Senior Data Scientist
Responsibilities:
- Collaborate within a cross-functional team of designers, engineers, and product managers to understand business objectives and transform them into technical requirements, while brainstorming and implementing end-to-end data or technical solutions.
- Oversee the entire deployment lifecycle of machine learning models, including data collection, preprocessing, model training, evaluation, and deployment.
- Design and build scalable machine learning algorithms and systems capable of handling large datasets with high reliability.
- Maintain and improve existing models and API services.
- Continuously research and stay informed about the latest advancements in machine learning.
- Develop and maintain data extraction and transformation pipelines.
- Be adept at working with unstructured and messy data.
- Create prototypes for new data science-driven features, including both frontend and backend for the application.
Qualifications:
- A minimum of 3 years of hands-on experience as a Data Scientist.
- Strong communication and analytical abilities.
- Proven experience (in both academia and/or industry) leading independent data science projects.
- Proficiency in Python, SQL, and/or Node.js.
- Solid understanding of data structures, algorithms, optimization techniques, caching, and multi-service architecture.
- Practical expertise in machine learning, statistical modeling, and/or systems modeling.
- Experience or familiarity with natural language processing.
- Hands-on experience with accessing data from SQL and NoSQL databases, particularly MongoDB.
- Familiarity with cloud platforms and analytics services (GCP, AWS, Azure, etc.).
- Proficiency in Kubernetes and container orchestration.
- Experience in DevOps practices, including Infrastructure-as-Code (IaC), GitOps, and CI/CD tools like Terraform, Argo CD, and GitHub Actions.
- Expertise in deploying machine learning models at scale and managing ML pipelines.
- A strong understanding of software engineering best practices and writing clean, maintainable code.
- Experience working with ETL processes for messy and unstructured data.
For a confidential discussion, please reach out to me at fiona.wong@sanderson-ikas.sg
Personal data collected will be used for recruitment purposes only.
Only shortlisted candidates will be notified / contacted.
EA Registration No: R21101138
"Sanderson-iKas" is the brand name for iKas International (Asia) Pte Ltd, a company incorporated in Singapore under Company UEN No.: 200914065E with EA license number 16S8086.
Website: www.sanderson-ikas.sg