Business Data Scientist

Business Data Scientist Join to apply for the Business Data Scientist role at Kinaxis. About Kinaxis Elevate your career journey by embracing a new challenge with Kinaxis. We are experts in tech, but it’s really our people who give us passion to always seek ways to do things better. As such, we’re serious about your career growth and professional development, because People matter at Kinaxis. In 1984, we started out as a team of three engineers based in Ottawa, Canada. Today, we have grown to become a global organization with over 2000 employees around the world, and support 40,000+ users in over 100 countries. As a global leader in end-to-end supply chain management, we enable supply chain excellence for all industries. We are expanding our team in Mexico and around the world as we continue to innovate and revolutionize how we support our customers. Our Professional Services and Product Management teams, initially formed in 2013, are based in Guadalajara, Mexico. Just over a decade later, our vision of growth in this region has allowed us to expand our teams by hiring and developing new graduates and other professionals. Location This is a remote position. You can work from home and be located anywhere in Mexico. About the Role As a member of the Innovation and Data Science team, the Business Data Scientist (BDS) has progressive knowledge and skill in the areas of data science and machine learning to help develop data-driven insights and solutions to solve Kinaxis customers’ most pressing supply chain challenges. As the BDS, you will work as part of a team to solve complex business issues through effective data analysis, statistical modeling, and machine learning techniques and be part of customer facing projects. Responsibilities 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 to customers to continually improve their AI/ML models by demonstrating and delivering value. Present findings and results to customers and/or internal stakeholders. Work with pre‑sales and help shape a point of view for each customer about how the Kinaxis capabilities can best support them. Develop a strong understanding of the Maestro solution. Qualifications Bachelor’s degree in engineering, computer science, statistics, mathematics, data science or a related field. Master's degree or equivalent experience preferred. 3+ years of hands‑on experience in data science, data analytics, machine learning and/or mathematical modeling environments, driving business insights to solve complex problems. Proficiency in analyzing and validating data, machine learning models or statistics using Python, Spark, SQL in various development environments. Ability to understand customers businesses and supply chain needs and leverage it to effectively design solutions to drive business value. Excellent interpersonal, presentation and client relationship building and facilitation skills (meeting sessions, conflict resolutions, brainstorming etc.) Experience in building Reports/visualizations to share findings and summaries to both clients and internal teams. Ability to effectively communicate complex technical concepts to non‑technical stakeholders. Able to work independently and collaboratively in a fast‑paced environment, managing multiple projects simultaneously and driving them to completion. Role Specific Skills and Qualifications: RapidResponse authoring is a nice to have (you will be trained during the onboarding phase) Hands‑on experience with relational databases (e.g. Oracle, MySQL, MS Sql Server, PostgreSQL) and Hive, cloud environments. Working knowledge of distributed computing techniques. Knowledge of supply chain planning or management processes in any one of Kinaxis’ markets such as Retail, Consumer Goods, Manufacturing, High Tech, etc. Client facing experience in a consulting role or analyst role. Working knowledge of Machine learning stack such as Kubernetes, Docker, Project Jupyter, Kafka and workflow engines. Flexibility to accommodate occasional meetings with internal teams or customers in different time zones. Benefits Flexible vacation and Kinaxis Days (company‑wide day off on the last Friday of every month) Flexible work options Physical and mental well‑being programs Regularly scheduled virtual fitness classes Mentorship programs and training and career development Recognition programs and referral rewards Hackathons EEO Statement Kinaxis welcomes candidates to apply to our inclusive community. We provide accommodations upon request to ensure fairness and accessibility throughout our recruitment process for all candidates, including those with specific needs or disabilities. If you require an accommodation, please reach out to us at This contact information is strictly for accessibility requests and cannot be used to inquire about application statuses. Kinaxis is committed to ensuring a fair and transparent recruitment process. We use artificial intelligence (AI) tools in the initial step of the recruitment process to compare submitted resumes against the job description, to identify candidates whose education, experience and skills most closely match the requirements of the role. After the initial screening, all subsequent decisions regarding your application, including final selection, are made by our human recruitment team. AI does not make any final hiring decisions. For more information, visit the Kinaxis web site at or the company’s blog at #J-18808-Ljbffr