Senior Data Scientist II
On-site · Shanghai, Shanghai, China
Job Summary
The Senior Data Scientist II conducts experiments on large datasets to evaluate NLP and LLM performance, while making sound engineering decisions to enhance software development practices. Responsibilities include performing advanced data analysis and machine learning to develop predictive and prescriptive models, collecting and cleaning large datasets, developing machine learning algorithms and AI solutions, creating compelling data visualizations, collaborating with cross-functional teams, and staging model deployment. A Master's or Ph.D. in a relevant field is required along with proven experience in data science and proficiency in languages like Python and relevant libraries.
Required Qualifications
- Master's or Ph.D. in Data Science, Computer Science, Statistics, or a related field.
- Proven experience (4-6 years) working in data science, machine learning, or AI, with a track record of delivering impactful projects.
- Proficiency in programming languages such as Python, as well as relevant data science libraries (e.g., scikit-learn, TensorFlow, PyTorch).
- Strong knowledge of statistical analysis, machine learning algorithms, and data manipulation techniques.
- Exceptional problem-solving skills and the ability to work independently and as part of a team.
- Excellent communication skills, including the ability to convey complex technical concepts to non-technical stakeholders.
Desired Qualifications
- Experience with generative AI models and techniques (e.g., LLMs, GANs) for content generation.
- Expertise in prompt engineering for fine-tuning language models like GPT-4 or similar models.
- Familiarity with RAG and related tuning & evaluation approaches.
Apply with one swipe on Sorce. We auto-fill applications and apply on your behalf — no cover letters, no 40-minute forms.
Hiring someone like this?
Get your role in front of qualified candidates on Sorce.