Lead Data Scientist

MJ Recruiters
Houston, TX, United States
6 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
7 years minimum
Compensation
$143,000.0 - $180,000.0
Working hours
Shift work

Tech stack

Machine Learning Large Language Models Generative AI Information Technology

Job description

  • Lead the development and deployment of advanced machine learning models, with a focus on Generative AI and LLMs, ensuring their integration into production systems.
  • Oversee the entire data science project lifecycle, from model conception to deployment and continuous monitoring.
  • Provide technical leadership and mentorship to a team of data scientists, fostering an environment of innovation and excellence.
  • Collaborate with senior stakeholders to align data science projects with business objectives and healthcare regulations.
  • Evaluate and refine existing models to enhance their predictive accuracy and applicability to healthcare datasets.
  • Communicate complex analytical findings to both technical and non-technical audiences, ensuring clarity and relevance.

Requirements

We are on the lookout for a dynamic and experienced Lead Data Scientist to steer our advanced data science initiatives, particularly in the healthcare sector. This role demands not only a deep understanding of data science principles but also a proven track record in deploying Generative AI and Large Language Models (LLMs) in a production environment., * Bachelor’s Degree in Computer Science, Data Science, Statistics, or a related STEM field; Master’s Degree preferred.

  • Minimum of seven years of experience in data science, with a significant focus on healthcare data.
  • Proven experience in deploying Generative AI/LLM solutions in a production environment.
  • Strong foundation in machine learning techniques and statistical analysis.
  • Outstanding communication skills with the ability to present complex data insights to senior leadership.
  • Demonstrated ability to lead projects and manage multiple priorities in a fast-paced setting.

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