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Data & AI Scientist (Singapore-based) Job Opening In Singapore, Singapore – Now Hiring Momos Customer Engagement


Job description

Overview
Momos 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 Role
Momos 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 customers
Leverage Generative AI models to develop data products for all internal and external purposes
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.


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.


Strong working knowledge of Generative AI and have designed and 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
Singapore
Benefits
Private medical insurance
Paid time off and flexible working culture
A dynamic and inclusive company culture
Access to the latest technology and tools for personal development
Comprehensive onboarding program for new employees
Employee recognition programs for outstanding performance
A supportive environment that encourages innovation and creativity
Cultural Values
Mission-driven and fast-paced, entrepreneurial environment.


A collaborative and flat company culture.


Comprehensive private health insurance.


Discretionary trips to visit teams/ offices in the region.


Cross-cultural team bonding/networking.


Love Food?

Join our Team!
About Us
Momos is the growth platform for F&B, founded in 2020, by food tech 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
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.


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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Momos Customer Engagement adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying Singapore laws and regulations

What Is the Average Salary Range for Data & AI Scientist (Singapore based) Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Singapore. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for Data & AI Scientist (Singapore based)?

Key qualifications for Data & AI Scientist (Singapore based) typically include Other General and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for Data & AI Scientist (Singapore based) Job Success

Momos Customer Engagement interview tips for Data & AI Scientist (Singapore based)

Here are some tips to help you prepare for and ace your Data & AI Scientist (Singapore based) job interview:

Before the Interview:

Research: Learn about the Momos Customer Engagement's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

Be Honest: Don't exaggerate your skills or experience.

Be Positive: Focus on your strengths and accomplishments.

Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Data & AI Scientist (Singapore based) interview at Momos Customer Engagement, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Momos Customer Engagement's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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