Data Scientist MSU GMU
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Job Location:
Kuala Lumpur - Malaysia
Monthly Salary:
Not Disclosed
Posted on:
18 hours ago
Vacancies:
1 Vacancy
Job Summary
JOB PURPOSE
- Provide analytical input and explain methods clearly to internal teams.
- Guide and support the development of proposals by providing methodological ideas and data science recommendations.
- Drive the integration of new tools including GenAI synthetic data models and automation solutions to meet client needs.
- Work closely with specialized data science teams across multiple countries to provide excellent service in a fast-paced environment.
ENVIRONMENT
Joining Ipsos means developing your career in the very top tier of research. With 16600 people employed in 89countries we are one of the largest and best-known research companies. If youre interested in keeping company with some of the most naturally curious researchers and making an impact to the best local and global brands we invite you to join us.
As a curious and intuitive individual an enthusiastic professional with a passion for creating knowledge at Ipsos you will be fully dedicated to finding the best solutions for our Ipsos we foster an environment that is entrepreneurial and forward thinking. We attract and hire innovative people with inquiring minds who possess drive intelligence and enthusiasm. Working at Ipsos is dynamic and challenging never a dull moment!
OUTPUTS/ACCOUNTABILITY
- Lead the execution of day-to-day requests by writing clean well-structured Python code to prepare data and run models.
- Support the setup execution and quality control of analytical pipelines checking data and outputs thoroughly.
- Develop working knowledge of GenAI tools APIs (e.g. LiteLLM OpenAI Langchain) and LLM-based workflows.
- Create analytical deliverables such as code outputs and documentation while continuously seeking improvements.
- Produce accurate well-structured analytical outputs and write commentary to provide recommendations.
- Prepare plan and prioritize tasks effectively using tools like Jira to ensure deliverables are sent to schedule.
- Apply Ipsos quality safety and MRS Code of Conduct principles in all project work.
RELATIONSHIPS
- Act as a focal point for internal teams advising on simpler analytics and helping them understand how to apply different techniques.
- Work collaboratively with specialized data science teams and data engineers in a highly skilled and supportive environment.
- Communicate clearly with internal teams and explain analytical concepts in simple terms.
- Promote teamwork across the business area and behave in a manner that displays professionalism and integrity.
DEVELOPMENT
- Proactively learn new techniques tools and technologies particularly those related to GenAI and cloud-based analytics.
- Take ownership of personal development objectives as part of growth within the data science pathway.
- Share learnings from projects within the team and contribute to internal training and knowledge-sharing sessions.
BACKGROUND
- Experience:
- Running and executing code within JupyterLab environments and managing virtual machine instances.
- Training and deploying models using GPUs accessed through Google Cloud Platform (GCP) services like Vertex AI.
- Fine-tuning GenAI models/LLMs for specific use cases and implementing RAG.
- Using Git and GitHub to manage code changes and collaborate with others.
- Skills/Knowledge:
- Technical Tools: Proficiency in Python R SQL and Google Cloud Platform is essential.
- Analytical Techniques: Understanding of coding principles and design patterns to write clean code.
- AI/ML: Knowledge of designing agent architectures to optimize the use of GenAI models/LLMs.
- Qualifications:
- Degree in Data Science Statistics/Mathematics Computer Science Actuarial Science or related quantitative studies.
Required Experience:
IC
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
About Company
In our world of rapid change, the need for reliable information to make confident decisions has never been greater. At Ipsos we believe our clients need more than a data supplier, they need a partner who can produce accurate and relevant information and turn it into actionable truth. ... View more
