• Own end-to-end modelling of LTV, user segmentation, retention, and marketing efficiency to inform media optimization and value attribution. • Collaborate with Paid Media and RevOps to optimize SEM performance, predict high-value cohorts, and power strategic bidding and targeting. • Work closely with Product Insights and General Managers (GMs) to define core metrics, KPIs, and success frameworks for new launches and features. • Conduct deep-dive analysis of user behaviour, funnel performance, and product engagement to uncover actionable insights. • Monitor and explain changes in key product metrics, identifying root causes and business impact. • Work closely with Data Engineering to design and maintain scalable data pipelines that support machine learning workflows, model retraining, and real-time inference. • Build predictive models for conversion, churn, revenue, and engagement using regression, classification, or time-series approaches. • Identify opportunities for prescriptive analytics and automation in key product and marketing workflows. • Support development of reusable ML pipelines for production-scale use cases in product recommendation, lead scoring, and SEM planning. • Present insights and recommendations to a variety of stakeholders — from ICs to executives — in a clear and compelling manner. • Translate business needs into data problems, and complex findings into strategic action plans. • Work cross-functionally with Engineering, Product, BI, and Marketing to deliver and deploy your work.

Role Description The Conservation Impact System Team (IST) in the Chief Conservation Office plays a critical role in supporting global conservation implementation. The IST supports conservation teams, leaders, and executives to generate and use evidence in adaptive management and reporting so that TNC can achieve its goals for biodiversity, climate, and people. The Africa Regional Advisor will help the CDT provide more direct and integrated support for conservation data that meets the demand of conservation teams and leaders within TNC’s Africa Region to generate and use evidence to improve the quality of their decisions and their impact. - Cultivate an understanding of what drives customer satisfaction in the Africa region. - Serve as a cross-cultural/organizational broker and learning advocate. - Build and maintain strong, trusting relationships with key leadership and experts in the Africa Region. - Collaborate with MEL staff in Africa to ensure CDT's support aligns with their vision for conservation science data. - Work with regional MEL leaders and partners to align science data support with priority needs. - Collaborate closely with Africa MEL lead, CDT colleagues, and CST Africa regional counterpart. - Help deliver CDT offerings and provide technical and data science support. - Use a learn-by-doing approach to the development, implementation, and iteration of CDT offerings. This is a 2-year termed position. The Conservation Data Advisor - Africa must reside and have work authorization in one of the TNC Africa program locations (Kenya, Tanzania, or Zambia). Qualifications - Master's Degree in science related field and 4 years of experience in advancing data quality and the use of data in management/business. - Experience with conservation and/or development metrics and their monitoring and evaluation data systems. - Proven experience in supporting rigor, consistency, and validation of program indicator methodologies. - Strong working knowledge of data analysis and visualization tools (e.g., Power BI, Tableau, GIS, Python, Excel, R). - Experience leading and mentoring teams and building capacity of team members. - Record of supporting conservation strategy and decisions with data. - Experience leading or participating on cross-functional teams. - Willingness to work a flexible schedule in order to align with a variety of time zones. - Knowledge of, and commitment to, centering equity, justice and inclusion principles and practices. - Deep multi-cultural or cross-cultural experience within the Africa Region. - Willingness and authorization to reside and work in designated TNC Africa program locations. - English language proficiency. Requirements - Record of helping scale conservation strategies or solutions using data. - Domain area expertise in large-scale protection or management of lands/freshwater/oceans, climate or biodiversity policy, renewable energy siting, natural climate solutions, conservation finance and markets, regenerative agriculture, sustainable fisheries or aquaculture, watershed management, community-based management, or equitable conservation. - Experience managing complex projects including the financial aspect and coordinating the work of peers and partners. - Self-driven with a bias towards action. - Ability to leverage the latest technology to achieve desired results. - Excitement about working on an agile team that is continually adapting their own ways of working. - Experience with Indigenous and Traditional knowledge. - Experience with a growth mindset, creativity, and resourcefulness. - Experience with strategy or strategic initiatives. - Second language proficiency in French or Portuguese. Benefits - Competitive and comprehensive benefits packages tailored to the individual countries where we work. - Health care benefits, retirement benefits, parental leave, paid time off, life insurance, and disability coverage. - Employee assistance program and other life and well-being benefits. - Flexible work environment that supports the health and well-being of the people we employ.

• Create processes and applications using Machine Learning or Generative AI that deliver business value through insights, categorization, process automation, or new products; • Translate complex technical concepts into accessible language for non-technical teams, facilitating collaboration and mutual understanding; • Work closely with other teams, anticipating needs and providing support to ensure project success; • Develop process and product projects that utilize Machine Learning and GenAI, from solution conception and detailed refinement to implementation, model and prompt development, and production monitoring; • Maintain AI-driven processes, ensuring service execution and availability, as well as model accuracy and other performance metrics according to specifications.

Title: Data Scientist Location: Sydney Australia Job Description: We're hipages, Australia's #1 digital platform connecting homeowners with trusted tradies. As an ASX-listed tech company, we're on a mission to transform the trade industry and improve lives. With teams across Australia, New Zealand, the Philippines and Vietnam, we work as one team with a shared purpose. We're proud to be a certified Great Place to Work and WORK180's #1 Employer for Women. At hipages, you'll find real impact, career growth and a workplace where everyone belongs. About the role: As a Data Scientist, you will be supporting hipages through data-driven insights and enabling the business through both data capabilities and advanced application of data to business problems. Your role contributes to the development and execution of hipages' commercial strategy. You will be influential in supporting the hipages marketplace as we continue to evolve and apply your experience to find the best experience for our customers. You'll design and deploy machine learning applications as well as leverage hipages' data assets to discover insights and shape the product experience. Why join us? - Hybrid working model - In-house Talent Development team to prioritise personal and career growth - Competitive salary, benefits and perks - Cross-functional collaboration - Hands-on learning opportunities and workshops for continuous upskilling How you will add value: - Analyse data, trends, and results, as well as translate into business impact for stakeholders and recommendations for product enhancements - Analyse the acquisition funnel to uncover insights and opportunities that drive jobs and tradie growth - Contribute to growing our user base by supporting segmentation strategies to build a customised consumer experience - Design, implement, launch and measure experiments to test new products and packages - Identify new commercial opportunities for advanced analytics within the organisation, leveraging AI/ML to drive growth - Identify commercial opportunities leveraging large and/or complex, internal and external data assets About you: - Passionate about all things data, and the ability to digest complex data and storytelling - Hands-on experience with A/B testing for SaaS products - Experience in classical machine learning - Experience working with enterprise data warehouses - Advanced proficiency in Python and strong SQL skills - Great communication skills with the ability to collaborate with cross-functional teams to drive strategic outcomes Life at hipages: We're more than just a workplace. We're a place where you can be yourself, do great work and grow your career. Recognised as a Great Place to Work, our inclusive, supportive culture helps people thrive. You'll use the best tools and tech, with real impact on our products and customers. We invest in your development and lead with coaching, not micromanagement - it's why 85% of our team say their leader is great. And there's more: - Diverse, collaborative teams that love solving problems - Agile squads, hackathons, off-sites and roadshows - Extra leave for birthdays, volunteering, and more - Healthy snacks, continental breakfast and fresh fruit - Sydney CBD office near Town Hall and Gadigal Stations - Tailored growth support, mentoring and stretch projects - A vibrant social scene - we work hard and have fun doing it We prioritise Diversity: At hipages, innovation and collaboration thrive in diverse and inclusive teams. We don't expect you to know everything - we care more about who you are as a person, a team member, and a leader. We're proud to be endorsed by WORK180 for supporting women's careers and we value diversity across culture, age, gender identity and sexual orientation. Research shows that men often apply when they meet just 60% of the criteria, while women and minority groups wait until they tick every box. If you think you'd be a great fit - even if you don't meet every requirement- we'd love to hear from you. We're also a Circle Back Initiative Employer, which means we commit to responding to every applicant. #LI-JL1 #LI-Hybrid