In today's fast-paced, take-make-waste world, so many people want to adopt a healthy and sustainable lifestyle, but find it nearly impossible to do so. At Sunrise, we believe that's ridiculous. A healthy and sustainable lifestyle should be the easiest and most desirable option for anyone on this planet. To make this happen, we're building a personal AI concierge that lives in a circular platform. It's designed to explore and automate household essentials, meals, and moments in a conversational, circular, and fully sustainable way, turning hours of tedious household management into seconds of effortless flow.

As part of our commitment to sustainability, we are developing the Goodness Index™, a data-driven scoring system that assesses the real-world impact of products and suppliers. Our goal is to provide consumers with reliable and digestible scores for every purchase, enabling them to make informed decisions that align with their values.

Our personal AI concierge anticipates your needs, learns your preferences, and proactively recommends sustainable alternatives for your daily goods. By automating and streamlining procurement, inventory management, closed-loop logistics, and order fulfillment, we ensure that sustainable options are readily available and effortlessly accessible.

Job Description

We are seeking a talented and experienced Lead Data Scientist to join our dynamic team. As the Lead Data Scientist, you will play a critical role in growing our business, optimizing our supply chain management, our closed-loop logistics model and building and refining the Goodness Index™, our proprietary scoring system. You will leverage your expertise in data science and machine learning to develop innovative algorithms, analyze complex datasets, and generate actionable insights. Your contributions will drive the integrity and accuracy of our scoring system and the quality of our recommendation and automation engine, making a healthy and sustainable living a breeze.


Develop and Refine the Goodness Index™

Lead the development and refinement of the Goodness Index™, our data-driven scoring system. Design and implement advanced algorithms and models that accurately assess the sustainability and impact of products and suppliers. Continuously refine the scoring methodology based on real-world data and feedback from stakeholders.

Data Analysis and Modeling

Conduct exploratory data analysis and modeling using large and complex datasets. Apply statistical techniques and machine learning algorithms to uncover patterns, identify trends, and generate insights related to sustainability, product impact, and supplier performance. Collaborate with cross-functional teams to translate insights into actionable recommendations.

Data Collection and Integration

Collaborate with internal teams to define data requirements, establish data collection processes, and ensure data integrity. Identify and acquire relevant external datasets to enhance the accuracy and robustness of the Goodness Index™. Develop data pipelines and frameworks to efficiently process and integrate data from multiple sources.

Predictive Analytics and Automation

Utilize data science techniques to predict user preferences and automate the recommendation of daily goods to our users. Develop models and algorithms that personalize the user experience, taking into account factors such as sustainability, health, and individual preferences. Continuously optimize and improve recommendation algorithms based on user feedback and performance metrics.

Operational Optimization

Identify opportunities for operational optimization related to procurement, inventory management, closed-loop logistics, and order fulfillment. Utilize data science techniques to optimize supply chain processes, minimize waste, reduce costs, and enhance overall operational efficiency. Collaborate with the operations team to implement data-driven solutions.

Model Deployment and Monitoring

Implement models and algorithms into production environments, working closely with the engineering team. Develop monitoring systems to track model performance, identify anomalies, and ensure the ongoing reliability of the Goodness Index™. Continuously evaluate and enhance model performance and accuracy.

Collaborative Research

Stay abreast of the latest advancements in data science, sustainability, and related fields. Collaborate with external partners, academia, and industry experts to conduct research and contribute to the broader scientific community. Publish findings in relevant journals or present at conferences, showcasing Sunrise's expertise and thought leadership.

Cross-functional Collaboration

Collaborate closely with product management, engineering, and other teams to integrate the Goodness Index™ seamlessly into the Sunrise platform. Provide data-driven insights and recommendations to support product development, marketing strategies, and customer engagement initiatives.


  • Advanced degree (Ph.D. preferred) in data science, computer science, statistics, or a related field.
  • Proven experience as a data scientist, with a focus on developing and deploying machine learning models and algorithms.
  • Strong expertise in statistical analysis, data mining, and machine learning techniques.
  • Proficiency in programming languages such as Python, R, or similar, and experience with relevant libraries and frameworks.
  • Solid understanding of data engineering principles, data architecture, and data pipeline development.
  • Experience working with large datasets and using tools for data manipulation and analysis (e.g., SQL, Spark, Hadoop).
  • Knowledge of sustainability, environmental impact assessment, or related fields is a plus.
  • Strong problem-solving skills and ability to translate complex concepts into actionable insights.
  • Excellent communication and presentation skills, with the ability to effectively convey technical concepts to both technical and non-technical stakeholders.
  • Understanding of procurement, inventory management, closed-loop logistics, and order fulfillment processes, with a focus on operational optimization through data science.

What We Offer

  • The opportunity to build a fundamental consumer tool from the ground up, creating transparency needed to disrupt a trillion dollar industry.
  • Having a free role and full responsibility for the development of a high-profile consumer product in a highly experimental and creative environment.
  • A high-impact role that directly contributes to company decisions and direction.
  • The freedom to build a product with the potential to have a tremendous impact on the future.
  • Equity as part of the founding team

Join us in shaping the future of sustainable living and making a positive impact on the world through data science and machine learning. If you are passionate about sustainability, possess strong data science expertise, and thrive in a collaborative and fast-paced startup environment, we encourage you to apply for the Lead Data Scientist role at Sunrise. Be part of our mission to empower consumers to make informed, sustainable choices with our Goodness Index™, while driving operational optimization through data-driven solutions.