What are the responsibilities and job description for the AI Data Scientist Lead position at Mitchell Martin?
Title: AI Data Scientist Lead
Location: Remote Position, Nationwide Availability
Employment Type: Full-Time/Perm
Description:
• We are looking for a Lead AI Data Scientist to drive the development of innovative solutions using advanced data extraction and machine learning techniques.
• The ideal candidate will be responsible for designing and deploying models that optimize data processing, enhance decision-making, and streamline entity identification.
• This role will also involve documenting model processes and collaborating with teams to provide technical expertise.
Responsibilities:
• Design and implement strategies for extracting valuable insights from diverse data sources for various applications.
• Evaluate and select suitable machine learning algorithms and methodologies, balancing efficiency and performance.
• Manage, validate, and deploy custom models, integrating them seamlessly into existing workflows.
• Develop and implement machine learning models to optimize complex decision-making processes.
• Identify and mitigate data redundancy through robust entity matching techniques.
• Write queries and generate reports to ensure the accuracy and reliability of models.
• Conduct cost-benefit analyses to choose optimal modeling approaches that meet performance and cost objectives.
• Document models comprehensively, offering accessible APIs for testing and validation.
Required Skills:
• Extensive experience in machine learning, including hands-on work with libraries such as scikit-learn, pandas, and Numpy.
• Proficient in training large-scale models using a modern deep learning framework (e.g., TensorFlow, Keras, PyTorch).
• Strong background in natural language processing (NLP) with experience using various NLP tools and libraries.
• Advanced degree in a related field, specializing in NLP or machine learning.
• Significant experience with cloud platforms and deploying large-scale models.
• Familiarity with decision trees and SQL for data querying and analysis.
• Expert-level programming skills in Python.
• Strong ability to mentor and train other team members on advanced data science techniques.
• Adept at documenting technical processes and procedures.
Desired Skills:
• AWS certification is advantageous.
• Experience in teaching or delivering presentations at industry conferences.
Compensation:
Salary: $119000-$170,000
Benefits:
A comprehensive benefits package is offered. Reach out to your Mitchell Martin Recruiter Nadine Ghabrial, NGhabrial@itmmi.com to find out more.
EEO Statement:
Learn more about our EEO policy here (https://www.mitchellmartin.com/eoe-statement).
#LI-NG1
Location: Remote Position, Nationwide Availability
Employment Type: Full-Time/Perm
Description:
• We are looking for a Lead AI Data Scientist to drive the development of innovative solutions using advanced data extraction and machine learning techniques.
• The ideal candidate will be responsible for designing and deploying models that optimize data processing, enhance decision-making, and streamline entity identification.
• This role will also involve documenting model processes and collaborating with teams to provide technical expertise.
Responsibilities:
• Design and implement strategies for extracting valuable insights from diverse data sources for various applications.
• Evaluate and select suitable machine learning algorithms and methodologies, balancing efficiency and performance.
• Manage, validate, and deploy custom models, integrating them seamlessly into existing workflows.
• Develop and implement machine learning models to optimize complex decision-making processes.
• Identify and mitigate data redundancy through robust entity matching techniques.
• Write queries and generate reports to ensure the accuracy and reliability of models.
• Conduct cost-benefit analyses to choose optimal modeling approaches that meet performance and cost objectives.
• Document models comprehensively, offering accessible APIs for testing and validation.
Required Skills:
• Extensive experience in machine learning, including hands-on work with libraries such as scikit-learn, pandas, and Numpy.
• Proficient in training large-scale models using a modern deep learning framework (e.g., TensorFlow, Keras, PyTorch).
• Strong background in natural language processing (NLP) with experience using various NLP tools and libraries.
• Advanced degree in a related field, specializing in NLP or machine learning.
• Significant experience with cloud platforms and deploying large-scale models.
• Familiarity with decision trees and SQL for data querying and analysis.
• Expert-level programming skills in Python.
• Strong ability to mentor and train other team members on advanced data science techniques.
• Adept at documenting technical processes and procedures.
Desired Skills:
• AWS certification is advantageous.
• Experience in teaching or delivering presentations at industry conferences.
Compensation:
Salary: $119000-$170,000
Benefits:
A comprehensive benefits package is offered. Reach out to your Mitchell Martin Recruiter Nadine Ghabrial, NGhabrial@itmmi.com to find out more.
EEO Statement:
Learn more about our EEO policy here (https://www.mitchellmartin.com/eoe-statement).
#LI-NG1
Salary : $119,000 - $170,000
