Data Science Advisor

• Blue Yonder is seeking a Data Scientist to support the presales function within a dynamic team to work with customers to position our capabilities to solve customers and prospects needs in the retail and supply chain domain and leverage machine learning as a competitive advantage. 

Scope:

•  This role will demonstrate and leverage in-depth knowledge on machine learning and Blue Yonder capabilities to provide thought leadership and expertise internally and to customers through sales presentations and proof of concepts.

What you’ll do:

• Manage and coach the team on the solution positioning to our customers and prospects validating that they drive business outcome and call out the Blue Yonder key differentiators.

• Collaborate with a cross-functional team to create the account strategy, develop a solution blueprint, build a business case, and present the solution.

• Collaborate extensively with a broad ecosystem within Blue Yonder, which includes all levels of the Sales organization, Product Development, Professional Services, Transformation Advisory, Business Development, as well as our Partner ecosystem

• Conduct Proof of Value/Proof of Concept assessments (qualification) 

  • Support all phases of data integration  

  • Is able to prioritize topics and challenges concerning modeling and KPIs and if necessary, quickly reprioritize 

  • Helps in understanding/choosing the right models and KPIs 

  • Develop new tools and improve existing tools for POC/POVs

• Reviewing RFP, POC and all other documents in need of a data science expertise  

• Interact with product management & product development regarding new releases and new functionality and act as the liaison to communicate to the rest of the team 

• Interact with customer success and support knowledge transfer in both directions, e.g. challenges faced in POCs, issues found in operation of customers 

• Ability to prepare and deliver presentations for internal use, management, and executive level audiences. 

• Understand the requirements, use cases and business processes and familiarize with exploratory industries to attain domain knowledge

What we are looking for:

• Creativity in finding solutions in complex environments 

• Strong analytical mindset, critical thinking and problem solving 

• Ability to develop and maintain productive relationships with the team, customers, partners, and consultants. 

• Ability to work independently and be effective/proactive in a relatively unstructured environment. 

• Knowledge of business processes in Retail/Mfg. 

• Knowledge of business relevant metrics/KPIs in Retail/Mfg. 

• Domain knowledge to understand how the Blue Yonder solutions within the area of focus can be configured and delivered to better facilitate customer business processes

• Advanced knowledge of Statistics, Probability, Linear Algebra and Calculus 

• Advanced knowledge in Data Science and Machine Learning skills like outlier handling, data imputation, bias, variance, cross validation, linear regression, logistic regression, random forest 

• Experienced in programming in Python, SQL  

• Good understanding of pandas, numpy, scikit-learn or other scientific libraries 

• Experience with cloud-based ecosystems – preferably, Microsoft Azure 

• Experience using visualization tools and libraries  

• Experienced in defining problems, collecting data, establishing facts, and drawing valid conclusions

Location

• Germany — travel required.

Our Values

If you want to know the heart of a company, take a look at their values. Ours unite us. They are what drive our success – and the success of our customers. Does your heart beat like ours? Find out here: Core Values

Diversity, Inclusion, Value & Equality (DIVE) is our strategy for fostering an inclusive environment we can be proud of. Check out Blue Yonder’s inaugural Diversity Report which outlines our commitment to change, and our video celebrating the differences in all of us in the words of some of our associates from around the world.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.