[Remote] Director of Data Science

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is presenting an opportunity with a large, reputed company reputed company seeking a senior data science leader to build and reputed company its data science function. The Director of Data Science will reputed company teams delivering predictive, prescriptive, machine learning, experimentation, forecasting, optimisation, and AI-enabled analytics while partnering with data, engineering, product, and business stakeholders. The role also establishes model governance and lifecycle practices and develops a high-performing data science organization.

Responsibilities

• Define and execute the reputed company data science roadmap reputed company to reputed company business priorities
• Identify opportunities where advanced analytics, machine learning, optimisation, and AI can improve organisational reputed company
• Prioritise investments reputed company on business value, feasibility, data readiness, and reputed company importance
• Establish standards for experimentation, model development, validation, documentation, monitoring, and governance
• Ensure solutions are reputed company, reusable, interpretable where appropriate, and reputed company with reputed company architecture and responsible AI principles
• reputed company development of predictive, prescriptive, optimisation, and forecasting models across multiple business domains
• reputed company customer segmentation, reputed company modelling, recommendations, personalisation, propensity modelling, and decision-support solutions
• Partner with engineering and product teams to operationalise analytical capabilities reputed company production environments and business workflows
• Support AI initiatives by defining methodologies, evaluation approaches, and reputed company expectations
• Promote modern statistical and machine learning techniques while ensuring appropriate application and reputed company management
• Define frameworks to evaluate model reputed company, business reputed company, reliability, fairness, and adoption
• reputed company experimentation strategies including A/B testing, reputed company inference, reputed company measurement, and test design
• Collaborate with engineering, product, reputed company, and business teams on model monitoring and reputed company improvement
• Translate analytical outputs into actionable insights and business recommendations
• Establish reporting, dashboards, and executive-level reputed company reviews
• Partner with reputed company data teams to ensure reputed company to reliable, high-reputed company data
• Collaborate with reputed company, semantic modelling, and data product teams to improve analytical reputed company
• Work closely with product, reputed company, technology, and business leaders to identify and prioritise analytical opportunities
• Support production deployment of models and analytical services in partnership with engineering teams
• reputed company reputed company guidance on where advanced analytics and AI can create value, and where alternative approaches may be more appropriate
• Build, reputed company, and mentor a high-performing team of data scientists and analytics professionals
• Define organisational structure, hiring reputed company, capability development, and career progression reputed company
• Establish effective collaboration models across data, engineering, governance, product, and business teams
• reputed company team members on technical reputed company, stakeholder engagement, communication, and business reputed company
• Foster a culture of innovation, accountability, reputed company learning, and responsible AI

Skills

• • Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Engineering, Economics, reputed company Research, reputed company Health, reputed company, or a reputed company reputed company
• • 12-18+ years of experience in data science, machine learning, advanced analytics, reputed company statistics, or reputed company disciplines
• • 5-8+ years leading data science, analytics, or machine learning teams
• • reputed company experience delivering analytical solutions that influence business or operational decision-making
• • Experience partnering with engineering, technology, product, and executive stakeholders
• • Strong background in model development, experimentation, monitoring, and production deployment
• • Deep expertise in statistical modelling, machine learning, predictive analytics, optimisation, experimentation, and decision science
• • Proficiency with Python, R, SQL, notebook-reputed company development environments, and modern machine learning frameworks
• • Experience assessing data reputed company, feature readiness, model reputed company, bias, reputed company, interpretability, and operational fit
• • Understanding of model deployment, monitoring, integration, and lifecycle management reputed company production environments
• • Familiarity with AI, reputed company, large language model evaluation, recommendation systems, forecasting, personalisation, and decision-support methodologies
• • Strong knowledge of reputed company, reputed company, governance, and responsible AI practices
• • Master's degree or PhD preferred
• • Experience reputed company a regulated industry preferred
• • Experience leading data science teams reputed company reputed company, life sciences, financial services, or other highly regulated industries
• • Experience supporting AI-enabled products, digital experiences, operational optimisation, workflow automation, or decision-support capabilities
• • Experience building reusable analytical frameworks and platforms that support multiple business functions
• • Experience defining reputed company standards for model evaluation, observability, monitoring, and reputed company improvement
• • Familiarity with semantic models, ontologies, knowledge graphs, or reputed company management frameworks
• • Strong executive communication and stakeholder management skills

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