Data & AI Scientist (Python, SQL, GenAI)

OverviewMomos is a rapidly growing startup headquartered in San Diego and Singapore, building AI for customers at every location. Momos works with leading enterprise multi-location brands and QSRs globally, such as Firehouse Subs, Shake Shack, and Baskins Robbins, and powers the entire customer stack with AI for 20,000 locations globally.At Momos, our core principle is putting restaurants at the forefront of everything we do. Since day one, we have embedded the valuable feedback and input from our restaurant partners into our company culture and product design. This collaborative approach has been instrumental in creating a solution that truly meets the needs of the F&B industry. Today, we are proud to be trusted by over 2000 restaurants globally. If you have a passion for food and want to work for a mission-driven company that is actively shaping the future of the F&B industry, we would be thrilled to have you join our team. The RoleMomos is seeking a highly motivated individual to join our Data team, playing a pivotal role in empowering our customers to optimize operations through insightful data-driven recommendations. Utilizing data science and Artificial Intelligence (AI), you will be responsible for designing and implementing data analytics and agentic AI tools, focusing on insights and recommendations for our customers. Working closely with the Head of Data and cross-functional teams, you will contribute to building the next-generation data platform for our fast-paced, early-stage startup. Primary Roles & Responsibilities:Collaborate with Operations, Product, and Data Engineering teams to design and implement scalable analytics and reporting solutions.Partner with Data Engineering to develop core datasets for operational and exploratory analysis.Query, transform, and analyse large datasets.Construct rich and dynamic dashboards using in-house tools and third-party solutions like Tableau.R&D and launch end-to-end AI Products for customersLeverage Generative AI models to develop data products for all internal and external purposesAutomate solutions where appropriate.Additional Responsibilities:Leverage extensive volumes of structured and unstructured data to enhance customer business performance.Manage end-to-end deployment of data projects across various functions and stakeholders.Develop a profound understanding of data models, business domains, and support data quality for allocated areas of ownership.Build dynamic dashboards using in-house and third-party tools, aligning with business requirements.