About this role
<div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:16.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px">Purpose of the Job</H2> </div><div><p>The Lead – Data Science is a senior hands-on role within Data & Analytics, responsible for designing, building, deploying, and operationalizing end-to-end AI/ML and Generative/Agentic AI solutions that drive business value. The role leads initiatives from experimentation to scalable, production-grade deployment on GCP (Vertex AI).</p> <p>Key purpose:</p> <ul> <li>Deliver end-to-end AI/ML and GenAI/Agentic AI solutions across the MLOps lifecycle.</li> <li>Build scalable training, serving, and monitoring pipelines on GCP/Vertex AI.</li> <li>Apply Agentic AI frameworks and tokenomics best practices to optimize performance, reliability, and cost</li> <li>Partner with business and engineering teams to translate complex problems into production-ready data science solutions, particularly in supply chain and logistics.</li> </ul></div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:16.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px">Job Description</H2> </div><div><p><strong>AI/ML & GenAI Solution Delivery</strong></p> <ul type="disc"> <li>Design, develop, and deploy end-to-end AI/ML and GenAI/Agentic AI solutions, owning the complete lifecycle from data preparation and model development to deployment and monitoring.</li> <li>Build and optimize Agentic AI workflows using modern frameworks, applying best practices for agent orchestration, tool use, and multi-step reasoning.</li> <li>Apply tokenomics expertise to optimize prompt design, context management, and model selection for cost efficiency and performance at scale.</li> </ul> <p><strong>MLOps & Engineering</strong></p> <ul type="disc"> <li>Establish and maintain robust MLOps practices, including automated model training, versioning, deployment, and continuous monitoring.</li> <li>Build and manage CI/CD pipelines for ML models and AI applications to enable reliable, repeatable, and automated releases.</li> <li>Develop and orchestrate data and ML workflows using Apache Airflow (DAGs) to ensure timely, dependable pipeline execution.</li> </ul> <p><strong>Cloud & Platform</strong></p> <ul type="disc"> <li>Build and operate solutions on GCP, leveraging Vertex AI for model training, tuning, deployment, and serving.</li> <li>Utilize GCP services such as AlloyDB, Cloud Run, Cloud Batch, and Cloud SQL to build scalable, performant, and cost-effective solutions.</li> <li>Implement monitoring solutions to track model health, performance, drift, and resource utilization in production.</li> </ul> <p><strong>Collaboration & Ownership</strong></p> <ul type="disc"> <li>Work closely with data engineers, product teams, and business stakeholders to understand requirements and deliver fit-for-purpose AI/ML solutions.</li> <li>Take end-to-end ownership of assigned initiatives, enhancements, and issues through to closure.</li> <li>Participate in design and architecture discussions, providing practical, solution-oriented recommendations.</li> </ul> <p><strong>Continuous Improvement</strong></p> <ul type="disc"> <li>Contribute to improving data science and MLOps standards, best practices, and documentation.</li> <li>Stay current with advances in GenAI, Agentic AI, and the broader ML tooling ecosystem.</li> <li>Support knowledge sharing and mentor team members on AI/ML best practices.</li> </ul></div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:16.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px">Job Requirements - Experience and Education</H2> </div><div><p><strong>Core Technical Skills</strong></p> <ul type="disc"> <li>3–4 years of hands-on experience in AI/ML, with demonstrable experience in GenAI and Agentic AI.</li> <li>Bachelor's degree in Computer Science, Data Science, Engineering, or a related field (Master's preferred).</li> <li>Proven ability to build end-to-end AI/ML solutions, including full MLOps implementation (training, deployment, monitoring, retraining).</li> <li>Hands-on experience building and managing CI/CD pipelines for ML/AI workloads.</li> <li>Working experience with Vertex AI for model development, training, and serving.</li> <li>Strong working experience on Google Cloud Platform (GCP).</li> <li>Expertise in tokenomics and best practices for Agentic AI frameworks.</li> <li>Familiarity with GCP services such as AlloyDB, Cloud Run, Cloud Batch, and Cloud SQL.</li> <li>Hands-on experience building and orchestrating workflows with Apache Airflow (DAGs).</li> <li>Strong proficiency in Python for model development, data processing, and automation.</li> <li>Strong analytical and troubleshooting skills with the ability to think quickly under pressure.</li> <li>Ability to translate ambiguous business problems into workable technical solutions.</li> <li>Proven track record of driving initiatives to completion with minimal supervision.</li> <li>Clear communication skills, with the ability to explain complex AI/ML concepts in a simple, practical manner.</li> </ul></div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:16.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px">Leadership Behaviors</H2> </div><div><div>Building Outstanding Teams</div><div>Setting a clear direction</div><div>Simplification</div><div>Collaborate & break silos</div><div>Execution & Accountability</div><div>Growth mindset</div><div>Innovation</div><div>Inclusion</div><div>External focus</div></div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:16.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px">Skills</H2> </div><div><div>Adaptability</div><div>Resilience</div><div>Attention To Details</div><div>Communication Skills</div><div>Cross-Functional Collaboration</div><div>Change Management</div><div>Problem Solving</div><div>Analytical Thinking</div><div>Collaborative Mindset</div><div>Problem Diagnosis and Resolution</div></div></div></div>