Data Scientist jobs in Germany
Senior Data Scientist
VELOX PAY SINGAPORE PTE. LTD.
Sr Data Scientist
Seagate Technology
Data Scientist
PRUDENTIAL SERVICES SINGAPORE PTE. LTD.
Bioinformatics/Data Scientist (Computational Biology, EDDC)
A*STAR RESEARCH ENTITIES
Discover more opportunities than anywhere else. Find more jobs nowStaff Data Scientist
Seagate Technology
Data Scientist
Seagate Technology
Data Scientist
SEAGATE SINGAPORE INTERNATIONAL HEADQUARTERS PTE. LTD.
Connect with headhunters to apply for similar jobsJunior Data Analyst | Grow into Data Scientist in Singapore
PETRO-V | Petroleum Vision
Data Scientist & Data Engineer: Build High-Impact Analytics
AVEPOINT SINGAPORE PTE. LTD.
Data Scientist - AI/ML for Scientific Discovery & Systems
SEAGATE SINGAPORE INTERNATIONAL HEADQUARTERS PTE. LTD.
Data Scientist, AI/ML Research — SciML, GNNs & Systems
Seagate Technology
Data Scientist & Data Engineer: Build High-Impact Analytics
AVEPOINT SINGAPORE PTE. LTD.
Bioinformatics & Data Scientist — Target Discovery
A*STAR RESEARCH ENTITIES
Staff Data Scientist: AI for Smart Maintenance & OEE
Seagate Technology
Data Scientist
AVEPOINT SINGAPORE PTE. LTD.
Data Scientist - HR & Talent Analytics
Ministry of Defence of Singapore
Data Scientist - Army
Ministry of Defence of Singapore
Analytics & Operations Data Scientist
ST LOGISTICS PTE. LTD.
Neuroimaging Data Scientist ML – Research Associate
NANYANG TECHNOLOGICAL UNIVERSITY
Data Scientist & Analytics Visualization Lead
National University of Singapore
Data Scientist/ Date Analyst
National University of Singapore
Data Scientist
AVEPOINT SINGAPORE PTE. LTD.
Data Scientist
Job summary
A leading data science company in Singapore is seeking an experienced Data Scientist to develop and deploy machine learning models, automate MLOps processes, and analyze large datasets. The ideal candidate will hold a relevant degree and have 3-5 years of experience. Responsibilities include building statistical models, designing experiments, and communicating insights to stakeholders. The role requires expertise in big data technologies and machine learning frameworks. Join a dynamic team focused on innovative AI solutions in a thriving tech environment.
Qualifications
- 3-5+ years of working experience in Data Science, machine learning and deep learning.
- In-depth understanding of machine learning and deep learning algorithms.
- Hands-on experience in developing and deploying machine learning models.
Responsibilities
- Build statistical and machine learning models to analyze customer data.
- Design and implement experiments to measure the impact of strategies.
- Implement robust MLOps pipelines to automate model deployment.
Skills
Education
Tools
Build statistical and machine learning models to analyse large (PB-scale) volume of customer data, uncovering valuable insights and patterns
Design and implement experiments, including A/B tests and causal inference to measure the impact of different strategies, initiatives, and product changes on user behaviour and business outcomes
Implement robust MLOps pipelines to automate the deployment, monitoring, and maintenance of models in production environments
Effectively communicate complex findings and insights to both technical and non-technical stakeholders
Stay updated with the latest advancements in AI and Generative AI technologies.
Build Big Data pipelines to support data science-related projects
Bachelor's degree or above in Statistics, Applied Mathematics, Computer Science or a related field
3-5+ years of working experience in Data Science, machine learning and deep learning
In-depth understanding of machine learning and deep learning algorithms
Hands-on experience in developing and deploying machine learning/deep learning models in production
Experience with common analysis tools(SQL/ Python)
Familiar and comfortable with large volumes of data and big data technology
(Hadoop/Spark/Hive)Experience in using deep learning frameworks(Tensorflow/PyTorch)
Solid technical & knowledge of A/B testing methodologies, can consistently explore and find the best practice
Self-direction and willingness to both teach others and learn new techniques
Knowledge and affinity of GenAI libraries and toolsets including HuggingFace,
LangChain, RAGAS, and more is a plusHands-on experience in RAG and fine-tune LLMs is a plus
Have a strong ability to work under pressure, have the courage to overcome
difficulties, and accept challenges
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.