Director Data Science AI/ML

The Director will lead a team of data scientists, machine learning engineers, and AI researchers. This hands-on role involves driving strategy, developing advanced AI models, and ensuring the successful deployment of AI solutions across various business functions. What You’ll Do for Us: Business Collaboration: Work closely with cross-functional teams to understand business requirements, including Finance, Marketing, and Supply Chain, and translate them into AI/ML solutions. Model Development: Develop, implement, and optimize ML and AI algorithms to predict outcomes and derive insights from large structured and unstructured datasets. End-to-End Solutions: Oversee the complete lifecycle of AI/ML projects, from ideation to deployment and monitoring. Data Insights: Visualize and interpret data, creating actionable reports and insights. Scalability: Partner with ML Ops and other cross-functional teams to scale and operationalize ML and AI use-cases. Knowledge Sharing: Build and maintain a robust library of reusable data science solutions, templates, and code. Automation: Utilize CI/CD principles to automate deployments and improve repeatability. Stakeholder Communication: Clearly communicate complex analytical work to both technical and non-technical stakeholders, including executive management. Mentorship: Mentor and guide junior and aspiring data scientists within the organization. Innovation: Stay current with industry trends and advancements in data science, machine learning, and generative AI. Qualifications and Requirements: Education: Advanced degree (Ph.D. preferred) in Computer Science, Data Science, Machine Learning, Artificial Intelligence, Statistics, or a related field. Experience: At least 10+ years in data science, machine learning, and AI, with a proven track record of delivering successful projects. Technical Skills: Expertise in programming languages (Python, R, SQL) and machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Big Data: Experience with big data technologies (Hadoop, Spark, PySpark) and cloud platforms (AWS, Azure, GCP). Generative AI: Familiarity with generative AI techniques such as GANs, autoencoders, and transformers. Soft Skills: Strong problem-solving skills, attention to detail, and the ability to manage multiple priorities in a fast-paced environment. Communication: Excellent verbal and written communication skills, with the ability to convey complex technical information to diverse audiences. Leadership: Demonstrated leadership skills and experience managing cross-functional teams. What We Offer: Innovation & Technology: The chance to work with an award-winning team on the cutting edge of innovation. Leadership Exposure: Opportunities to interact with global technology leaders and expand your network. Agile Environment: A work environment that embraces agile principles, empowering you to experiment, iterate, and innovate. Skills: Data Science; Influencing; Microsoft Azure; Datasets; Data Warehousing (DW); Software Development; Data Driven; Agile Methodology; Application Development; Strategic IT; Artificial Intelligence (AI); Software Development Life Cycle (SDLC); Change Management; Machine Learning We are taking deliberate action to nurture an inclusive culture that is grounded in our company purpose, to refresh the world and make a difference. We act with a growth mindset, take an expansive approach to what’s possible and believe in continuous learning to improve our business and ourselves. We focus on four key behaviors – curious, empowered, inclusive and agile – and value how we work as much as what we achieve.

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