Lead Data Scientist

Compunnel, Inc.; Jersey City (NJ); On-site; USD 130,000 - 160,000; Full time

Job summary

A tech solutions company is seeking a Lead Data Scientist to spearhead the development of advanced machine learning and AI solutions in Jersey City. This role entails creating predictive models and generative AI applications while collaborating with teams. The ideal candidate has over 7 years of experience in applied machine learning, oversees model validation and deployment, and possesses strong leadership skills. This position promises a challenging yet rewarding opportunity in a cutting-edge field.

Qualifications

• 7+ years of experience in applied machine learning.

Responsibilities

• Lead the development of predictive models and generative AI applications.
• Design and execute experiments to validate models.
• Collaborate with ML engineers to deploy models in production.

Skills

Applied machine learning

NLP systems

Deep learning

Transfer learning

Generative AI applications

Statistical modeling

Algorithm design

PyTorch

TensorFlow

Leadership

Job description

We are seeking a Lead Data Scientist to drive the development of advanced machine learning and AI solutions from experimentation through production. This role involves setting technical direction, leading model development, and ensuring that solutions deliver measurable business impact while collaborating with cross‑functional teams.

Key Responsibilities

• Lead the development of predictive models, NLP systems, and generative AI applications
• Design and execute experiments, validate models, and implement robust evaluation frameworks
• Apply advanced techniques such as deep learning, transfer learning, and fine‑tuning of large language models
• Collaborate with ML engineers to deploy, monitor, and maintain models in production environments
• Translate complex model outputs into actionable insights for business stakeholders and leadership

Required Qualifications

• 7+ years of experience in applied machine learning

Preferred Qualifications

• Strong foundation in statistics, modeling, and algorithm design
• Experience with machine learning frameworks such as PyTorch and TensorFlow
• Experience deploying machine learning models into production environments
• Proven leadership experience in guiding teams and projects