Sr. Business Data Scientist

About Kinaxis

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, measure and improve models’ outputs to ensure client requirements are met and drive continuous value.  
• Supervise data validation and analysis and proactively address any data gaps.  
• Act as an SME in guiding the execution of data workflows and seamlessly collaborate with cross functional teams of Data Scientists, machine learning engineers, data engineers and customer business teams to complete advanced level/complex 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.
• Be involved in exploring emerging technologies and tools that enhance the organization's data capabilities.
• Experience in building Reports/visualizations to share findings and summaries to both clients and internal teams.

Technologies we use

• Strong technical background in analyzing and validating data, machine learning models or statistics using Python, Spark, SQL in various development environments.
• Experience with data visualization tools (e.g., Tableau, Power BI, python) and proficiency in creating impactful visualizations and dashboards.
• Advanced experience with relational databases (e.g. Oracle, MySQL, MS Sql Server, PostgreSQL) and Hive, cloud environments. Working knowledge of distributed computing techniques.
• Advanced knowledge of Machine learning stack such as Kubernetes, Docker, Project Jupyter, Kafka and workflow engines.
• Ability to translate supply chain planning processes to different industry verticals such as Retail, High Tech, etc.

What we are looking for

• Bachelor’s degree in engineering, computer science, statistics, mathematics, data science or a related field. Master's degree or equivalent experience preferred.
• Minimum of 5 years progressive experience in complex data science, machine learning and/or mathematical modeling environments, driving business insights to solve complex problems.
• Ability to understand customers’ businesses and supply chain needs and leverage it to effectively design solutions to drive business value.
• Strong understanding of statistical concepts and techniques, such as hypothesis testing, regression analysis, time series analysis, and experimental design.
• Excellent communication and interpersonal skills, with the ability to effectively communicate complex technical concepts to non-technical stakeholders, to shape and influence decision-making.
• Strong client relationship building and facilitation skills.
• Proven ability to work independently and collaboratively in a fast-paced environment, managing multiple projects simultaneously and driving them to completion.
• Client facing experience in a consulting role, ideal.  

#Intermediate, #Senior #LI-KJ

Work With Impact: Our platform directly helps companies power the world’s supply chains. We see the results of what we do out in the world every day—when we see store shelves stocked, when medications are available for our loved ones, and so much more. 

Work with Fortune 500 Brands: Companies across industries trust us to help them take control of their integrated business planning and digital supply chain. Some of our customers include Ford, Unilever, Yamaha, P&G, Lockheed-Martin, and more. 

Social Responsibility at Kinaxis: Our Diversity, Equity, and Inclusion Committee weighs in on hiring practices, talent assessment training materials, and mandatory training on unconscious bias and inclusion fundamentals. Sustainability is key to what we do and we’re committed to net-zero operations strategy for the long term. We are involved in our communities and support causes where we can make the most impact.

People matter at Kinaxis and these are some of the perks and benefits we created for our team:

• 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

For more information, visit the Kinaxis web site at www.kinaxis.com or the company’s blog at http://blog.kinaxis.com.

Kinaxis strongly encourages diverse candidates to apply to our welcoming community. We strive to make our website and application process accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at recruitmentprograms@kinaxis.com. This contact information is for accessibility requests only and cannot be used to inquire about the status of applications.

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.