• Partner with Product and BI to turn business goals into well-scoped ML problems with clear success criteria and guardrails. • Build and productionize models for segmentation, churn, LTV, and recommendations. • Design evaluation frameworks including offline benchmarks and online feedback loops to ensure models are measured, not assumed. • Collaborate with Engineering on production design considerations like latency, payload structure, fallbacks, and failure modes. • Monitor model performance over time, detect drift, and own retraining and iteration cycles. • Use product telemetry and user feedback to drive continuous model and feature improvements. • Work alongside AI coding agents to accelerate development (pipelines, tests, refactoring, exploration) while maintaining human oversight. • Communicate results, trade-offs, and recommendations clearly across technical and non-technical teams.

• Partner with Product and BI to turn business goals into well-scoped ML problems with clear success criteria and guardrails • Build and productionize models for segmentation, churn, LTV, and recommendations • Design evaluation frameworks including offline benchmarks and online feedback loops to ensure models are measured, not assumed • Collaborate with Engineering on production design considerations like latency, payload structure, fallbacks, and failure modes • Monitor model performance over time, detect drift, and own retraining and iteration cycles • Use product telemetry and user feedback to drive continuous model and feature improvements • Work alongside AI coding agents to accelerate development (pipelines, tests, refactoring, exploration) while maintaining human oversight • Communicate results, trade-offs, and recommendations clearly across technical and non-technical teams

• 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.