What You’ll Do:

Roadmap Input &amp; New Data Science Approaches (10%)

<ul>
<li>Provide strategic input into the data science roadmap to align with Blue Yonder’s long-term goals.</li>
</ul>

<ul>
<li>Explore and implement new data science methodologies and generative AI techniques to enhance product offerings.</li>
</ul>

Thought Leadership Collateral (20%)

<ul>
<li>Develop whitepapers, case studies, and presentations showcasing Blue Yonder’s data science capabilities.</li>
</ul>

<ul>
<li>Represent Blue Yonder at conferences, webinars, and industry events to establish thought leadership in AI/ML for supply chain management.</li>
</ul>

Sales, Customer Retention &amp; Proof of Concepts (POCs) (40%)

<ul>
<li>Partner with sales teams to demonstrate the value of Blue Yonder’s solutions to prospective clients through POCs and technical deep dives.</li>
</ul>

<ul>
<li>Collaborate with customers to ensure retention by delivering impactful AI/ML-driven insights and solutions tailored to their needs.</li>
</ul>

<ul>
<li>Act as a trusted advisor for customers, ensuring alignment between their business objectives and our data science strategies.</li>
</ul>

Data Science Projects (30%)

<ul>
<li>Lead the execution of high-impact data science projects from ideation to deployment, ensuring alignment with business objectives.</li>
</ul>

<ul>
<li>Oversee the development of scalable AI/ML models and prototypes that enhance operational efficiency and decision-making for customers.</li>
</ul>

<ul>
<li>Mentor and guide a team of data scientists to achieve technical excellence and foster innovation.</li>
</ul>

What we are looking for:

<ul>
<li>Education: PhD or Masters in Data Science, Artificial Intelligence, Computer Science, Engineering, or a related field is required.</li>
</ul>

<ul>
<li>Experience: overall 18+ years of experience and have proven experience in applying machine learning, deep learning, and data analysis within the supply chain domain.</li>
</ul>

<ul>
<li>Technical Skills: Hands-on expertise in Generative AI techniques, prototyping, SQL, R, and Python for statistical analysis and programming.</li>
</ul>

<ul>
<li>Customer-Facing Skills: Strong ability to engage with customers, understand their needs, and deliver tailored solutions that drive business outcomes.</li>
</ul>

<ul>
<li>Communication: Exceptional written and verbal communication skills to effectively convey complex concepts to diverse audiences.</li>
</ul>

<ul>
<li>Leadership: Demonstrated ability to lead cross-functional teams and manage multiple high-priority projects simultaneously.</li>
</ul>

Data Science in Bengaluru (UID-9790)

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Skills Required for Data Science

Job Description for Data Science

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