Lead Data Scientist

About the role

You will spearhead data science initiatives by guiding projects from initial concept through to production deployment. This role involves translating complex business challenges into actionable AI strategies while mentoring team members and fostering a culture of data literacy.

Key facts

What you'll do

• Lead the end-to-end lifecycle of data science projects, including scope definition and goal setting.
• Collaborate with stakeholders to identify opportunities for machine learning and AI integration.
• Design system architectures, manage project risks, and oversee governance.
• Conduct rapid experimentation to validate ideas and assumptions.
• Select and deploy machine learning models based on performance metrics.
• Translate technical findings into clear insights for non-technical audiences.
• Apply FATTER AI principles to ensure ethical standards in all solutions.
• Implement CD4ML practices and utilize data versioning tools.

Requirements

• Proven experience leading data science projects from inception to production.
• Expertise in statistical modeling, machine learning, deep learning, and optimization.
• Specialization in at least one AI domain such as NLP, computer vision, or Generative AI.
• Proficiency in Python, R, or equivalent tools with the ability to write production-ready code.
• Experience gathering and preprocessing large structured and unstructured datasets.
• Strong stakeholder management skills with a focus on building trust and project buy-in.
• Ability to mentor and motivate team members while advocating for technical excellence.
• Resilience in navigating ambiguous environments and managing conflict.

Skills & tools

• Statistical modeling and hypothesis testing
• Machine learning and deep learning frameworks
• CD4ML practices and data versioning
• Python or R
• Data visualization techniques
• FATTER AI ethical framework

Practical notes

Thoughtworks utilizes AI tools for administrative recruitment tasks like scheduling and drafting communications, but all hiring decisions are made exclusively by human managers. The company maintains a commitment to fairness and monitors AI systems for bias. Applications are kept confidential.