Lead Data Scientist

Tom Trese Networking LLC; Houston (TX); Remote; USD 143,000 - 180,000; Full time

Benefits offered by this job

Travel up to 20%

Visa sponsorship: some cases

Job summary

Tom Trese Networking LLC seeks a dynamic Lead Data Scientist to steer advanced data science initiatives, with a focus on Generative AI and LLMs in production, especially for healthcare data.

You will guide cross-functional teams in analyzing complex datasets, translating insights into business and clinical outcomes, and collaborating with senior stakeholders to meet regulatory requirements.

Qualifications

• Bachelor's degree in CS/Data Science/Statistics or related STEM field; Master's degree preferred.
• 7+ years of experience in data science, healthcare data focus.
• Proven experience deploying Generative AI/LLM solutions in production.
• Strong foundation in machine learning techniques and statistical analysis.
• Excellent communication and leadership to present insights to senior leadership.

Responsibilities

• Lead development and deployment of ML models, focusing on Generative AI and LLMs for production.
• Oversee end-to-end data science lifecycle from conception to deployment and monitoring.
• Mentor and lead a team of data scientists, promoting innovation and excellence.
• Collaborate with senior stakeholders to align projects with business goals and healthcare regulations.
• Evaluate and refine models to improve predictive accuracy for healthcare data.
• Translate complex findings for technical and non-technical audiences.

Skills

Generative AI

LLMs

Machine Learning

Statistical Analysis

Leadership

Education

Bachelor's Degree in CS/Data Science/Statistics

Master's Degree preferred

Job description

Lead Data Scientist

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.

Role Overview

As a Lead Data Scientist, you will guide cross-functional teams in analyzing complex datasets to derive actionable insights, leveraging advanced statistical and machine learning methodologies. This position is pivotal for translating intricate data science projects into tangible business and clinical outcomes, and it requires hands-on experience with sophisticated AI solutions in healthcare.

Key Responsibilities

• 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.

Qualifications

• 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.

Compensation & Benefits

Salary Range: $143,000.00 - $180,000.00 USD

• TRAVEL - Up to 20% of the time- BUSINESS MEETINGS
• Visa Sponsorship: Some visa sponsorships supported

This position is primarily remote working flexible shift