Principal Data Scientist
at Johnson Johnson
Singapore, Southeast, Singapore -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 31 Aug, 2024 | Not Specified | 31 May, 2024 | 6 year(s) or above | Forecasting,Computer Science,Mathematics,Business Analytics,Machine Learning,Anomaly Detection,Python,Code,Statistics,Semantic Search,Algorithms,Bioinformatics,Infrastructure,History,Training | No | No |
Required Visa Status:
Citizen | GC |
US Citizen | Student Visa |
H1B | CPT |
OPT | H4 Spouse of H1B |
GC Green Card |
Employment Type:
Full Time | Part Time |
Permanent | Independent - 1099 |
Contract – W2 | C2H Independent |
C2H W2 | Contract – Corp 2 Corp |
Contract to Hire – Corp 2 Corp |
Description:
Johnson & Johnson Innovative Medicine (JJIM), formerly Janssen, is driven by dedication to product innovation, customer focus, and organisational excellence. From research to real-life solutions, JJIM has a long track record in developing and marketing treatments that make a real difference.
We are currently looking for a unique individual with exceptional analytical, communication and data problem solving skills to join the Asia Pacific Data Science Centre of Excellence, as we work on transformational data science initiatives that are innovating and changing the way JJIM operates.
QUALIFICATIONS
Key to your success in this role will be your foundational expertise in machine learning and proven history of writing clean and efficient code for the purpose of leveraging the latest data science technologies for organisational impact.
REQUIREMENTS:
- Master’s/PhD in computer science, machine learning, business analytics, statistics, mathematics, bioinformatics, or related discipline.
- At least 6 years of experience in developing and deploying ML solutions in a variety of ML areas such as recommendation engine, semantic search, forecasting, anomaly detection, STT, TTS etc.
- Strong experience and knowledge of various gen-AI models and architectures, including fine-tuning open-source models, distributed training and hosting of LLM and LLM Ops.
- Solid understanding of foundational machine learning concepts and algorithms.
- Experience working with good DevOps practices, familiarity with CI/CD tools and infrastructure as code (Docker/Kubernetes/etc).
- Expert knowledge of Python and SQL programming.
Responsibilities:
Please refer the Job description for details
REQUIREMENT SUMMARY
Min:6.0Max:11.0 year(s)
Information Technology/IT
IT Software - Other
Software Engineering
LLM
Proficient
1
Singapore, Singapore