Data Scientist
singapore, Central Singapore, Singapore
Momos
Momos is the restaurant management platform that helps manage all your guest feedback, launch guest surveys & drive sales with outbound marketingOverview
Momos is an early stage, fast-growing company based in Singapore and US, and backed by global investors. We are adding to our team of passionate foodies and tech enthusiasts who are looking to digitize the F&B industry. Momos is building the Shopify for Restaurants; we help restaurants harness all of their data across food delivery, social, and discovery channels, and allow them to maximize their business and grow. We are modernizing the entire approach to Food and Beverage, and are helping restaurants embrace the digital change.
At Momos, we put restaurants at the forefront of everything we do. The consistent feedback and input from restaurant partners have been ingrained in our culture and design of the product from day 1 and is something that we will hold constant as we continue to scale Momos globally. If you love food, and are looking to work at a Company that is mission-driven and is helping build the future for F&B, we'd love to work with you!
The Role
The Momos Data team is looking for someone to empower our customers to streamline and optimise their operations with powerful insights and recommendations. Harnessing the power of AI, you will be responsible for designing and implementing predictive data products related to social media, digital marketing, and market research. You will work closely with cross-functional teams to build the brains behind the next-generation data platform. We are looking for self motivated individuals from all backgrounds, who are prepared to take on the challenges and opportunities that come from working in a fast paced, early stage startup.
Primary Role & Responsibilities
- Work with Operations, Product, and Data Engineering teams to leverage huge volumes of structured and unstructured data to increase customer business performance
- Manage data projects end-to-end deployment across various functions and stakeholders
- Develop deep understanding of data models and business domain knowledge, and support data quality for allocated areas of ownership
- Develop and maintain machine learning / deep learning models to achieve desired business outcomes – such as performance forecasting, reputation improvement and marketing recommendations
- Use MLOps processes and tools to monitor and refine production model performance and accuracy
- Build rich and dynamic dashboards using out-of-box features, customizations, and creative visualizations using in-house tools as well as third party tools such as Tableau or equivalent
Ideal Background
- B.S and/or M.S. in a quantitative discipline, such as Mathematics/Statistics, Actuarial Sciences, Computer Science, Engineering, or other data science disciplines with experience in a highly quantitative role
- A self-driven team player with the ability to quickly learn and apply new tools and techniques such as proprietary analytical software, data models and programming languages
- High proficiency with using scripting language such as Python, relational database management tool such as SQL, and data visualisation tools such as Tableau or Google Data Studio
- Excellent in using non-scientific yet precise languages, verbally and in writing, to communicate complex analytical subjects with business stakeholders
- Experience in developing internal or external data products
- Experience in managing alignment with executive-level stakeholders
Nice to Haves
- 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
- Singapore
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!
About Us
Momos is the growth platform for F&B, founded in 2020, by foodtech experts from Grab, Uber, Microsoft and Intuit. With our cloud-based marketing and analytics tools, restaurants are able to harness their data across all their online channels and can focus on maximizing their growth. Momos works with organizations of all sizes, from your local coffee shop to the largest restaurant groups in the region, helping them manage and grow their entire business.
To learn more, visit www.momos.com
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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS BigQuery Computer Science Data quality Data Studio Deep Learning EC2 Engineering Excel GCP Lambda Machine Learning Market research Mathematics MLOps Python Research SQL Statistics Tableau Unstructured data
Perks/benefits: Career development Health care Startup environment
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