Description
Overview
Momos is a rapidly growing company with its headquarters in Singapore and the United States. As part of our company's growth strategy, we are actively expanding our operations in the APAC region. Our main mission is to help our brands create happier customers at every location with AI. Momos is the Customer Experience Management Platform for multi-location brands. We work with groups such as Shake Shack and Baskin Robbins to power the entire lifecycle and automate everything with AI. Today, we are proud to be trusted by over 5,000 businesses globally.
If you love to hustle and want to work for a mission-driven company, we would be thrilled to have you join our team.
The Role:
Momos is seeking a highly motivated individual to join our Data Analytics team, playing a pivotal role in empowering our customers to optimize operations through insightful data-driven recommendations. Utilizing Artificial Intelligence (AI), you will be responsible for designing and implementing predictive data products, specifically focusing on social media, digital marketing, and market research. Working closely with the Data Head 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.
- Train and leverage Generative AI models to develop data products for internal and external use cases.
- Automate 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.
Requirements
Ideal Background:
- Bachelor's or Master's degree in a quantitative discipline (e.g., Mathematics/Statistics, Actuarial Sciences, Computer Science, Engineering, or other data science disciplines).
- 2-4 years of experience in a highly quantitative role.
- Self-driven team player with the ability to quickly learn and apply new tools and techniques.
- High proficiency in Python, SQL, and data visualization tools such as Tableau.
- Excellent communication skills in both technical and non-scientific language for effective collaboration with business stakeholders.
- Working knowledge of Generative AI and have used / deployed LLM models in production.
Nice to Haves:
- Experience in developing internal or external data products.
- Alignment with executive-level stakeholders.
- Working experience in public cloud infrastructure & tools such as AWS (e.g. S3, Lambda, and EC2) and/or GCP (e.g. BigQuery, Compute Engine)
- Domain expertise in the Adtech industry.
- Domain expertise in F&B technology.
Location:
- Ho Chi Minh city, Vietnam
Benefits
- Comprehensive social insurance coverage in accordance with Vietnamese labor regulations, encompassing full salary benefits.
- Private Health Insurance
- 15 days Paid Time Off annually
Cultural Values
- Mission-driven and fast-paced, entrepreneurial environment.
- A collaborative and flat company culture.
- Comprehensive private health insurance.
- Discretionary trips to our offices across the globe, with global travel medical insurance (when it’s safe to travel!).
- Cross-cultural team bonding/networking.
- Love Food? Join our Team!
Equal Opportunity
Momos is an equal opportunity workplace where we embrace diversity and different cultures. We started as an international Company, and know that building an organization with different experiences, thoughts and opinions allows our team to grow and excel.
