
Director, Data Science
2 weeks ago
Overview:
We are seeking a Director of Data Science to lead and innovate within our data science organization. This role will drive thought leadership, customer engagement, and cutting-edge AI/ML solutions while collaborating with cross-functional teams to deliver measurable business impact. The ideal candidate will have a strong background in data science, supply chain expertise, and a passion for solving complex problems through innovative approaches.
What You’ll Do:
Roadmap Input & New Data Science Approaches (10%)
Provide strategic input into the data science roadmap to align with Blue Yonder’s long-term goals. Explore and implement new data science methodologies and generative AI techniques to enhance product offerings.Thought Leadership Collateral (20%)
Develop whitepapers, case studies, and presentations showcasing Blue Yonder’s data science capabilities. Represent Blue Yonder at conferences, webinars, and industry events to establish thought leadership in AI/ML for supply chain management.Sales, Customer Retention & Proof of Concepts (POCs) (30%)
Partner with sales teams to demonstrate the value of Blue Yonder’s solutions to prospective clients through POCs and technical deep dives. Collaborate with customers to ensure retention by delivering impactful AI/ML-driven insights and solutions tailored to their needs. Act as a trusted advisor for customers, ensuring alignment between their business objectives and our data science strategies.Data Science Projects (50%)
Will play a player-coach role, code when needed and lead the execution of high-impact data science projects from ideation to deployment, ensuring alignment with business objectives. Oversee the development of scalable AI/ML models and prototypes that enhance operational efficiency and decision-making for customers. Mentor and guide a team of data scientists to achieve technical excellence and foster innovation.What we are looking for:
Education: PhD in Data Science, Artificial Intelligence, Computer Science, Engineering, or a related field is required. Experience: 18+ years of proven experience in applying machine learning, deep learning, and data analysis within the supply chain domain. Technical Skills: Hands-on expertise in Generative AI techniques, prototyping, SQL, R, and Python for statistical analysis and programming. Customer-Facing Skills: Strong ability to engage with customers, understand their needs, and deliver tailored solutions that drive business outcomes. Communication: Exceptional written and verbal communication skills to effectively convey complex concepts to diverse audiences. Leadership: Demonstrated ability to lead cross-functional teams and manage multiple high-priority projects simultaneously.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
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.
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