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Senior Data Scientist Job Opening In Singapore, Singapore – Now Hiring Innowave Tech


Job description

Overview

We are seeking a highly skilled Data Scientist with expertise in data analytics, insight generation, and optimization for manufacturing data.

The ideal candidate will leverage AI/ML, optimization algorithms, and various advanced analytics techniques to drive operational efficiency and process improvements.

About Innowave Tech Singapore

Innowave Tech is an Artificial Intelligence (AI) company offering solutions for the Semiconductor and Advanced Manufacturing industry.

We are an agile, innovation-driven company operating at the intersection of advanced manufacturing and AI.

We collaborate closely with domain experts to solve real-world challenges using cutting-edge data science.

If you are passionate about turning complex technical problems into tangible impact, we want to hear from you.

Why Join Us

Work on meaningful problems that make a difference in high-impact industries

Join a small team that values initiative, ownership, and clear communication

Your Role and Impact

As a Data Scientist, you will be at the forefront of transforming complex domain challenges into impactful AI-driven solutions.

You will work side-by-side with engineers, domain experts, and stakeholders to uncover opportunities, shape problem statements, and apply the right data science approaches to solve real-world problems.

You will own the full data science lifecycle, from understanding raw data to deploying robust models, while balancing scientific rigor with practical implementation.

Your ability to independently explore data, assess quality, and deliver insights will directly influence decision-making and product development.

Your work will not be isolated to experimentation.

You will contribute to solutions and product developments that bridge the gap between theory and implementation.

Whether it is predicting equipment health, predicting manufacturing yield, or optimizing processes, your contributions will drive measurable impact in a fast-moving, innovation-driven environment.

What You’ll Do

Work closely with domain experts to understand business challenges, formulate problem statements, and translate them into data science solutions.

Evaluate and select appropriate approaches based on problem context, data availability, and performance constraints.

Independently source, clean, and validate data for analysis and modeling, ensuring data quality, consistency, and reliability.

Build, test, and deploy machine learning models with an awareness of model assumptions, limitations, and trade-offs.

Communicate findings and recommendations clearly to both technical and non-technical stakeholders.

Contribute to the design and implementation of robust, scalable pipelines for data processing and model inference.

What We’re Looking For

Educational Background:

Minimum Poly, Bachelor’s, or Master’s degree in Data Science, Statistics, Computer Science, Operations Research, Applied Mathematics, Engineering, or a related field.

Technical skills:

Must-haves:

  • Minimum 5 years of relevant industry experience in data science or applied machine learning (or 3+ years with a PhD).

  • Proven ability to take projects from problem formulation to solution deployment.

  • Proven ability to work with domain experts and turn ambiguous requirements into structured models.

  • Hands-on experience in data wrangling, cleaning, and validation.

  • Strong programming skills in Python and familiarity with relevant data/ML libraries.

  • Proficiency in a wide range of ML techniques (supervised, unsupervised, classical and modern AI) and understanding of model assumptions, limitations, and trade-offs.

  • Familiarity with startup environments or fast-paced cross-functional teams.

Nice-to-haves:

  • Experience with sensor data, time series analysis, or signal processing.

  • Exposure to optimization algorithms, such as genetic algorithms or Bayesian optimization.

  • Exposure to statistical analysis and statistical modeling techniques.

  • Exposure to Retrieval-Augmented Generation (RAG) and Agentic AI.

  • Background working with semiconductor data or in high-tech manufacturing domains.

  • Ability to work in cross-functional teams and communicate effectively.

  • Strong problem-solving mindset and attention to detail.

  • Independent and self-motivated learner who quickly adapts to new domains and technologies.

Be careful - Don’t provide your

Required Skill Profession

It & Technology


  • Job Details

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Unlock Your Senior Data Potential: Insight & Career Growth Guide


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Are You Looking for Senior Data Scientist Job?

Great news! is currently hiring and seeking a Senior Data Scientist to join their team. Feel free to download the job details.

Wait no longer! Are you also interested in exploring similar jobs? Search now: .

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 Innowave Tech 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 Senior Data Scientist 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 Senior Data Scientist?

Key qualifications for Senior Data Scientist typically include It & Technology 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.

How Can I Improve My Chances of Getting Hired for Senior Data Scientist?

To improve your chances of getting hired for Senior Data Scientist, consider enhancing your skills. Check your CV/Résumé Score with our free 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.

Interview Tips for Senior Data Scientist Job Success

Innowave Tech interview tips for Senior Data Scientist

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

Before the Interview:

Research: Learn about the Innowave Tech'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 Senior Data Scientist interview at Innowave Tech, 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 Innowave Tech'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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