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Data Scientist

2 weeks ago

Singapore NodeFlair Full time

**Job Summary**:
**Salary**
S$9,500 - S$17,000 / Monthly

**Job Type**

**Seniority**

Mid

**Years of Experience**
At least 5 years

**Tech Stacks**
Python

**Overview**:
**Responsibilities**:
Applied Research:

- Conduct in-depth research to identify and understand industry trends, emerging technologies, and best practices in data science and AI.
- Collaborate with cross-functional teams to design and implement practical data-driven solutions that address real-world challenges and drive business outcomes.
- Identify, research, and develop new capabilities and functionality into Aicadium products, in the domains of Industrial Computer Vision and Multimodal Foundation models.

Consulting:

- Engage with internal and external stakeholders to understand their business needs and challenges, providing strategic guidance on leveraging data science and AI for optimal outcomes.
- Act as a consultant, translating complex technical concepts into actionable insights for non-technical audiences.

Technology Exploration:

- Stay abreast of the latest advancements in AI and data science, actively exploring and evaluating new technologies to enhance our organization's capabilities.
- Collaborate with internal teams to identify areas where innovative technologies can be applied to solve existing problems or create new opportunities.
- Help drive innovation and new technology adoption within Aicadium.

Proof-of-Concept (POC) Development:

- Rapidly develop POCs utilizing new Generative AI technologies and models.
- These POCs will involve use case discovery, implementation, and testing of Generative AI models, frameworks, or platforms to evaluate their feasibility and potential impact.
- The applied research team will deliver functional prototypes and concise reports summarizing the POC results, including insights on the technology's applicability, limitations, and potential commercial value.

Due Diligence:

- Conduct thorough due diligence on potential AI technologies and solutions, assessing their feasibility, scalability, and alignment with organizational goals.
- Collaborate with legal and compliance teams to ensure adherence to regulatory requirements and ethical considerations.

Collaboration:

- Work closely with cross-functional teams, including engineers, product managers, and business analysts, to integrate data-driven solutions into existing systems and processes.
- Foster a collaborative and innovative environment by sharing knowledge, insights, and best practices with team members.

**Qualifications**:

- Master's or Ph.D. in a quantitative field such as ML, Computer Science, Statistics, Mathematics, Physics, or a related discipline.
- Proven experience in applied research, focusing on developing and implementing efficient data-driven solutions.
- Broad knowledge and hands-on experience with generative AI approaches and technologies.
- Deep technical understanding of generative AI models, frameworks, libraries, and tools; their capabilities and limitations, data requirements, training, management, software infrastructure, scalability, security, and technical viability.
- Demonstrated ability to communicate complex technical concepts to non-technical stakeholders effectively.
- Strong analytical and problem-solving skills, keen interest in exploring, testing, and adopting new technologies.
- Keen interest in the latest developments in AI and ML, and a strong ability to distinguish truth from hype.
- Strong programming skills in Python and modern ML frameworks.
- Strong background in modern and emerging ML methods and architectures.
- Experience in due diligence and technology assessment in the AI domain is highly desirable.
- Experience in consulting is highly desirable.