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Data Scientist/Senior Data Scientist, Revenue Optimization Job Opening In Singapore, Singapore – Now Hiring Marina Bay Sands

Data Scientist/Senior Data Scientist, Revenue Optimization

    Singapore Jobs Expertini Expertini Singapore Jobs Other General Data Scientist/senior Data Scientist, Revenue Optimization

Job description

WE TAKE YOU ABOVE BEYOND

Take your passion to the next level and work alongside other masters of their craft to build a fulfilling and rewarding career at Marina Bay Sands.

Job Responsibilities

The team is tasked with developing creative approaches to data sourcing, deriving new variables and factoring in qualitative insights to deliver high-impact business solutions.

Key areas of focus, include:

Gaming Optimisation

  • Utilize big data technologies and cloud platforms to manage and analyze large and complex datasets, ensuring data quality and integrity.

  • Implementing end-to-end data-driven solutions using Analytical modeling techniques, machine learning, deep learning, and MLOps frameworks.

  • Design experiments and conduct exploratory data analysis to identify trends, hidden patterns, and opportunities for product optimization.

  • Develop and implement predictive models and machine learning algorithms to optimize product offering, pricing strategy and improve operational efficiency.

  • Collaborate with cross-functional teams to integrate data science solutions into business processes and decision-making frameworks.

  • Effectively communicate results and their implications to business/product stakeholders.

Job Requirements

Education & Certification

  • Bachelor's degree in Statistics, Mathematics, Economics, Business Analytics, or related field
  • Advanced degree (Master's or Ph.D.) in Data Science, Machine Learning, Statistics or a related field is preferred.

Experience

  • At least 2 years of hands-on experience in analytics and machine learning or AI.

  • Proven experience in deploying machine learning models in production environments and monitoring their performance will be an added advantage.

  • Expertise in implementing data-driven solutions using statistical techniques, machine learning, deep learning, and MLOps frameworks.

  • Strong proficiency in programming languages such as Python, R, and SQL, with experience in using libraries like TensorFlow, PyTorch, and scikit-learn.

  • Strong competencies in supervised and unsupervised machine learning, deep learning algorithms, and MLOps.

  • Knowledge of latent semantic analysis, document similarity models, document classification, text analytics, and language models.

  • Familiarity with recommender systems, computer vision, and image analytics.

  • Familiarity with neural networks, convolutional neural networks, and recurrent neural networks.

  • Experience in big data technologies such as Hadoop, Spark, and cloud platforms like AWS, Azure, or Google Cloud.

  • Experience with data visualization tools like Tableau, Power BI.

Other Prerequisites

  • Excellent problem-solving skills and the ability to work with complex datasets to derive actionable insights.

Marina Bay Sands is committed to building a diverse, equitable and inclusive workforce, providing equal opportunities as we grow our talent base to match our growth ambitions in Singapore.

Our employees are committed to adhere to and abide by all rules, regulations, policies and procedures, including the rules of conduct and business ethics of the Company.

Required Skill Profession

Other General


  • Job Details

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Unlock Your Data Scientist Potential: Insight & Career Growth Guide


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Are You Looking for Data Scientist/Senior Data Scientist, Revenue Optimization Job?

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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 Marina Bay Sands 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

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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.

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Key qualifications for Data Scientist/Senior Data Scientist, Revenue Optimization 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 Scientist/Senior Data Scientist, Revenue Optimization Job Success

Marina Bay Sands interview tips for Data Scientist/Senior Data Scientist, Revenue Optimization

Here are some tips to help you prepare for and ace your Data Scientist/Senior Data Scientist, Revenue Optimization job interview:

Before the Interview:

Research: Learn about the Marina Bay Sands'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.

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

Additional Tips:

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Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Data Scientist/Senior Data Scientist, Revenue Optimization interview at Marina Bay Sands, 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 Marina Bay Sands'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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