Associate, Data Scientist
Share
Job Location:
Monthly Salary:
Posted on:
6 hours ago
Vacancies:
1 Vacancy
Job Summary
Key Responsibilities:
- Assist in the execution of AI/ML and GenAI modelling projects collaborating with internal and external stakeholders.
- Work crossfunctionally with diverse teams to deliver highimpact AIdriven business outcomes.
- Help define detailed AI/ML modelling scope methodology and develop a clear project plan.
- Support the project plan with appropriate AI ML deep learning and data engineering techniques including model development evaluation and deployment.
- Perform QA on data models and deliverables to ensure consistency accuracy and reliability.
- Maintain uptodate project documentation and ensure all work aligns with the agreed AI/ML modelling plan.
- Support endtoend project delivery including model training testing deployment scaling and monitoring within timeline and budget.
- Contribute to evolving existing modelling practices by promoting GenAI methodologies modern AI engineering workflows MLOps and best practices across the AI/ML lifecycle.
- Participate in fullstack data science work including data ingestion feature engineering model development model serving and frontend or applicationlayer integration where needed.
This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.
Qualifications :
Basic Qualifications:
- We welcome applications from Singapore citizens and Singapore Permanent Residents. All candidates must have existing and continuing right to work in Singapore.
- Has less than 18 months of relevant data science experience.
- Hands-on experience developing and deploying machine learning and GenAI models scaling data solutions and delivering fullstack data science or AI engineering projects endtoend.
- Proficiency in statistical and ML techniques such as regression decision trees random forests neural networks and modern deep learning methods.
- Knowledge of data mining and modelling techniques including predictive modelling classification clustering and decision trees.
- Competency in software languages such as React.
- Experience with Python SQL and Cloud technologies for building deploying and scaling AI/ML solutions.
- Previous exposure to financial services or credit card analytics is a plus.
- Strong business acumen and the ability to frame and solve problems using datadriven and AIdriven methods.
- Teamoriented collaborative and adaptable with the ability to present technical insights to both technical and nontechnical audiences.
- High attention to detail to ensure data and model quality.
- Ability to translate complex AI/ML outputs into actionable recommendations.
- Experience presenting ideas models or analyses to stakeholders.
- Demonstrates intellectual curiosity and a strong desire to learn emerging AI technologies.
Preferred Qualifications:
- Experience in developing and applying Generative AI and Agentic AI solutions.
- Experience in geospatial data analysis.
- An innovative and unyielding eager to learn the latest DS/AI techniques
Additional Information :
Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race color religion sex national origin sexual orientation gender identity disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
Remote Work :
No
Employment Type :
Full-time
Key Skills
- Laboratory Experience
- ELISA
- Immunoassays
- Transfection
- Mammalian Cell Culture
- Suspension Experience
- Biochemistry
- Assays
- cGMP
- Cell Culture
- Molecular Biology
- Flow Cytometry
About Company
Visa (NYSE: V) is a world leader in digital payments, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories. Our purpose is to uplift everyone, everywhere by being the best way to pay and b ... View more
