Data Scientist

We are pioneering digital sustainability by redefining how businesses and individuals manage their data in the cloud era. Our AI-powered platform identifies and eliminates digital waste—unnecessary compute, redundant data, idle resources—turning inefficiency into actionable savings for businesses and measurable climate impact for the planet.

We’re looking for an exceptional Data Scientist to join our mission-driven team and shape the algorithms and methodologies at the heart of our platform. You will play a pivotal role in designing and implementing cutting-edge machine learning models to analyze cloud data, email, photo, video, and other common data types to optimize storage, reduce waste, and unlock value

.
Key Responsibilitie

• s:
  Define and lead the data science strategy, aligning models and methods with business and environmental impact goa
• ls.Design, develop, and deploy machine learning algorithms to identify redundant, obsolete, or unnecessary data across corporate and personal cloud ecosystems (including emails, photos, videos, and file
• s).Build scalable pipelines to process and analyze structured and unstructured data from diverse sources in cloud environments (AWS, Azure, Google Clou
• d).Collaborate with engineering and product teams to integrate models into the platform, delivering actionable insights to custome
• rs.Evaluate and experiment with cutting-edge approaches (including NLP, computer vision, anomaly detection) for digital waste detection across different data typ
• es.Manage and mentor data scientists and machine learning engineers, balancing hands-on model development with leadership responsibiliti
• es.Communicate findings and strategies clearly to executive leadership, customers, and external stakeholders, translating complex data science concepts into business val
• ue.Monitor and continuously improve model performance to ensure accuracy, fairness, and ethical AI practic

es.Ideal Qualificatio

ns: PhD or Masters in Data Science, Machine Learning, Artificial Intelligence, Computer Science, or a related fie

ld. 5+ years of experience leading data science projects and implementing data-driven strategies at enterprise lev

el. Proven track record of hands-on development of machine learning solutions deployed in production environmen

ts. Strong expertise in supervised and unsupervised learning, NLP, anomaly detection, clustering, and data deduplication techniqu

es. Experience working with large-scale cloud data platforms (AWS, Azure, GCP) and relevant tools (e.g., Azure ML Studio, Azure Cloud, Spark, Databricks, TensorFlow, PyTorch, scikit-lear

n). Ability to bridge technical and non-technical teams, with excellent communication and stakeholder management skil

ls. Passion for sustainability, climate tech, and leveraging AI for positive environmental and societal impa

ct.
Why Join

us? Be part of a bold mission: Reduce global digital waste and help save 1% of the world’s emissions through AI-powered digital recycl

ing. Join an award-winning climate tech innovator (AI for Climate Action Winner, COP29; EarthX Finali

st). Work at the intersection of AI, sustainability, and cloud computing—transforming how industries and individuals approach data stewards

hip. Collaborative, founder-led team committed to innovation, impact, and inclus

• ion. Opportunity to shape the future of digital responsibility while creating tangible business and environmental outco