Role Description Looking for Philippines-based candidates Job Role: Construction Estimator / Quantity Surveyor Compensation range: $1,800 AUD - $2,200 AUD / Monthly Engagement type: Independent Contractor Agreement Work Schedule: This role is expected to align with the AU business hours (approx. 9 AM - 5 PM, Monday to Friday) for collaboration, but as a contractor, you’ll have flexibility in how you manage your time. Due to continued growth, the team is seeking an experienced, detail-driven Construction Estimator / Quantity Surveyor to take ownership of core estimating outputs across bespoke new builds and major renovations valued between $1.5M – $10M AUD. You’ll work closely with internal stakeholders (Contract Administrators, Project Managers, and site leadership), along with leading architects and consultants, helping the business price accurately, present clearly, and make confident early-stage decisions. Key Responsibilities - Complete detailed quantity take-offs from architectural, structural, and services documentation. - Build and maintain trade-based estimates (labour, materials, plant) aligned with company templates. - Prepare and issue RFQ packages, scope sheets, and tender queries to subcontractors and suppliers. - Review and level subcontractor quotes, identify scope gaps, and produce comparisons and recommendations. - Assist with value management options and alternatives (rate-based and clearly explained). - Produce accurate internal reports including cost plans, estimate summaries, allowances, exclusions, and risk notes. - Maintain and continuously improve the company price list and rate library. - Provide clear, concise responses to project teams to keep procurement and decision-making progressing efficiently. Qualifications - Minimum 5 years’ experience estimating for high-end residential and/or commercial fit-out projects. - Strong proficiency in Cubit (required) and confidence working from detailed consultant documentation sets. - High attention to detail with strong commercial judgement (scope gaps, exclusions, allowances, and risk). - Excellent written communication, able to explain pricing logic clearly and confidently. - Comfortable working remotely with a Sydney-based team. - Strong Excel skills; experience with Bluebeam, Planswift, or similar tools is beneficial. Work Arrangement & Expectations This is a remote role that will be set up as an independent contractor engagement. To ensure alignment and transparency, successful candidates will be expected to: - Disclose any existing ongoing roles or client work. - Reflect this engagement on their LinkedIn profile (clearly marked as “Independent Contractor”).

• Desenvolver e aprimorar modelos de Machine Learning e Inteligência Artificial Generativa para a geração automática de conteúdos de marketing. • Dar sustentação, evolução e continuidade ao desenvolvimento do projeto como um todo, garantindo a escalabilidade da arquitetura de agentes de GenAI. • Trabalhar na estruturação, adaptação e entrega dos conteúdos gerados para diferentes interfaces (Web, App, Mobile).

• Lead the strategy for metadata within the Commercial Biopharma organization at Pfizer • Govern metadata and align with enterprise systems and use cases, both global and regional • Collaborate with global data consumers to drive standardized data requirements • Author and manage the roadmap for all types of content and other domain specific metadata • Lead enablement and management of data quality reporting and improvement activities • Collaborate with global leads at SVP and VP level to drive innovation to meet evolving business needs • Drive improvements in global data accuracy • Ensure the standardized data taxonomy is leveraged as well as kept up to date • Continuously evolve metadata practices to create new business insights and value • Identify and leverage best practices in the industry to refine Pfizer’s metadata strategy • Look for efficiencies and synergies across teams who handle or use metadata • Lead a team of colleagues with direct reports and contracted support

Role Description As a Staff Data Scientist for Forecasting, you will be the technical leader responsible for building and owning the sophisticated models that power Veho's Sales and Operations Planning (S&OP) process. Your forecasts will be the backbone of our strategic and operational decision-making across our network. - Create the forecasting algorithms that drive our Sales & Operations Planning process. - Build reliable, efficient, and scalable models for our AI/ML capabilities. - Create robust data pipelines to feed analyses and models. - Analyze and evaluate the impact and effectiveness of models in production systems. - Drive science roadmap for forecasting for Veho alongside cross-functional partners. - Leverage AI-native development workflows and tooling (Claude Code, Cursor, Copilot, etc.) to accelerate throughput. - Mentor other Data Scientists and drive team-wide improvements to our data science practices. Qualifications - Bachelor’s Degree plus 8 years of experience in Data Science, Data Engineering or a similar degree, or Master’s Degree plus 5 years of experience, or PhD plus 3 years of experience. - Deep expertise in a variety of time series forecasting methods (e.g., ARIMA, Prophet, exponential smoothing, LSTMs, Transformer-based models) and a strong understanding of their theoretical underpinnings. - Experience in developing and testing forecasting systems in a supply chain context, combining statistical forecasting with human inputs. - Experience building and operationalizing forecasting models for S&OP, demand planning, inventory management, or similar business processes. - Experience leading complex, end-to-end machine learning and data science projects from conception to production. - Experience developing both greenfield systems and building on top of existing systems. - Experience leading projects in collaboration with Operations, Product, Engineering teams. - Strong ability to use AI to accelerate model iteration and testing. - Strong Python and SQL skills, to develop production applications. - Experience with MLOps and model deployment pipelines. - Experience in supply chain is a strong plus. - Experience with combinatorial optimization methods is nice to have but not required. Benefits - Generous equity and incredible career growth opportunities.