Associate Business Data Scientist

Job location: This is a remote position. You can work from home and be located anywhere in the United States.

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.)