We are seeking a visionary and highly experienced Head of Data Science to lead the development and application of cutting-edge predictive modeling and AI-driven analytics, leveraging the latest tools and platforms. The ideal candidate will have a deep understanding of climate data science, sensor networks, and emissions modeling, paired with a passion for sustainability and climate action. As the Head of Data Science, you will drive innovation, strategy, and insights that harness Aclima’s unique capabilities, specifically through advanced AI, to tackle the critical and interconnected challenges of air pollution, emissions, and resource optimization.

QUALIFICATIONS:

• Advanced degree in Environmental Science, Data Science, Computer Science, Artificial Intelligence, or a related quantitative field.
• Demonstrated expertise in climate data science, predictive modeling, and AI-driven analytics, including deep learning, reinforcement learning, and/or generative AI techniques.
• Proficiency in integrating data science tools with IoT frameworks and sensor networks, with a strong understanding of edge AI and real-time data processing for AI applications.
• 3-5 years of experience managing a team of analysts and/or data scientists, with a proven track record of leading AI/ML initiatives.
• 5-7 years of experience with signal processing and statistical analysis, applied to large-scale, complex datasets.
• 3-5 years of experience with machine learning techniques, specifically including experience with modern AI frameworks (e.g., TensorFlow, PyTorch) and cloud-based AI platforms (e.g., Google Cloud AI Platform, AWS SageMaker, Azure ML).
• At least 2 years experience in product development and production code maintenance, particularly for AI/ML model deployment and MLOps.
• Exceptional communication and interpersonal skills to build cross-functional and cross-sector partnerships, effectively communicating complex AI concepts to diverse audiences.
• The ability to present complex concepts in an understandable way to a business-oriented/less technical audience.
• The ability to successfully coordinate and prioritize workload across your team to best meet business needs.
• Master’s degree in atmospheric science, physics, mathematics, statistics or in a related scientific/analytical field or equivalent experience.
• Proven ability to lead and manage data science or analytics teams in a high-impact environment, with a focus on AI innovation.
• Experience advising on technology adoption and scaling analytics frameworks to meet organizational objectives, particularly concerning AI infrastructure and governance.
• Demonstrated ability to cultivate creative solutions to complex environmental challenges using advanced analytical and AI methods.

ABOUT THE ROLE

To accomplish this mission, Aclima’s Data Science team actively focuses on the systematic exploration and analysis of a large dataset that grows by hundreds of millions of points every day. The team’s goals include sensor characterization, development of methodologies and tools to help users make better decisions, product development and contributions to environmental science.
Aclima is seeking a Head of Data Science to lead and grow our teams in this work, and in particular to help develop and increase our AI-driven approaches. As the Head of Data Science, you will be responsible for integrating advanced machine learning, deep learning, generative AI, and predictive modeling techniques into Aclima’s environmental intelligence platform. Your work will empower actionable insights for diverse stakeholders, including policymakers, businesses, and communities, and help tackle challenges such as emissions source identification, pollution trend forecasting, and resource optimization through state-of-the-art AI solutions.
In addition to leading Aclima’s Data Science team directly, you will collaborate with Aclima’s Devices, Network Operations, Engineering, and Product teams to ensure that our cutting-edge algorithms and methodologies deliver measurable impact. This role requires not only technical expertise but also exceptional leadership, communication, and strategic vision to drive innovation across the organization, particularly in the adoption and implementation of leading AI technologies.

PRIMARY RESPONSIBILITIES:

You will be responsible for leading our team of Data Analysts, Data Engineers and Applied Scientists, coordinating their work alongside our Devices, Platform and Product teams, mentoring individuals on your team and hiring staff to continue growing our capabilities. You will regularly interface directly with executive leadership to represent your team’s interests in strategic decisions. In this role, you will:

• Develop and implement advanced machine learning and deep learning models to address Aclima’s key use cases, such as emissions source identification, pollution forecasting, and optimized resource utilization, leveraging the latest AI frameworks.
• Collaborate with Devices and Network Operations teams to ensure seamless integration of AI algorithms into sensor networks, optimizing data collection for downstream analysis and actionable insights.
• Partner with the VP of Engineering and VP of Product to evaluate and integrate the latest AI tools, platforms (e.g., MLOps platforms, cloud AI services), and technologies for robust and scalable solutions tailored to Aclima’s use cases.
• Design advanced methodologies to analyze environmental data, identifying trends and opportunities that align with Aclima’s product needs, potentially utilizing generative AI for data augmentation or scenario generation.
• When needed, you will also conduct analyses and help push product development and feature releases over the finish line, ensuring AI-powered features are production-ready.
• Establish partnerships with academic institutions, government agencies, and private-sector stakeholders to advance cutting-edge AI research and practical applications in climate analytics.
• Ensure that all initiatives contribute to Aclima’s growth by delivering better, faster, and more cost-effective solutions through the strategic application of AI.
• Foster a culture of creativity and excellence, mentoring a high-performing team of data scientists and climate experts to tackle seemingly intractable problems with innovative AI solutions.