locally representative, drive diversity of thinking and better commercial outcomes.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: No Education Listed