• Develop and deliver high-impact analyses, dashboards, and reports to track marketing performance, campaign ROI, funnel metrics, and customer behavior • Build intuitive, self-serve visualizations using tools like Power BI to support marketers in tracking their KPIs • Develop and maintain scalable data models, ensuring data integrity and accuracy in reporting • Serve as a trusted analytics advisor to marketing leaders and channel owners, providing data-driven recommendations to optimize campaigns and programs • Contribute to the development of measurement frameworks, attribution models, and marketing mix optimization • Lead/participate in cross-functional collaboration with data engineering, digital, and product teams to ensure analytics solutions are scalable and aligned with business needs

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 IST is comprised of the Conservation Data Team (CDT) and Conservation Strategy Team (CST) that partner closely to provide support. The CDT is responsible for conservation data capacity building, data quality, science & systems, and organizational reporting, including reporting and recommendations to executives and the global board. This position focuses on enabling regional teams to consistently generate, trust, and use high‑quality data and evidence through strong MEL systems, standards, and practices. The role works as a close partner with regional MEL leads to align CDT support with regional MEL priorities, processes, and ways of working. Essential Functions - The Latin America 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 Latin America Region. - Cultivate an understanding of what drives customer satisfaction in the Latin America region and contribute to effective delivery of CDT support. - Serve as a cross-cultural/organizational broker and learning advocate. - Build and maintain strong, trusting relationships with key leadership and experts in the Latin America Region. - Collaborate with MEL staff in Latin America to ensure CDT's support is aligned with their vision for conservation science data, MEL, and reporting. - Work with regional MEL leaders and partners to align science data support with priority needs. - Collaborate closely with Latin America MEL lead, CDT colleagues, and CST Latin America 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. What You’ll Bring - 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. - Experience working and communicating with a wide range of people. - Ability to work effectively across cultures, countries, and regional contexts. - Excellent interpersonal skills. - Deep multi-cultural or cross-cultural experience within the Latin America Region. - Willingness and authorization to reside and work in designated TNC Latin America program locations. - English and Spanish language proficiency. Desired Qualifications - Record of helping scale conservation strategies or solutions using data. - Domain area expertise in one or more of the following: 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. - Portuguese as third language proficiency. Salary Information The starting pay range for a candidate selected for this position is generally within the range of $83,700 – $125,700. This range only applies to candidates whose country of employment is the USA. Where a successful candidate’s actual pay will fall within this range will be based on a variety of factors, including location, qualifications, specific skills, and experience. What We Bring - TNC offers competitive and comprehensive benefits packages tailored to the individual countries where we work. - Flexible work environment that supports the health and well-being of the people we employ. - Rolling interview process to ensure timely engagement with applicants. Equal Opportunity Employer The Nature Conservancy is an Equal Opportunity Employer. Our commitment to equal employment opportunity includes the recognition that our conservation mission is best advanced by the leadership and contributions of people of all backgrounds, beliefs, and culture.

• Design and implement optimization models addressing network design, inventory positioning, demand forecasting, and transportation efficiency • Apply advanced analytics techniques to improve supply chain performance, cost efficiency, service levels, and sustainability outcomes • Analyze, cleanse, and transform large, imperfect datasets to generate actionable insights • Develop algorithms using optimization, machine learning, and statistical modeling techniques to solve complex supply chain problems • Implement production‑ready analytical solutions using Python, R, or comparable programming languages • Build dashboards and analytical outputs that communicate insights to technical and non‑technical stakeholders • Collaborate with data scientists, analysts, and architects to ensure scalable and aligned analytical solutions.

Role Description As a Lead Data Scientist at Lennar, you will design, build, and deploy advanced models and AI agents that shape how Lennar prices, sells, and personalizes experiences for customers across 40+ divisions. You’ll work end-to-end—from research and experimentation to production deployment and monitoring—delivering measurable business impact in pricing, sales, operations, and customer engagement. Your Responsibilities on the Team: - Design, build, and deploy autonomous AI agents using frameworks like Amazon Bedrock and AgentCore to solve business problems in pricing, sales, operations, and customer interactions. - Apply machine vision and feature extraction on home attributes (photos, plans, finishes) to inform premium pricing and personalization strategies. - Engineer and maintain data pipelines and systems supporting all models and agents, ensuring scalability and reliability. - Integrate agents with enterprise systems and protocols (MCP servers, A2A protocol, internal APIs). - Design and run experiments (A/B tests, multi-armed bandits, uplift models) to measure and optimize model and agent performance. - Ensure observability and reliability of deployed agents, including logging, evaluation, monitoring, and drift detection. - Proactively gather feedback from stakeholders and adapt solutions for adoption and measurable impact. - Translate complex data science and statistical concepts into clear recommendations, stories, and visualizations for executives and non-technical audiences. - Favor incremental, explainable solutions that deliver quick wins and scale over time. - Drive experimentation with new tools and approaches, ensuring robustness, governance, and scalability in production deployments. - Share learnings with the broader team to raise the bar on data science and agentic development across the organization. - Manage timelines and expectations transparently with both the data science team and business stakeholders. Qualifications - Bachelor’s or Master’s degree in Statistics, Economics, Math, Computer Science, Data Science, Machine Learning, or related field (or equivalent experience). - 5+ years of relevant experience (1+ with PhD, 3+ with MS) as a data scientist, ML engineer, or applied AI developer delivering production-ready models and systems. - Strong proficiency in Python and SQL, with experience owning the full data science stack (data pipelines + models + deployment). - Hands-on experience with AI development frameworks (LangChain, Strands, Amazon Bedrock, AgentCore, or equivalent). - Experience with experimentation frameworks (A/B testing, uplift modeling, multi-armed bandits, causal ML). - Exposure to machine vision techniques (CNNs, transfer learning, embeddings) and NLP techniques (embeddings, transformers, prompt engineering). - Understanding AI agent observability (evaluation frameworks like LangFuse, RAGAS, Weights & Biases, custom monitoring). - Experience with system integrations: APIs, A2A protocol, MCP servers, orchestration pipelines. - Comfort working with large-scale, imperfect real-world datasets and making progress despite complexity. - Strong engineering skills: ability to design and maintain production pipelines, microservices, and scalable systems. - Proven ability to navigate ambiguity, rapidly prototype, and move solutions into production. - Collaborative communicator who can align technical solutions with business priorities across diverse stakeholders. - Bonus: experience with RAG pipelines, LLM fine-tuning, RLHF, multi-agent orchestration, feature stores, survival analysis/churn modeling, and attribution modeling. Requirements - This is primarily a sedentary office position which requires the incumbent to have the ability to operate computer equipment, speak, hear, bend, stoop, reach, lift, and move and carry up to 25 lbs. Finger dexterity is necessary. Benefits - Base compensation offered for this position to range from an annual salary of $152,600.00 - $190,700, subject to adjustment based on business-related factors. - This position may be eligible for bonuses. - This position may be eligible for commissions. - Comprehensive health insurance plans, including Medical, Dental, and Vision coverage. - 401(k) Retirement Plan with a $1 for $1 Company Match up to 5%. - Paid Parental Leave and an Associate Assistance Plan. - Education Assistance Program and up to $30,000 in Adoption Assistance. - Up to three weeks of vacation annually, alongside generous Holiday, Sick Leave, and Personal Day policies. - New Hire Referral Bonus Program and significant Home Purchase Discounts. - Unique opportunities such as the Everyone’s Included Day.