Lead Data Scientist

• You will lead and manage data science projects from inception to completion, including goal-setting, scope definition and ensuring on-time delivery with cross team collaboration.
• You will collaborate with stakeholders to understand their strategic objectives and identify opportunities to leverage data and data quality for enabling AI and machine learning.
• You will be responsible for the overall AI system design, problem framing and governance, identifying and managing risks and issues.
• You will design, develop and implement data science strategies that drive measurable business results.
• You will design experiments for the team to rapidly test ideas and assumptions, and identify future courses of action.
• You will use quality metrics to select machine learning models that will be deployed in the production environment.
• You will communicate technical findings and insights to stakeholders in a clear, easy and concise way, keeping the stakeholders in mind.
• You will contribute to the growth of the data science community along with promoting a culture of data literacy within the organization.
• You will address ethical concerns and adhere to ethical guidelines using FATTER AI (fairness, accountability, transparency, trustworthiness, explainability, responsibility).
• You will work with CD4ML practices and data versioning tools.

• You have experience in leading the analysis and modeling of different datasets and overseeing an inception to deploying and productionizing the models.
• You have experience with statistical modeling, hypothesis testing, machine learning, deep learning, optimization and other data science techniques to implement end-to-end data science projects.
• You understand the specialized areas of AI and possess a speciality with at least one of them (i.e.: NLP/computer vision/Generative AI, etc)tc).
• You have experience in Python and can write production-ready code that is easy to evolve and test.
• You gather and preprocess large volumes of structured and unstructured data from various sources, ensuring data quality and integrity.
• You analyze datasets using statistical and visualization techniques to identify patterns, trends and relationships.
• You develop and implement machine learning models, algorithms and predictive analytics to solve specific business problems or improve existing processes.
• You evaluate model performance using appropriate metrics and validate models to ensure robustness and reliability.
• You interpret and effectively communicate findings and insights to non-technical stakeholders through reports, presentations and visualizations.
• You ensure compliance with data privacy regulations and ethical standards when handling sensitive information.

• You understand the importance of stakeholder management and can easily liaise between clients and other key stakeholders throughout projects, ensuring buy-in and gaining trust along the way.
• You are resilient in ambiguous situations and can adapt your role to approach challenges from multiple perspectives.
• You don't shy away from risks or conflicts, instead you take them on and skillfully manage them.
• You are eager to coach, mentor and motivate others and you aspire to influence teammates to take positive action and accountability for their work.
• You enjoy influencing others and always advocate for technical excellence while being open to change when needed.
• You are a proven leader with a track record of encouraging teammates in their professional development and relationships.
• Cultivating strong partnerships comes naturally to you; You understand the importance of relationship building and how it can bring new opportunities to our business.

Thoughtworks