Job Title: Lead Data Scientist
Work Location: Jersey City NJ (Hybrid)
Type: Contract
About the Role
- As a Lead Data Scientist you will drive the development of advanced ML and AI solutions from experimentation through production. You will set technical direction while ensuring models deliver measurable business impact.
What Youll Do
- Model Development: Lead development of predictive models NLP systems and generative AI applications.
- Experimentation: Design experiments validate models and implement robust evaluation frameworks.
- Advanced Techniques: Apply techniques such as deep learning transfer learning and fine-tuning of LLMs.
- Production Collaboration: Work closely with ML Engineers to deploy and monitor models.
- Stakeholder Communication: Translate model outputs into actionable insights for leadership.
What Youll Bring
- 7 years of experience in applied machine learning.
- Strong foundation in statistics modeling and algorithm design.
- Experience with ML frameworks (PyTorch TensorFlow).
- Experience deploying models into production environments.
- Leadership experience guiding teams and projects.
Job Title: Lead Data Scientist Work Location: Jersey City NJ (Hybrid) Type: Contract About the Role As a Lead Data Scientist you will drive the development of advanced ML and AI solutions from experimentation through production. You will set technical direction while ensuring models deliver measura...
Job Title: Lead Data Scientist
Work Location: Jersey City NJ (Hybrid)
Type: Contract
About the Role
- As a Lead Data Scientist you will drive the development of advanced ML and AI solutions from experimentation through production. You will set technical direction while ensuring models deliver measurable business impact.
What Youll Do
- Model Development: Lead development of predictive models NLP systems and generative AI applications.
- Experimentation: Design experiments validate models and implement robust evaluation frameworks.
- Advanced Techniques: Apply techniques such as deep learning transfer learning and fine-tuning of LLMs.
- Production Collaboration: Work closely with ML Engineers to deploy and monitor models.
- Stakeholder Communication: Translate model outputs into actionable insights for leadership.
What Youll Bring
- 7 years of experience in applied machine learning.
- Strong foundation in statistics modeling and algorithm design.
- Experience with ML frameworks (PyTorch TensorFlow).
- Experience deploying models into production environments.
- Leadership experience guiding teams and projects.
View more
View less