
Director, Data Science
18 hours 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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