Associate Business Data Scientist

Job location: This position is to be hired in Canada and will be remote unless you live in the Ottawa area in which the role will be hybrid.

About the team

You would be a contributing member of the Kinaxis Professional Services organization, collaborating with team members to deliver committed customer projects using Kinaxis RapidResponse® software. If you love solving analytical problems, analyzing complex datasets, finding actionable insights, communicate the story within the data and learning new technologies, this role is for you!

What you will do

• Develop cutting edge expertise in Kinaxis’ AI/ML capabilities to translate customer’s business needs into actionable insights that can drive business improvements.
• Support customer to define and implement value metrics and KPIs that will demonstrate visible business success.
• Evaluate and measure models’ outputs to ensure client requirements are met and drive continuous value.
• Seamlessly collaborative with cross functional teams of Product Data Scientists, ML directors and  customer business and IT to complete ML projects.
• Provide on-going support and thought leadership to customers to continually improve their AI/ML models by demonstrating and delivering value.
• Work with Product development and R&D in shaping the product roadmap and provide thought leadership content and points of view on industry trends.
• Work with pre-sales and help shape a point of view for each customer about how the Kinaxis capabilities can best support them.

What we are looking for

• Ability to understand customers business’ and supply chain needs and leverage it to effective design solutions to drive business value.
• Ability to effectively communicate with executives and business stakeholders to shape and influence decision making.
• Conceptual knowledge of AI/ML techniques and eager to learn and adopt new approaches and methodologies.
• Hands-on experience with relational databases (e.g. Oracle, MySQL, MS Sql Server, PostgreSQL), BI/data analysis. Working knowledge of distributed computing techniques.
• Working knowledge of ML stack such as Kubernetes, Project Jupyter, Kafka and workflow engines etc.
• Ability to translate planning processes to different industrial environments such as B2B, Life Sciences/ FMCG/ Automotive industry.
• Excellent interpersonal, presentation and client relationship building and facilitation skills (meeting sessions, conflict resolutions, brainstorming etc.)