VIRTUSA
1 month ago
Data Scientist- Relocation To Singapore @ VIRTUSA
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Company information
- Company
- VIRTUSA
- Location
- Polska Poland
- Posted
- 1 month ago
Job description
- A degree in Computer Science, Data Science, Statistics, Artificial Intelligence, Computational Linguistics or a related quantitative discipline, or equivalent practical experience.
- Demonstrated experience using data science or machine learning to solve real-world problems, preferably involving natural language processing, generative AI, search or information retrieval.
- Strong programming skills in Python and working knowledge of SQL, data processing, version control and software-development practices.
- Sound understanding of statistics, experimental design, evaluation methodology, sampling, error analysis and model validation.
- Experience working with unstructured text or other complex data types, and evaluating machine-learning or generative AI systems beyond a single aggregate metric.
- Familiarity with modern NLP and AI concepts such as embeddings, language models, prompt design and model evaluation.
- Ability to write maintainable code and work with engineers to bring data-science solutions into production.
- Strong analytical, problem-solving and communication skills, with the ability to explain technical findings and trade-offs clearly to diverse audiences.
- A proactive and collaborative mindset, willingness to learn, and motivation to improve public services and communications through technology
- Communicative English
- Relocation Package for you and your family
- Care of Buddy during your stay in Singapore
- Fully on site work
Required skills
- communication skills
- software development
- generative ai
- sql
- ai
- python
- nlp
- error analysis
- embeddings
- artificial intelligence
- machine learning
- data science
- version control
- computer science
- statistics
- relocation package
- ml
- natural language processing
- sampling
- data scientist
- data processing
- search
- model validation
- private healthcare
- international projects
- experimental design
- prompt design
- language models
- training budget
- computational linguistics
- information retrieval
- evaluation methodology
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