What are the responsibilities and job description for the Business Data Scientist - Remote position at Kinaxis?
Solution Consultant
Job location: This is a virtual role. You may work anywhere from home and be based anywhere in the USA or Canada.
About the team
You will 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, forecasting using 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 Data Scientists, machine learning engineers, data engineers and customer business teams to complete challenging machine learning projects.
- Provide on-going support and thought leadership to customers to continually improve their AI/ML models by demonstrating and delivering value.
- Work with multiple teams to shape the product roadmap and provide thought leadership content and points of view on industry trends and user stories
- 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
- A minimum of 3 years of experience in a relevant capacity
- Strong technical background in analyzing and validating data, machine learning models or statistics using python, spark, SQL in various development environments
- Ability to understand customers business’ and supply chain needs and leverage it to effectively design solutions to drive business value.
- Ability to effectively communicate with executives and business stakeholders to shape and influence decision making.
- Hands-on experience with relational databases (e.g. Oracle, MySQL, MS Sql Server, PostgreSQL) and Hive, cloud environments. Working knowledge of distributed computing techniques.
- Working knowledge of Machine learning stack such as Kubernetes, Docker, Project Jupyter, Kafka and workflow engines.
- Ability to translate planning processes to different industry verticals such as Retail, High Tech, etc.
- Excellent interpersonal, presentation and client relationship building and facilitation skills (meeting sessions, conflict resolutions, brainstorming etc.)
- Client facing experience (consulting roles a plus)