Data Scientist (Mirage)

About the job

Headcount Needed: 1 Pax (Full Time)

Salaries and Benefits:

• Up to $10,000.00 per month
• Comprehensive insurance coverage
• Issued e-Medical Card upon 3 months of service
• Tele-consult available upon 3 months of service

Roles & Responsibilities:
1. Model Development

• Design and conduct experiments to evaluate emerging SDG models (e.g., DDPM, ARF, Gaussian Copula).
• Investigate failure cases (e.g., when models fail with certain data types, size, or cardinality).
• Tune hyperparameters, refine architectures, and propose new modeling strategies.

2. Feature & Product Development

• Collaborate with software engineers to build product features that require ML/DS input (e.g., imputation methods, handling of constraints, preprocessing pipelines).
• Recommend and develop suitable approaches for features like single-/multi-column constraints, imputation strategies, and privacy metrics.

3. Diagnostics & Debugging

• Work directly with users and the engineering team to diagnose user issues with training failures, poor outputs, or integration challenges.
• Provide actionable fixes and communicate technical insights in a user-friendly way.

4. Documentation & Knowledge Sharing

• Write user-facing documentation pages. This could include explaining model choice, hyperparameters, and utility/privacy metrics in a user-friendly manner.
• Translate complex technical Data Science concepts into clear, approachable explanations.

5. Collaboration

• Work closely with the SWE team (Next.js, FastAPI, AWS) to integrate the generation engine into production-ready systems.
• Participate in Agile rituals, code reviews, and design discussions.

Key Requirements:
1. Bachelor’s degree or higher in Computer Science, Data Science, Business Analytics or a related field, with at least 2-3 years of relevant professional experience.

2. Core Data Science & ML skillset

• Strong foundation in machine learning, with hands-on experience in model development and experimentation.
• Strong programming proficiency in Python and extensive experience with ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn).
• Ability to analyze model behavior, diagnose training issues, and design experiments to optimise performance and reliability

3. Applied Research & Experimentation

• Familiarity with reading, synthesizing, and ability to translate emerging research into practical prototypes.

4. Software Engineering

• Working knowledge of backend development (REST APIs, FastAPI, Flask, or similar).
• Comfortable working with cloud environments (AWS preferred).
• Ability to debug and fix software-level issues when they affect ML workflows.
• Familiarity with Git, CI/CD, and collaborative coding best practices.

5. Nice-to-Haves

• Experience with privacy-enhancing technologies, including but not limited to anonymisation, synthetic data generation or differential privacy.
• Familiarity with frontend integration workflows (Next.js/React).
• Prior experience working in multi-disciplinary teams.

6. Mindset & Collaboration

• Curiosity and willingness to learn new domains (esp. data privacy).
• Strong communication skills to explain technical concepts to both engineers and non-technical stakeholders.
• Inclination to work in a collaborative, fast-moving Agile environment.
• Strong in communication with the ability to explain complex technical concepts clearly to diverse audiences

If you believe you fit the requirements for the role, please submit your application below or drop us an email directly quoting the job title.

Due to an anticipated high volume of applicants, we regret that only shortlisted candidates will be notified. The information provided is for recruitment purposes only.

Know someone who would be a great fit for this role? Refer them to us and get rewarded.

Cornerstone Global Partners (EA Licence Number: 19C9859) is an affirmative equal-opportunity employer and recruitment firm. We evaluate qualified applicants without regard to race, colour, religion, creed, gender, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class

Consultant Name : Eugene Then
EA Registration Number: R22104742
Cornerstone Global Partners Pte Ltd (EA License: 19C9859)

Job ID: #7851