Data Science Senior Principal
il y a 3 jours
Madrid
CHEP helps move more goods to more people, in more places than any other organization on earth via our 347 million pallets, crates and containers. We employ approximately 13,000 people and operate in 60 countries. Through our pioneering and sustainable share-and-reuse business model, the world's biggest brands trust us to help them transport their goods more efficiently, safely and with less environmental impact. You'll join an international organization big enough to take you anywhere, and small enough to get you there sooner. You'll help change how goods get to market and contribute to global sustainability. You'll be empowered to bring your authentic self to work and be surrounded by diverse and driven professionals. And you can maximise your work-life balance and flexibility through our Hybrid Work Model. Job Description You'll be responsible for managing, developing, and inspiring a high-performing team of data scientists, machine learning engineers, and Generative AI developers. Operating within a squad model, the role focuses on fostering technical excellence across the team by ensuring the quality, scalability, and integrity of their output, rather than directly directing the work. You'll work closely with our Head of Global Data & Analytics and Head of Data Science to establish best practices, provide technical oversight, and act as a guardian of quality assurance across all Advanced Analytics projects and deliverables. You will also play a key role in enabling innovation, supporting professional growth, and aligning the team's capabilities with organisational goals. By fostering a culture of collaboration, curiosity, and technical rigor, you'll ensure that the team is empowered to deliver impactful solutions that drive business outcomes and create value. Key Responsibilities Lead a team of data scientists, providing mentorship and guidance on daily tasks, fostering professional development and capability growth. Oversee the implementation of Continuous Integration/Continuous Deployment (CI/CD) pipelines, ensuring deliverables meet project milestones and quality standards. Apply advanced machine learning, forecasting, and statistical analysis techniques to drive experimentation and innovation on data science projects. Lead the experimentation and implementation of new data science techniques for projects, ensuring alignment with internal and external customer objectives. Communicate project status, methodologies, and results to both technical teams and business stakeholders, translating complex data insights into actionable strategies. Facilitate data science team discussions, providing technical expertise on current methods and guiding decision‑making for optimal outcomes. Contribute to strategic data science initiatives, influencing the direction of key projects and aligning team efforts with broader business goals. Encourage collaboration across teams and functions to ensure seamless integration of data science solutions into business processes and technology platforms. Team Management & Leadership Leadership: Foster team excellence, lead and manage a multidisciplinary team of data scientists, machine learning engineers, and GenAI developers. Quality Assurance: Establish and enforce best practices for coding, model development, and deployment processes. Performance Management: Conduct regular 1:1s, performance reviews, and provide constructive feedback. Collaboration: Act as a bridge between squads and stakeholders, ensuring alignment and collaboration across teams. Upskilling: Develop and execute training plans to enhance the team's technical capabilities. Mentorship: Provide technical mentorship and career guidance to foster continuous learning. Knowledge Sharing: Encourage and facilitate the sharing of knowledge, tools, and techniques within the team. Advanced Analytics Strategy Strategic Alignment: Contribute to the development and execution of the organisation's advanced analytics strategy. Innovation: Identify and drive opportunities for applying advanced analytics, machine learning, and Generative AI. Roadmap Development: Collaborate with stakeholders to define and prioritise the analytics roadmap. Emerging Trends: Stay ahead of industry trends and emerging technologies. Operational Excellence Scalability: Ensure the team's processes, tools and solutions are scalable. Data Governance: Champion robust data governance practices and compliance. Metrics & Impact: Establish and monitor KPIs to measure performance and business impact. Experience 7+ years' leadership experience leading, managing or influencing multiple functions, geographies and stakeholders. Experience managing a large, multicultural, diverse team. Significant previous experience creating and leading cross‑functional and multi‑country business change programmes. Familiarity with modern data science tools and technologies (CI/CD, build, deliver, test‑driven development, automated acceptance testing). Experience managing a portfolio of programmes and initiatives within a matrix structure, delivering customer value propositions and technology relationships. Skills and Knowledge Communicating and inspiring confidence at a senior level with technical and non‑technical audiences. Experience in multi‑facility, international organisations with diverse multi‑cultural corporate cultures. Strong team engagement and motivation skills; adaptability, digital enthusiasm, coaching and communication. Ability to lead in a matrix and build capabilities in global teams. Advocate and ambassador of the 'test, learn, build or pivot' approach. Excellent understanding of machine learning techniques and algorithms. Knowledge of implementing Data Science, Machine Learning and GenAI solutions at scale. Experience with common statistical techniques and data science toolkits. Strong quantitative and analytical skills and experience with data visualisation tools. Applied statistics skills (distributions, statistical testing, regression, etc). Experience with AWS, Databricks and Dataiku. Strong understanding of data structures and algorithms plus solution design. Able to quickly pick up new programming languages, technologies and frameworks. Strong knowledge of applied data science; expertise in machine learning algorithms and data science methods. Strong data wrangling experience with structured and unstructured data. Experience with various programming and scripting languages, databases, processing and storage frameworks plus hyperparameter tuning approaches. Understanding and experience with CRISP‑DM and Agile data science framework. Ability to identify and resolve both people and process issues. Qualifications Bachelor's Degree in Computer Science, Statistics or equivalent. Agile (SCRUM) Certification – desirable. Hybrid Remote To succeed in the role: Bitbucket, Cloud Infrastructure (AWS), Coaching, Code Reviews, Collaboration, Databricks Platform, Data Science, Data Storytelling, Disruptive Thinking, Feedback, Git, Inclusive Leadership, Leading Change, Leading Customer‑Centric Teams, Machine Learning, Mentorship, Motivating Teams, Prioritization, Python (Programming Language), SQL Tools. We are an Equal Opportunity Employer, and we are committed to developing a diverse workforce in which everyone is treated fairly, with respect, and has the opportunity to contribute to business success while realizing his or her potential. This means harnessing the unique skills and experience that each individual brings and we do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state, or local protected class. Individuals fraudulently misrepresenting themselves as Brambles or CHEP representatives have scheduled interviews and offered fraudulent employment opportunities with the intent to commit identity theft or solicit money. Brambles and CHEP never conduct interviews via online chat or request money as a term of employment. If you have a question as to the legitimacy of an interview or job offer, please contact us at . #J-***-Ljbffr #J-18808-Ljbffr