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Urgent! Senior Data Scientist (Analytics) Job Opening In Singapore, Singapore – Now Hiring Grab
Senior Data Scientist (Analytics) at Grab .
Join to apply for the Senior Data Scientist (Analytics) role at Grab .
Grab is Southeast Asia's leading superapp.
From getting your favourite meals delivered to helping you manage your finances and getting around town hassle-free, we've got your back with everything.
In Grab, purpose gives us joy and habits build excellence, while harnessing the power of Technology and AI to deliver the mission of driving Southeast Asia forward by economically empowering everyone, with heart, hunger, honour, and humility.
Our Search and Personalisation Team focuses on advancing scalable machine learning and experimentation frameworks that power search relevance, ranking, and recommendations across Grab.
By leveraging cutting-edge analytics and statistical methods, we continuously optimize how users connect with merchants, services, and content.
In this role, you will work closely with product managers, data scientists, engineers and product designers to define hypotheses, design experiments, and deeply understand user needs, pain points, and business goals.
You will act as a strategic partner throughout the product development lifecycle — offering analytical support from ideation to execution—and help prioritize features through data-driven insights.
You will be based in Singapore and reporting to Head of Analytics.
We care about your well-being at Grab, here are some of the global benefits we offer:
We are committed to building an inclusive and equitable workplace that enables diverse Grabbers to grow and perform at their best.
As an equal opportunity employer, we consider all candidates fairly and equally regardless of nationality, ethnicity, religion, age, gender identity, sexual orientation, family commitments, physical and mental impairments or disabilities, and other attributes that make them unique.
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Unlock Your Senior Data Potential: Insight & Career Growth Guide
Real-time Senior Data Jobs Trends in Singapore, Singapore (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Senior Data in Singapore, Singapore using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 33907 jobs in Singapore and 30121 jobs in Singapore. This comprehensive analysis highlights market share and opportunities for professionals in Senior Data roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Grab is currently hiring and seeking a Senior Data Scientist (Analytics) to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Senior Data Scientist (Analytics) Jobs Singapore.
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 Grab adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Senior Data Scientist (Analytics) Jobs Singapore 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.
Key qualifications for Senior Data Scientist (Analytics) typically include It & Technology and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
To improve your chances of getting hired for Senior Data Scientist (Analytics), consider enhancing your skills. Check your CV/Résumé Score with our free Resume Scoring Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.
Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your Senior Data Scientist (Analytics) interview at Grab, 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 Grab'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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